subject:(Multilevel)

Vanderbilt University

1. Rights, Jason Douglas. The relationship between multilevel models and nonparametric multilevel mixture models.

Degree: MS, Psychology, 2015, Vanderbilt University

► Multilevel data structures are common in the social sciences. Often, such nested data are analyzed with multilevel models (MLMs) wherein heterogeneity between clusters is modeled… (more)

Subjects/Keywords: nonparametric multilevel mixture models; multilevel models

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APA (6^th Edition):

Rights, J. D. (2015). The relationship between multilevel models and nonparametric multilevel mixture models. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14436

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rights, Jason Douglas. “The relationship between multilevel models and nonparametric multilevel mixture models.” 2015. Thesis, Vanderbilt University. Accessed February 27, 2021. http://hdl.handle.net/1803/14436.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rights, Jason Douglas. “The relationship between multilevel models and nonparametric multilevel mixture models.” 2015. Web. 27 Feb 2021.

Vancouver:

Rights JD. The relationship between multilevel models and nonparametric multilevel mixture models. [Internet] [Thesis]. Vanderbilt University; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1803/14436.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rights JD. The relationship between multilevel models and nonparametric multilevel mixture models. [Thesis]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/14436

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cape Peninsula University of Technology

2. Almaktoof, Ali Mustafa Ali. Multilevel inverters using finite set- model predictive current control for renewable energy systems applications .

Degree: 2015, Cape Peninsula University of Technology

URL: http://etd.cput.ac.za/handle/20.500.11838/1202

► This research focuses on the predictive current control of multilevel converters with the aim of providing an optimized system for three-phase, multilevel inverters (MLIs) so… (more)

▼ This research focuses on the predictive current control of multilevel converters with the aim of providing an optimized system for three-phase, multilevel inverters (MLIs) so that the load current and the voltage of the capacitors can be controlled. A model predictive current control algorithm is proposed, specifically directed at the utilisation of power obtained from renewable energy systems (RESs). The model was developed for three-phase, multilevel voltage source inverters (MLVSIs), three-phase, three-level diode-clamped converters (DCCs) and flying capacitor converters (FCCs). In this study the renewable energy systems model is used to investigate system performance when power is supplied to a resistiveinductive load (RL-load). The proposed control method was split into two different control algorithms. Firstly, a finite set-model predictive current control (FS-MPCC) method was developed to control the output current of three-phase, MLIs. This control method was selected to reduce the calculation effort for model predictive control (MPC) and to increase the possible prediction horizon. Secondly, to solve the flying capacitor voltage balance problem in an FCC, as well as to solve the DC-link capacitor voltage balance problem in a DCC, a hysteresis-voltage alancing algorithm based on predictive control, was designed—this algorithm was used to keep the flying capacitor voltages and DC-link capacitor voltages within their hysteresis bands. Finally, for some classes of power converters, a performance evaluation of the FS-MPCC method for three-phase, three-level MLIs was investigated in terms of power quality and dynamic response. The improvement was assessed in terms of total harmonic distortion (THD) of the output voltage for the RL-load. The modelling and co-simulation were carried out using MATLAB/Simulink with PSIM software. The co-simulation results indicated that the proposed control algorithms achieved both high performance and a high degree of robustness in RESs applications.

Subjects/Keywords: Multilevel converters; Multilevel inverters; Renewable energy systems; Multilevel voltage source inverters

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APA (6^th Edition):

Almaktoof, A. M. A. (2015). Multilevel inverters using finite set- model predictive current control for renewable energy systems applications . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/1202

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Almaktoof, Ali Mustafa Ali. “Multilevel inverters using finite set- model predictive current control for renewable energy systems applications .” 2015. Thesis, Cape Peninsula University of Technology. Accessed February 27, 2021. http://etd.cput.ac.za/handle/20.500.11838/1202.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Almaktoof, Ali Mustafa Ali. “Multilevel inverters using finite set- model predictive current control for renewable energy systems applications .” 2015. Web. 27 Feb 2021.

Vancouver:

Almaktoof AMA. Multilevel inverters using finite set- model predictive current control for renewable energy systems applications . [Internet] [Thesis]. Cape Peninsula University of Technology; 2015. [cited 2021 Feb 27]. Available from: http://etd.cput.ac.za/handle/20.500.11838/1202.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Almaktoof AMA. Multilevel inverters using finite set- model predictive current control for renewable energy systems applications . [Thesis]. Cape Peninsula University of Technology; 2015. Available from: http://etd.cput.ac.za/handle/20.500.11838/1202

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Arizona State University

3. Gunn, Heather Joanne. Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable.

Degree: Psychology, 2016, Arizona State University

URL: http://repository.asu.edu/items/38458

► Measurement invariance exists when a scale functions equivalently across people and is therefore essential for making meaningful group comparisons. Often, measurement invariance is examined with… (more)

Subjects/Keywords: Quantitative psychology; definition variable; measurement invariance; multigroup multilevel CFA; multilevel; multilevel MIMIC

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APA (6^th Edition):

Gunn, H. J. (2016). Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/38458

Chicago Manual of Style (16^th Edition):

Gunn, Heather Joanne. “Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable.” 2016. Masters Thesis, Arizona State University. Accessed February 27, 2021. http://repository.asu.edu/items/38458.

MLA Handbook (7^th Edition):

Gunn, Heather Joanne. “Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable.” 2016. Web. 27 Feb 2021.

Vancouver:

Gunn HJ. Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2021 Feb 27]. Available from: http://repository.asu.edu/items/38458.

Council of Science Editors:

Gunn HJ. Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/38458

4. Muralidhara,.B. An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -.

Degree: Electrical and Electronic engineering, 2013, Jawaharlal Nehru Technological University, Hyderabad

URL: http://shodhganga.inflibnet.ac.in/handle/10603/19048

►

Variable speed inverter fed Induction Motor (IM) drives are increasingly used in many commercial and industrial applications, the newlinehigh frequency switching operation (2 to 20kHz)… (more)

Subjects/Keywords: Evaluation; Experimental; Induction; Multilevel

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APA (6^th Edition):

Muralidhara,.B. (2013). An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -. (Thesis). Jawaharlal Nehru Technological University, Hyderabad. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/19048

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Muralidhara,.B. “An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -.” 2013. Thesis, Jawaharlal Nehru Technological University, Hyderabad. Accessed February 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/19048.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Muralidhara,.B. “An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -.” 2013. Web. 27 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Muralidhara,.B. An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -. [Internet] [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2013. [cited 2021 Feb 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19048.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Muralidhara,.B. An Experimental evaluation of two level and multilevel inverters used for speed control of induction motor and study of common mode voltage present in both cases; -. [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19048

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

5. Umarani, R. A hybrid multilevel approach to enhance data security through crypto and stegano systems.

Degree: Computer Science, 2014, Periyar University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/20614

► Nowadays computers form a part of everyones life Internet becomes a newlinevast resource of information Most of the public academicians industrialists newlinecommon businessmen and enterprises… (more)

▼ Nowadays computers form a part of everyones life Internet becomes a newlinevast resource of information Most of the public academicians industrialists newlinecommon businessmen and enterprises all use internet for some purpose or the newlineother They use internet mainly for transferring information Internet plays a vital newlinerole in all the business transactions today newlineIn conventional days data are stored physically Any confidential newlineinformation is written typed in a paper and that is kept in a locker Only the newlineperson who has the key to the locker can access the data Hence security of the newlinedata is guaranteed newlineWhen data transfer takes place through internet it is done electronically newlineData is stored as bits and bytes When it is available in the internet it is available newlineto the whole universe Anyone at any time anywhere can access the data and newlinetamper it Electronic data transfer through internet does not guarantee any newlinesecurity of the data Hence electronic data storage does not enforce any security newlineunless some strong measures have been taken newlineWhen transferring data over the internet its security is to be given utmost newlineimportance Hence means must be provided to keep the data secured There are newlinelots of techniques available to store the data in a secured way But none of them newlinehas proved to be an efficient one Most of the methods are vulnerable to attacks in newlineoneway or the other newlineNetwork security is indeed the hot topic of discussion amongst all newlinecomputer enthusiasts and it has also become a major concern in boardrooms newlineacross the globe Companies have started taking computer security very seriously newlineand now have dedicated technical teams who maintain and secure the companys newlinesensitive information round the clock Even individuals who use the ultimate newlineknowledge tool known to mankind namely the internet for recreational purposes newlineonly have started to show an increased demand for tools or ways to protect their newlinesystem against computer criminals However the bottom line is that computer newlinecriminals have always been two steps ahead of crime fighting agencies and the newlinetarget Advisors/Committee Members: Duraiswamy, K.

Subjects/Keywords: HYBRID MULTILEVEL; STEGANO SYSTEMS

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APA (6^th Edition):

Umarani, R. (2014). A hybrid multilevel approach to enhance data security through crypto and stegano systems. (Thesis). Periyar University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/20614

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Umarani, R. “A hybrid multilevel approach to enhance data security through crypto and stegano systems.” 2014. Thesis, Periyar University. Accessed February 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/20614.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Umarani, R. “A hybrid multilevel approach to enhance data security through crypto and stegano systems.” 2014. Web. 27 Feb 2021.

Vancouver:

Umarani R. A hybrid multilevel approach to enhance data security through crypto and stegano systems. [Internet] [Thesis]. Periyar University; 2014. [cited 2021 Feb 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/20614.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Umarani R. A hybrid multilevel approach to enhance data security through crypto and stegano systems. [Thesis]. Periyar University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/20614

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

6. Lin, Shuqiong. A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis.

Degree: PhD, Educational Psychology, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173483

► The logistic regression model is the most commonly used analysis method for modeling binary data. Unbiased estimation using logistic regressions heavily depends on strong model… (more)

▼ The logistic regression model is the most commonly used analysis method for modeling binary data. Unbiased estimation using logistic regressions heavily depends on strong model assumptions which are often violated in reality. The classification and regression tree (CART) algorithm gains its popularity to replace the logistic regression, because CART does not require model assumptions and can model complex relationships automatically. However, only limited studies developed multilevel CART (M-CART) algorithms for modeling multilevel data with binary outcomes. Therefore, in the first study, a new M-CART algorithm was proposed for modeling multilevel data with binary outcomes which combines the multilevel logistic regression (M-logit) and the single-level CART (S-CART) using an expectation-maximization algorithm. This proposed algorithm allows inclusion of covariates at all levels, depends on no model assumptions, and captures interaction and nonlinearity in an automatic way. The performance of the proposed M-CART was compared with M-CART, S-CART, and single-level logistic regression (S-logit) in terms of prediction accuracy. Results from simulation study showed that M-CART lead to higher classification accuracy, sensitivity, specificity and Klecka's tau values than all other three methods. In the second study, the proposed M-CART algorithm was applied in propensity score analysis (PSA) when having multi-site non-randomized control trials (non-RCTs). PSA is the most popular statistical technique that estimates the casual effect of a treatment by eliminating the systematic differences of pre-treatment covariates between individuals who receive treatment and individuals who do not receive treatment. M-logit and S-CART have been applied to estimate propensity scores, while no study has explored the performance of using M-CART for estimation. Thus, in the second study, the performance of the proposed M-CART was compared with M-logit, S-CART, and S-logit in terms of covariate balance and treatment effect estimation. Results indicated that M-CART was more stable than the M-logit, S-CART and S-logit on achieving pre-treatment covariate balances and always yielded reasonable covariate balances over all conditions. Results further showed that, regardless of the PS conditioning approaches, M-CART yielded the least relative biases in the treatment effect estimations across all simulated conditions than other methods. Advisors/Committee Members: Luo, Wen (advisor), Kwok, Oi-Man (committee member), Yoon, Myeongsun (committee member), Chen, Lei-Shih (committee member).

Subjects/Keywords: Multilevel CART; Propensity Score Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lin, S. (2018). A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173483

Chicago Manual of Style (16^th Edition):

Lin, Shuqiong. “A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis.” 2018. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/173483.

MLA Handbook (7^th Edition):

Lin, Shuqiong. “A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis.” 2018. Web. 27 Feb 2021.

Vancouver:

Lin S. A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/173483.

Council of Science Editors:

Lin S. A New Multilevel Cart Algorithm and Its Application in Propensity Score Analysis. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173483

Penn State University

7. Nolan, Katherine A. IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13396kam664

► Educational research often involves hierarchical or nested data such as, students nested within schools or classrooms, which violates the independence assumption and may lead to… (more)

Subjects/Keywords: Nested; Multilevel Modeling; IRT; Hierarchical

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APA (6^th Edition):

Nolan, K. A. (2016). IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13396kam664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nolan, Katherine A. “IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH.” 2016. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/13396kam664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nolan, Katherine A. “IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH.” 2016. Web. 27 Feb 2021.

Vancouver:

Nolan KA. IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/13396kam664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nolan KA. IGNORING HIERARCHICAL DATA STRUCTURE IN ITEM RESPONSE THEORY ANALYSES: IMPLICATIONS FOR EDUCATIONAL AND PSYCHOLOGICAL RESEARCH. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13396kam664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

8. Nolan, Katherine A. Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models.

Degree: 2014, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/21823

► Educational research often involves hierarchical or nested data such as students nested within classrooms. Nested data violates the independence assumption which may lead to incorrect… (more)

Subjects/Keywords: nested; hierarchical; multilevel; factor analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nolan, K. A. (2014). Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/21823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nolan, Katherine A. “Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models.” 2014. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/21823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nolan, Katherine A. “Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models.” 2014. Web. 27 Feb 2021.

Vancouver:

Nolan KA. Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/21823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nolan KA. Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/21823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

9. Fatimah, Shereen. A COLLECTIVE ACTION APPROACH TO PROACTIVITY.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/14227sxf944

► In this dissertation, I draw on the social movements literature and system justification theory to put forward a collective action approach to the study of… (more)

▼ In this dissertation, I draw on the social movements literature and system justification theory to put forward a collective action approach to the study of proactivity. To this end, in the first chapter, I develop a collective action process for change implementation by incorporating individual, meso, and organizational influences on the implementation of proactive initiatives in the workplace. Specifically, I propose a multi-phase process where the proactive employee (1) crafts a proactive initiative to capitalize on an opportunity or prevent a problem in the workplace, (2) mobilizes his/her coworkers to play a role in implementing the initiative, (3) puts together a collective action team, (4) which then works together to refine the proactive initiative and implement the change in the workplace. In doing so, I draw on the social movements literature to outline how proactive employees may mobilize a collection action to implement the change and I draw on system justification theory to examine when and why employees will be willing to challenge the status quo and engage in a collective action process for change implementation. Following which, in the second chapter, I test one part of a collective action process for change implementation by examining the recruitment of coworkers to participate in implementing a proactive initiative. In this chapter, drawing on the social movements literature and system justification theory, I examine the effectiveness of framing strategies that proactive employees may use and the role of the organizational context in motivating peers to participate in a collective action process for change implementation. Across two experimental designs, I examined the effectiveness of the framing strategies and organizational context in motivating peers to participate in implementing a student-led mentorship program. Taking together the results of the empirical studies, I outline the limitations of the study designs and discuss directions for future research on the recruitment of coworkers to participate in a collective action process for change implementation. Advisors/Committee Members: Lance Ferris, Dissertation Advisor/Co-Advisor, Lance Ferris, Committee Chair/Co-Chair, Stephen Erik Humphrey, Committee Member, Forrest Scott Briscoe, Committee Member, Alicia Ann Grandey, Outside Member.

Subjects/Keywords: PROACTIVITY; COLLECTIVE ACTION; MOTIVATION; MULTILEVEL

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APA (6^th Edition):

Fatimah, S. (2017). A COLLECTIVE ACTION APPROACH TO PROACTIVITY. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14227sxf944

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fatimah, Shereen. “A COLLECTIVE ACTION APPROACH TO PROACTIVITY.” 2017. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/14227sxf944.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fatimah, Shereen. “A COLLECTIVE ACTION APPROACH TO PROACTIVITY.” 2017. Web. 27 Feb 2021.

Vancouver:

Fatimah S. A COLLECTIVE ACTION APPROACH TO PROACTIVITY. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/14227sxf944.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fatimah S. A COLLECTIVE ACTION APPROACH TO PROACTIVITY. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14227sxf944

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Maheshwari, V. A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -.

Degree: Electronic engineering, 2014, St Peters University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/42700

Available

Bibliography p.104-114

Advisors/Committee Members: Manikandan, M.

Subjects/Keywords: multilevel inverter

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APA (6^th Edition):

Maheshwari, V. (2014). A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -. (Thesis). St Peters University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/42700

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Maheshwari, V. “A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -.” 2014. Thesis, St Peters University. Accessed February 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/42700.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Maheshwari, V. “A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -.” 2014. Web. 27 Feb 2021.

Vancouver:

Maheshwari V. A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -. [Internet] [Thesis]. St Peters University; 2014. [cited 2021 Feb 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42700.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maheshwari V. A novel less THD and high frequency twenty seven level asymmetrical multilevel inverter; -. [Thesis]. St Peters University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42700

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Addis Ababa University

11. Medhanit, Getachew. Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey .

Degree: 2014, Addis Ababa University

URL: http://etd.aau.edu.et/dspace/handle/123456789/7420

► This study is an attempt to investigate the determinants of contraceptive use among women in Ethiopia using the 2011 Ethiopia Demographic and Health Survey (EDHS… (more)

Subjects/Keywords: Contraceptive use; women; Multilevel Analysis

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APA (6^th Edition):

Medhanit, G. (2014). Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/7420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Medhanit, Getachew. “Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey .” 2014. Thesis, Addis Ababa University. Accessed February 27, 2021. http://etd.aau.edu.et/dspace/handle/123456789/7420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Medhanit, Getachew. “Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey .” 2014. Web. 27 Feb 2021.

Vancouver:

Medhanit G. Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey . [Internet] [Thesis]. Addis Ababa University; 2014. [cited 2021 Feb 27]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/7420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Medhanit G. Multilevel Analysis of the Current Use of Contraceptive and Family Planning Knowledge: Evidence from the 2011 Ethiopia Demographic and Health Survey . [Thesis]. Addis Ababa University; 2014. Available from: http://etd.aau.edu.et/dspace/handle/123456789/7420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Oregon State University

12. Giovanini, John. Generalized linear mixed models with censored covariates.

Degree: PhD, Statistics, 2008, Oregon State University

URL: http://hdl.handle.net/1957/9021

► This dissertation is about statistical methods for data analysis using generalized linear mixed models (GLMMs) with censored covariates. Special attention in given to the particular… (more)

▼ This dissertation is about statistical methods for data analysis using generalized linear mixed models (GLMMs) with censored covariates. Special attention in given to the particular problem of inference about age-specific reproductive success in wild animal populations using some animals with known ages and some animals with ages only known to exceed some lower bound. GLMMs allow for non-normal response distributions, such as a Poisson distribution for the number of offspring from a parent in one year, and they account for the correlation of repeated responses from the same observational unit, such as the correlation of the number of offspring from the same parent over multiple years. A computational algorithm for maximum likelihood estimation and two approximate estimation methods are proposed. The full solution uses the EM algorithm with Markov Chain Monte Carlo techniques for the E-step. The approximations are presented as techniques that may be nearly as good as the full maximum likelihood analysis but that are easier for wildlife biologists to use. One uses a Laplace approximation to the log-likelihood to capitalize on existing programs for GLMM estimation. The other is a regression calibration method in which the missing ages are simply replaced by predicted values. The full likelihood analysis is demonstrated on a study of age-specific reproductive success of Northern Spotted Owls (Strix occidentalis caurina). A simulation study was used to evaluate the operating characteristics of the three methods and to highlight the potential gains of these methods over the common practice of ignoring animals with unknown ages. The conditions of the simulations were chosen to roughly match those in the spotted owl study. It appears that the use of the owls with censored ages reduces the widths of 95% confidence intervals for important regression coefficients by about 39% if full maximum likelihood analysis is used. The corresponding reduction for the regression calibration estimator is about 27%. A main conclusion of this thesis is that the regression calibration estimator can offer substantially higher efficiency than the commonly used GLMM estimator with animals of unknown ages excluded and, importantly, wildlife biologists can use it with computing modules that are already available in standard statistical computing packages. Advisors/Committee Members: Schafer, Daniel (advisor), Pereira, Cliff (committee member).

Subjects/Keywords: Censored covariates; Multilevel models (Statistics)

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APA (6^th Edition):

Giovanini, J. (2008). Generalized linear mixed models with censored covariates. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/9021

Chicago Manual of Style (16^th Edition):

Giovanini, John. “Generalized linear mixed models with censored covariates.” 2008. Doctoral Dissertation, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/9021.

MLA Handbook (7^th Edition):

Giovanini, John. “Generalized linear mixed models with censored covariates.” 2008. Web. 27 Feb 2021.

Vancouver:

Giovanini J. Generalized linear mixed models with censored covariates. [Internet] [Doctoral dissertation]. Oregon State University; 2008. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/9021.

Council of Science Editors:

Giovanini J. Generalized linear mixed models with censored covariates. [Doctoral Dissertation]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/9021

University of Wisconsin – Stout

13. Blasko, Christopher D. Developing a high performing social system within a network marketing business group.

Degree: 2004, University of Wisconsin – Stout

URL: http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf ; http://digital.library.wisc.edu/1793/41177

Subjects/Keywords: Multilevel marketing

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APA (6^th Edition):

Blasko, C. D. (2004). Developing a high performing social system within a network marketing business group. (Thesis). University of Wisconsin – Stout. Retrieved from http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf ; http://digital.library.wisc.edu/1793/41177

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Blasko, Christopher D. “Developing a high performing social system within a network marketing business group.” 2004. Thesis, University of Wisconsin – Stout. Accessed February 27, 2021. http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf ; http://digital.library.wisc.edu/1793/41177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Blasko, Christopher D. “Developing a high performing social system within a network marketing business group.” 2004. Web. 27 Feb 2021.

Vancouver:

Blasko CD. Developing a high performing social system within a network marketing business group. [Internet] [Thesis]. University of Wisconsin – Stout; 2004. [cited 2021 Feb 27]. Available from: http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf ; http://digital.library.wisc.edu/1793/41177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Blasko CD. Developing a high performing social system within a network marketing business group. [Thesis]. University of Wisconsin – Stout; 2004. Available from: http://www.uwstout.edu/lib/thesis/2004/2004blaskoc.pdf ; http://digital.library.wisc.edu/1793/41177

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Houston

14. Nordan, Alec. The Economy and Workplace Safety: Evidence from the Macro-Level.

Degree: MA, Psychology, Industrial and Organizational, 2017, University of Houston

URL: http://hdl.handle.net/10657/4813

► Despite industry efforts to improve workplace safety, every year within the United States there remain over three million occupational injuries that occur on the job.… (more)

Subjects/Keywords: Economic stress; Multilevel modeling

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APA (6^th Edition):

Nordan, A. (2017). The Economy and Workplace Safety: Evidence from the Macro-Level. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4813

Chicago Manual of Style (16^th Edition):

Nordan, Alec. “The Economy and Workplace Safety: Evidence from the Macro-Level.” 2017. Masters Thesis, University of Houston. Accessed February 27, 2021. http://hdl.handle.net/10657/4813.

MLA Handbook (7^th Edition):

Nordan, Alec. “The Economy and Workplace Safety: Evidence from the Macro-Level.” 2017. Web. 27 Feb 2021.

Vancouver:

Nordan A. The Economy and Workplace Safety: Evidence from the Macro-Level. [Internet] [Masters thesis]. University of Houston; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10657/4813.

Council of Science Editors:

Nordan A. The Economy and Workplace Safety: Evidence from the Macro-Level. [Masters Thesis]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4813

Delft University of Technology

15. Keel, Oliver (author). Modular Multilevel Converter: Introduction of a low level communication bus for distributed control.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:db4a225a-7269-49f4-82f6-95a5fe38f506

►

The transportation industry is causing 14% of the worldwide greenhouse gas emission. Therefore, the United Nation concluded with the Paris climate agreement to reduce and… (more)

▼

The transportation industry is causing 14% of the worldwide greenhouse gas emission. Therefore, the United Nation concluded with the Paris climate agreement to reduce and limit their emissions to keep the global average temperature increase below 2 degrees Celsius. Based on the agreement the European union introduced new regulations to limit the average fleet emission of car companies. In this push towards lowering emission the companies introduced their first generations of electric cars. To further improve the efficiency of the electric drive train new multilevel topologies were introduced. One of the topologies is called modular multilevel converter (MMC) introduced by R. Marquardt and A. Llesnicar in 2003. This new topology main advantage are its modularity and the option to use low voltage component. However, no company industrialized the MMC for drive train application. The reason therefore are the extensive control architecture, hardware and software wise. This thesis investigated possible ways to reduce the wiring and complexity by introducing a low level communication bus together with distributing the control to remove the centralized architecture. Therefore, the different possible low level communication bus were analysed and compared. The different bus protocols were compared based on speed and time to send the same amount of information to control a MMC. It was concluded that the serial peripheral interface bus (SPI) shows the highest capability for the proposed single phase 5 level converter set-up. Therefore, an experimental system was built to validate the performance. The system itself was designed with the goal to use low cost and low voltage component. The validation of the experimental set-up showed the stable operation of the system with an open loop control. Thereby it proofs the possibility to integrate and control the MMC with a low level communication bus. The results can be used as a baseline to further research on integrating theMMC and make it viable for drive train applications.

Sustainable Energy Technology

Advisors/Committee Members: Ferreira, Bram (mentor), van Swaaij, Rene (graduation committee), Qin, Zian (graduation committee), Gagic, Mladen (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Modular multilevel converter; Communication; Drivetrain

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APA (6^th Edition):

Keel, O. (. (2018). Modular Multilevel Converter: Introduction of a low level communication bus for distributed control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:db4a225a-7269-49f4-82f6-95a5fe38f506

Chicago Manual of Style (16^th Edition):

Keel, Oliver (author). “Modular Multilevel Converter: Introduction of a low level communication bus for distributed control.” 2018. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:db4a225a-7269-49f4-82f6-95a5fe38f506.

MLA Handbook (7^th Edition):

Keel, Oliver (author). “Modular Multilevel Converter: Introduction of a low level communication bus for distributed control.” 2018. Web. 27 Feb 2021.

Vancouver:

Keel O(. Modular Multilevel Converter: Introduction of a low level communication bus for distributed control. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:db4a225a-7269-49f4-82f6-95a5fe38f506.

Council of Science Editors:

Keel O(. Modular Multilevel Converter: Introduction of a low level communication bus for distributed control. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:db4a225a-7269-49f4-82f6-95a5fe38f506

University of Illinois – Urbana-Champaign

16. Chung, Wonjoon. Antecedents of perceived dyadic conflict: a multilevel perspective.

Degree: PhD, Human Res & Industrial Rels, 2017, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/98243

► Past conflict research on teams provides a wealth of conceptual and empirical insight into various aspects of conflict (e.g., when and how different types of… (more)

▼ Past conflict research on teams provides a wealth of conceptual and empirical insight into various aspects of conflict (e.g., when and how different types of conflict affect individual, team, and organizational outcomes). Nevertheless, conflict research thus far has been limited in two key respects. First, we know little about what drives conflict. There has been relatively little empirical research that investigates antecedents of conflict though they have been acknowledged as important. Second, conflict in organizations at the dyad-level has also received insufficient academic attention until recently. In organizational behavior research, conflict is usually conceptualized as a collective experience shared by all team members, and measured accordingly, allowing individual responses to be aggregated to a team level. However, in many cases conflict occurs between two people, and these interpersonal relationships are often not captured in the traditional psychometric approach. To address these limitations, this dissertation focuses on perceived dyadic conflict—individuals’ specific conflict experiences within a team. It also proposes a multi-level model of antecedents of dyadic conflict. Specifically, I argue that understanding perceived dyadic conflict is fundamental to understanding intragroup conflict, based on the observation that all group conflict can be broken down into dyadic interactions among fellow team members. I also argue that dyadic conflict is a function of individual, dyad, and team factors. I developed a study framework for understanding perceived dyadic conflict that considers individuals’ personalities, the extent to which they communicate about work matters and socialize with other team members, and their teams’ levels of psychological safety. The data for this dissertation were collected at a multidisciplinary state research institution located in the Midwest as part of a larger project. These data provide a unique opportunity to examine perceived dyadic conflict in a team setting. Results of the data analysis provide evidence for the claim that individuals’ perceptions of conflict with a fellow team members are affected by individual, interpersonal, and contextual factors. Individuals high in agreeableness are less likely to perceive and experience both task and relationship conflict in dyadic relationships, while individuals high in conscientiousness are more likely to experience both dyadic task and dyadic relationship conflict. Similarly, individuals high in extraversion are more likely to perceive and experience dyadic conflict (for both task and relationship conflict). Interestingly, individuals high in neuroticism are more likely to perceive dyadic task conflict unlike my expectation. Moreover, dyads perceive and experience more dyadic task conflict when two dyad members differ in extraversion. Dyads that have work-related communication report more dyadic task conflict. Teams’ psychological safety climate was found to be a driving factor that increases team members’ perceptions of task… Advisors/Committee Members: Avgar, Ariel (advisor), Avgar, Ariel (Committee Chair), Kramer, Amit (committee member), Rupp, Deborah (committee member), Neuman, Eric (committee member).

Subjects/Keywords: Dyadic conflict; Antecedents; Multilevel

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chung, W. (2017). Antecedents of perceived dyadic conflict: a multilevel perspective. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98243

Chicago Manual of Style (16^th Edition):

Chung, Wonjoon. “Antecedents of perceived dyadic conflict: a multilevel perspective.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. http://hdl.handle.net/2142/98243.

MLA Handbook (7^th Edition):

Chung, Wonjoon. “Antecedents of perceived dyadic conflict: a multilevel perspective.” 2017. Web. 27 Feb 2021.

Vancouver:

Chung W. Antecedents of perceived dyadic conflict: a multilevel perspective. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2142/98243.

Council of Science Editors:

Chung W. Antecedents of perceived dyadic conflict: a multilevel perspective. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98243

University of Waterloo

17. Ahmed, Muhamad Rashid. An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data.

Degree: 2011, University of Waterloo

URL: http://hdl.handle.net/10012/5813

► Hierarchical models are applicable to modeling data from complex surveys or longitudinal data when a clustered or multistage sample design is employed. The focus of… (more)

▼ Hierarchical models are applicable to modeling data from complex surveys or longitudinal data when a clustered or multistage sample design is employed. The focus of this thesis is to investigate inference for discrete hierarchical models in the presence of missing data. This thesis is divided into two parts: in the first part, methods are developed to analyze the discrete and ordinal response data from hierarchical longitudinal studies. Several approximation methods have been developed to estimate the parameters for the fixed and random effects in the context of generalized linear models. The thesis focuses on two likelihood-based estimation procedures, the pseudo likelihood (PL) method and the adaptive Gaussian quadrature (AGQ) method. The simulation results suggest that AGQ is preferable to PL when the goal is to estimate the variance of the random intercept in a complex hierarchical model. AGQ provides smaller biases for the estimate of the variance of the random intercept. Furthermore, it permits greater flexibility in accommodating user-defined likelihood functions. In the second part, simulated data are used to develop a method for modeling longitudinal binary data when non-response depends on unobserved responses. This simulation study modeled three-level discrete hierarchical data with 30% and 40% missing data using a missing not at random (MNAR) missing-data mechanism. It focused on a monotone missing data-pattern. The imputation methods used in this thesis are: complete case analysis (CCA), last observation carried forward (LOCF), available case missing value (ACMVPM) restriction, complete case missing value (CCMVPM) restriction, neighboring case missing value (NCMVPM) restriction, selection model with predictive mean matching method (SMPM), and Bayesian pattern mixture model. All three restriction methods and the selection model used the predictive mean matching method to impute missing data. Multiple imputation is used to impute the missing values. These m imputed values for each missing data produce m complete datasets. Each dataset is analyzed and the parameters are estimated. The results from the m analyses are then combined using the method of Rubin(1987), and inferences are made from these results. Our results suggest that restriction methods provide results that are superior to those of other methods. The selection model provides smaller biases than the LOCF methods but as the proportion of missing data increases the selection model is not better than LOCF. Among the three restriction methods the ACMVPM method performs best. The proposed method provides an alternative to standard selection and pattern-mixture modeling frameworks when data are not missing at random. This method is applied to data from the third Waterloo Smoking Project, a seven-year smoking prevention study having substantial non-response due to loss-to-follow-up.

Subjects/Keywords: Missing Data; multilevel Model

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APA (6^th Edition):

Ahmed, M. R. (2011). An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5813

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ahmed, Muhamad Rashid. “An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data.” 2011. Thesis, University of Waterloo. Accessed February 27, 2021. http://hdl.handle.net/10012/5813.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ahmed, Muhamad Rashid. “An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data.” 2011. Web. 27 Feb 2021.

Vancouver:

Ahmed MR. An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10012/5813.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmed MR. An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5813

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas

18. Harold, Adam F. Modeling Place Vulnerability of HIV/AIDS in Texas.

Degree: 2011, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc84211/

► This study provides a measurable model of the concept of place vulnerability for HIV/AIDS that incorporates both community and structural level effects using data provided… (more)

Subjects/Keywords: Place vulnerability; GIS; multilevel modeling

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APA (6^th Edition):

Harold, A. F. (2011). Modeling Place Vulnerability of HIV/AIDS in Texas. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84211/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Harold, Adam F. “Modeling Place Vulnerability of HIV/AIDS in Texas.” 2011. Thesis, University of North Texas. Accessed February 27, 2021. https://digital.library.unt.edu/ark:/67531/metadc84211/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Harold, Adam F. “Modeling Place Vulnerability of HIV/AIDS in Texas.” 2011. Web. 27 Feb 2021.

Vancouver:

Harold AF. Modeling Place Vulnerability of HIV/AIDS in Texas. [Internet] [Thesis]. University of North Texas; 2011. [cited 2021 Feb 27]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84211/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Harold AF. Modeling Place Vulnerability of HIV/AIDS in Texas. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84211/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Missouri – Columbia

19. Guerra Peña, Kiero. Motivation change in college students.

Degree: 2011, University of Missouri – Columbia

URL: http://hdl.handle.net/10355/14601

► [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This study investigates the change of motivation of undergraduate students across an academic semester. Stepwise… (more)

Subjects/Keywords: undergraduate students; motivation; multilevel modeling

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APA (6^th Edition):

Guerra Peña, K. (2011). Motivation change in college students. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guerra Peña, Kiero. “Motivation change in college students.” 2011. Thesis, University of Missouri – Columbia. Accessed February 27, 2021. http://hdl.handle.net/10355/14601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guerra Peña, Kiero. “Motivation change in college students.” 2011. Web. 27 Feb 2021.

Vancouver:

Guerra Peña K. Motivation change in college students. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10355/14601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guerra Peña K. Motivation change in college students. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

20. Chang, Wanchen. Sufficient sample sizes for the multivariate multilevel regression model.

Degree: PhD, Educational Psychology, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/31009

► The three-level multivariate multilevel model (MVMM) is a multivariate extension of the conventional univariate two-level hierarchical linear model (HLM) and is used for estimating and… (more)

Subjects/Keywords: Multilevel modeling; Sample size

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APA (6^th Edition):

Chang, W. (2015). Sufficient sample sizes for the multivariate multilevel regression model. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31009

Chicago Manual of Style (16^th Edition):

Chang, Wanchen. “Sufficient sample sizes for the multivariate multilevel regression model.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/31009.

MLA Handbook (7^th Edition):

Chang, Wanchen. “Sufficient sample sizes for the multivariate multilevel regression model.” 2015. Web. 27 Feb 2021.

Vancouver:

Chang W. Sufficient sample sizes for the multivariate multilevel regression model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/31009.

Council of Science Editors:

Chang W. Sufficient sample sizes for the multivariate multilevel regression model. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31009

University of Texas – Austin

21. Leroux, Audrey Josée. Estimating a three-level latent variable regression model with cross-classified multiple membership data.

Degree: PhD, Educational Psychology, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/26929

► The current study proposed a new model, termed the cross-classified multiple membership latent variable regression (CCMM-LVR) model, to be utilized for multiple membership data structures… (more)

▼ The current study proposed a new model, termed the cross-classified multiple membership latent variable regression (CCMM-LVR) model, to be utilized for multiple membership data structures (for example, in the presence of student mobility across schools) that provides an extension to the three-level latent variable regression model (HM3-LVR). The HM3-LVR model is beneficial for testing more flexible, directional hypotheses about growth trajectory parameters and handles pure clustering of participants within higher-level units. However, the HM3-LVR model involves the assumption that students remain in the same cluster (school) throughout the duration of the time period of interest. The CCMM-LVR model, on the other hand, appropriately models the participants’ changing clusters over time. The first purpose of this study was to demonstrate use and interpretation of the CCMM-LVR model and its parameters with a large-scale longitudinal dataset that had a multiple membership data structure (i.e., student mobility). The impact of ignoring mobility in the real data was investigated by comparing parameter estimates, standard error estimates, and model fit indices for the two estimating models (CCMM-LVR and HM3-LVR). The second purpose of the dissertation was to conduct a simulation study to try to understand the source of potential differences between the two estimating models and find out which model’s estimates were closer to the truth given the conditions investigated. The manipulated conditions in the simulation study included the mobility rate, number of clustering units, number of individuals (i.e., students) per cluster (here, school), and number of measurement occasions per individual. The outcomes investigated in the simulation study included relative parameter bias, relative standard error bias, root mean square error, and coverage rates of the 95% credible intervals. Substantial bias was found across conditions for both models, but the CCMM-LVR model resulted in the least amount of relative parameter bias and more efficient estimates of the parameters, especially for larger numbers of clustering units. The results of the real data and simulation studies are discussed, along with the implications for applied researchers for when to consider using the CCMM-LVR model versus the misspecified HM3-LVR model. Advisors/Committee Members: Beretvas, Susan Natasha (advisor).

Subjects/Keywords: Multilevel modeling; Growth curve modeling

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APA (6^th Edition):

Leroux, A. J. (2014). Estimating a three-level latent variable regression model with cross-classified multiple membership data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26929

Chicago Manual of Style (16^th Edition):

Leroux, Audrey Josée. “Estimating a three-level latent variable regression model with cross-classified multiple membership data.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/26929.

MLA Handbook (7^th Edition):

Leroux, Audrey Josée. “Estimating a three-level latent variable regression model with cross-classified multiple membership data.” 2014. Web. 27 Feb 2021.

Vancouver:

Leroux AJ. Estimating a three-level latent variable regression model with cross-classified multiple membership data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/26929.

Council of Science Editors:

Leroux AJ. Estimating a three-level latent variable regression model with cross-classified multiple membership data. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26929

Texas A&M University

22. Francis, Xueying Hu. Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses.

Degree: PhD, Educational Psychology, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155505

► The presented journal article formatted dissertation investigated the performance of two models for hierarchical-structured item response data (i.e., Kamata’s MLIRT model, and Multiple Regression IRT… (more)

▼ The presented journal article formatted dissertation investigated the performance of two models for hierarchical-structured item response data (i.e., Kamata’s MLIRT model, and Multiple Regression IRT model) and discussed an application of the multilevel IRT modeling, i.e., a longitudinal multilevel logistic regression model for DIF analyses. Study I compared the estimates of abilities and IRT difficulty parameters of the two models for multilevel-structured IRT data. Bias and RMSE were compared under 8 conditions (2 test lengths, 4 intraclass correlation coefficients, i.e., ICC). Study II sought to learn the causes of DIF, specifically investigating if DIF arises through higher-level clusters, such as different schools, and longitudinal sources, such as multiple time points of test (e.g., beginning v.s. end of year). The accuracies of DIF detection at each level were evaluated under 48 conditions (2 test lengths, 2 percentages of DIF items at school-level, 2 percentages of DIF items of time-level, 3 sample sizes, 2 magnitude of DIF) by power and Type I error rate. Findings of Study I provided guidelines for model selection between MLIRT and MR-IRT model. Results indicated more accurate estimates of school abilities but less accurate estimates of student abilities with MLIRT model. MR-IRT was found more appropriate to use when sample size was small. For both the MLIRT and MR-IRT models, the longer test length resulted in more accurate estimates. ICC played an important role in estimating the school variances of abilities. Study II examined the power and Type I error of DIF detection with the proposed model. Results showed an overall powerful DIF detection. Type I error rates at each level roughly fell into the liberal range of Bradley (1978), 0.025 to 0.075. Consistent with previous study, the magnitude of DIF at each level and the sample was found to be the most important factors for a powerful DIF detection. In general, the time-level detection had higher power than the school-level. Advisors/Committee Members: Thompson, Bruce (advisor), Willson, Victor (advisor), Natesan, Prathiba (committee member), Xiang, Ping (committee member).

Subjects/Keywords: Multilevel IRT; DIF; Longitudinal; Multilevel logistic regression model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Francis, X. H. (2015). Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155505

Chicago Manual of Style (16^th Edition):

Francis, Xueying Hu. “Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses.” 2015. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021. http://hdl.handle.net/1969.1/155505.

MLA Handbook (7^th Edition):

Francis, Xueying Hu. “Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses.” 2015. Web. 27 Feb 2021.

Vancouver:

Francis XH. Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1969.1/155505.

Council of Science Editors:

Francis XH. Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155505

23. Lamb, Jacob. Corrective schemes for internal and external abnormalities in cascaded multilevel inverters.

Degree: PhD, Department of Electrical and Computer Engineering, 2017, Kansas State University

URL: http://hdl.handle.net/2097/35803

► Corrective schemes for facilitating continued operation of dc-ac converters during internal and external abnormalities are presented in this dissertation. While some of the developed techniques… (more)

▼ Corrective schemes for facilitating continued operation of dc-ac converters during internal and external abnormalities are presented in this dissertation. While some of the developed techniques are suited for any dc-ac converter topology, most of the presented methodologies are designed specifically for cascaded H-bridge (CHB) multilevel converters. While CHB provide increased scalability and efficiency compared to traditional topologies, these converters are more likely to experience internal faults due to the additional components required. Realizing the full potential of CHB converters requires fault tolerant techniques, such as those demonstrated in this dissertation. Adaptive sinusoidal pulse width modulation (ASPWM) is introduced in this dissertation as a method which enables CHB to directly utilize time-variant dc sources, increasing CHB flexibility when compared to traditional pulse width modulation (PWM) methods which require dc sources with equal magnitudes or with magnitudes existing in specific ratios. Two alternative algorithms are presented to enable ASPWM implementation, providing a trade off between system performance and required sensor circuitry. This dissertation also introduces a load independent analytical approach for identifying discordant operating points, i.e. operating points where some cells in an asymmetric CHB leg regenerate power while the overall leg delivers power, or vice-versa. Identification of these points is essential due to the deleterious effects which can result from extended discordant operation, for instance overcharging of batteries leading to lifespan degradation or even catastrophic failures such as fires or explosions. Additionally, a method for rapidly identifying, isolating, and verifying internal IGBT open-circuit and gate-driver faults is presented in this dissertation to address the increased probability of switch failures occurring within CHB. The proposed approach enables converter operation to continue in the event of gate-driver or open-circuit faults, but avoids unnecessary converter reconfiguration due to gate-misfiring faults. For a CHB leg with M cells, the proposed technique identifies and isolates open-circuit switch faults in less than 2M measurement (sampling) cycles, and verification is completed in less than one full fundamental cycle. Furthermore, this dissertation introduces a real-time implementable atypical PWM technique which enables increased dc bus utilization under a wide range of non-ideal operating conditions. While this approach is suitable for a wide range of converters operating under external abnormalities, for instance maximizing dc bus utilization for converters providing auxiliary services such as negative-sequence compensation, this approach also facilitates operation of CHB with faulty cells. The proposed method can be used with any control technique and any carrier-based PWM method, enabling its implementation in both symmetric and asymmetric CHB. In addition to these fault tolerant techniques, a novel approach for analyzing the… Advisors/Committee Members: Behrooz Mirafzal.

Subjects/Keywords: Fault Tolerance; Cascaded H-Bridge Multilevel Converters; Multilevel dc-ac Converters

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lamb, J. (2017). Corrective schemes for internal and external abnormalities in cascaded multilevel inverters. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/35803

Chicago Manual of Style (16^th Edition):

Lamb, Jacob. “Corrective schemes for internal and external abnormalities in cascaded multilevel inverters.” 2017. Doctoral Dissertation, Kansas State University. Accessed February 27, 2021. http://hdl.handle.net/2097/35803.

MLA Handbook (7^th Edition):

Lamb, Jacob. “Corrective schemes for internal and external abnormalities in cascaded multilevel inverters.” 2017. Web. 27 Feb 2021.

Vancouver:

Lamb J. Corrective schemes for internal and external abnormalities in cascaded multilevel inverters. [Internet] [Doctoral dissertation]. Kansas State University; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2097/35803.

Council of Science Editors:

Lamb J. Corrective schemes for internal and external abnormalities in cascaded multilevel inverters. [Doctoral Dissertation]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/35803

University of Illinois – Chicago

24. Lee, Seung Eun. Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care.

Degree: 2017, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/21924

► Aim: The aim of the study was to investigate the effects of individual nurse and hospital characteristics and their interactions on patient adverse events and… (more)

▼ Aim: The aim of the study was to investigate the effects of individual nurse and hospital characteristics and their interactions on patient adverse events and quality of care using a multilevel approach. Background: Because nurses constitute the major workforce in healthcare systems, they are key potential contributors to enhancement of patient safety and quality of care. Therefore, researchers have investigated factors affecting nursing care and have suggested that both individual nurse and organizational characteristics can play a significant role in patient safety and quality of care. However, the relative contribution of these characteristics remains unclear. Methods: Based on a multilevel conceptual framework, data for 1,053 Canadian nurses who provided direct care to patients in acute care hospitals were analyzed using multilevel modeling. Results: The study revealed that organizational safety culture was significantly associated with three types of patient adverse events as well as quality of care. Controlling for the effects of nurse and hospital characteristics, nurses in hospitals with stronger safety culture were 64% less likely to report administration of wrong medication, time, or dose; 58% less likely to report patient falls with injury; and 60% less likely to report urinary tract infections than nurses in hospitals with weaker safety culture. In addition, nurses who worked in hospitals with a stronger safety culture were significantly more likely to report higher levels of quality of care in their hospitals. Additional analyses showed that the effects of individual-level baccalaureate education and years of experience on quality of care differed across hospitals. Among hospital characteristics, only hospital-level nurse education interacted with individual-level baccalaureate education. No significant interaction was found between individual-level nurse experience and hospital-level variables. Conclusions: This study makes significant contributions to existing knowledge regarding the positive effect of organizational safety culture on patient adverse events and quality of care. With the current healthcare emphasis on continuous quality improvement, healthcare organizations should strive to improve their safety culture by creating environments where healthcare providers can trust each other, work collaboratively, and share accountability for patient safety and quality of care. Advisors/Committee Members: Vincent, Catherine (advisor), Park, Chang Gi (committee member), Dunn Lopez, Karen (committee member), Scott, Linda D. (committee member), Dahinten, Susan (committee member), Vincent, Catherine (chair).

Subjects/Keywords: multilevel modeling; multilevel analysis; patient adverse events; care quality; safety culture

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APA (6^th Edition):

Lee, S. E. (2017). Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lee, Seung Eun. “Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care.” 2017. Thesis, University of Illinois – Chicago. Accessed February 27, 2021. http://hdl.handle.net/10027/21924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lee, Seung Eun. “Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care.” 2017. Web. 27 Feb 2021.

Vancouver:

Lee SE. Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10027/21924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee SE. Effects of Individual Nurse and Hospital Characteristics on Patient Safety and Quality of Care. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Li, Xin. An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis.

Degree: PhD, Educational Psychology, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-05-2998

► Handling of clustered or nested data structures requires the use of multilevel modeling techniques. One such multilevel modeling technique is multilevel structural equation modeling (MLSEM).… (more)

▼ Handling of clustered or nested data structures requires the use of multilevel modeling techniques. One such multilevel modeling technique is multilevel structural equation modeling (MLSEM). While estimation of indirect effect parameters and standard errors based on the conventional multilevel model (MMM) has been assessed, this is not the case for the use of the MLSEM model for estimating indirect effects. This simulation study was designed to investigate the use of the MLSEM for estimating mediated effects for the “upper-level” mediation model as compared with the MMM. The following conditions were manipulated: number of clusters (G), within-cluster sample size (nj ), intra-class correlation, measurement error in the mediator, and the true value of the mediated effect derived from various patterns of true values for a and b. The generating model entailed an upper-level mediation model for a cluster-randomized trial that included a dichotomous level two independent variable, a cluster-level latent mediator and an individual-level latent dependent variable both with four indicators. Relative parameter and standard error bias, obtained using the MLSEM and the MMM were evaluated and compared. Percent coverage was calculated and compared when PRODCLIN was used to calculate the confidence interval estimates of the ab effect. Finally, Type I error rates for conditions when ab = 0 were assessed and compared. In addition, statistical power for detecting a truly non-zero mediated effect was tallied and compared across models. Results showed that use of the MMM provided inaccurate and misleading parameter and standard error estimates for the estimates of the mediated effect, especially when the true values of a, b and ab were not zero and the measurement error for M was large. However, the MLSEM estimates were also unacceptable in some of the conditions with small values for G and nj. Researchers are encouraged to use the MLSEM for assessing the multilevel mediated effects when either or both paths a and b are expected to be non-zero, if G is at least 40 and nj is also greater than 40. Results are presented and discussed along with implications for applied researchers intending to assess mediated effect with clustered data. Advisors/Committee Members: Beretvas, Susan Natasha (advisor), Borich, Gary (committee member), Dodd, Barbara (committee member), Pituch, Keenan (committee member), Stapleton, Laura (committee member), Whittaker, Tiffany (committee member).

Subjects/Keywords: Multilevel mediation; Multilevel SEM

…19 Resampling based tests of mediation .......... �� 22 Multilevel Mediation Models… …Multilevel Mediation Models under the Multilevel SEM Framework ...........51 Multilevel SEM… …of these datasets usually comprises some kind of hierarchical or multilevel structure… …Handling of these clustered or nested data structures requires the use of multilevel modeling… …1999; 2001). Therefore, 2 appropriate multilevel modeling techniques should be used…

14 more images…

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APA (6^th Edition):

Li, X. (2011). An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-2998

Chicago Manual of Style (16^th Edition):

Li, Xin. “An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/ETD-UT-2011-05-2998.

MLA Handbook (7^th Edition):

Li, Xin. “An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis.” 2011. Web. 27 Feb 2021.

Vancouver:

Li X. An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-2998.

Council of Science Editors:

Li X. An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-2998

UCLA

26. Schweig, Jonathan David. Multilevel Factor Analysis and Student Ratings of Instructional Practice.

Degree: Education, 2014, UCLA

URL: http://www.escholarship.org/uc/item/9t03w2hc

► Student surveys of classroom climate can provide teachers and researchers with valuable information about instruction. These surveys are becoming a critical component in policy efforts… (more)

▼ Student surveys of classroom climate can provide teachers and researchers with valuable information about instruction. These surveys are becoming a critical component in policy efforts to assess and improve teaching. Advocates note that students are natural observers of their classroom environments, have extensive and rich knowledge of their teachers, and that student ratings of teacher practice can be predictive of important outcomes, such as student academic and socio-emotional development. Inferences about a teacher's instructional practice are often based on aggregated student survey responses, and a key step in assessing the appropriate uses of the information collected from student surveys is to understand the dimensions of classroom climate or instructional practice that are discernible when looking at student responses aggregated by classroom. This dissertation proposes a new approach for exploring the dimensionality of aggregated student ratings. This approach also has the potential to provide validity evidence supporting the use of student surveys as measures of instructional practice in both formative and summative evaluation. Specifically, this dissertation applies a non-parametric cluster bootstrap technique to a multilevel covariance structure analysis framework that allows researchers to evaluate and investigate psychometric models when data is collected from students and teachers are the objects of measurement. This approach is extended to applications where teachers are clustered within schools. The cluster bootstrap technique is demonstrated on a realistic dataset to illustrate how the methods may be used to investigate the dimensions of teacher professional practice that are discernible on a state-wide student survey of instructional practice. The results of this dissertation demonstrate that the proposed cluster bootstrap technique can be used in conjunction with maximum likelihood estimation to yield accurate parameter estimates, and that for sufficiently large sample sizes, test statistics and standard errors based on the cluster bootstrap technique will yield valid inferences about the psychometric properties of aggregated survey responses.

Subjects/Keywords: Education; Factor analysis; Multilevel; student surveys

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APA (6^th Edition):

Schweig, J. D. (2014). Multilevel Factor Analysis and Student Ratings of Instructional Practice. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9t03w2hc

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Schweig, Jonathan David. “Multilevel Factor Analysis and Student Ratings of Instructional Practice.” 2014. Thesis, UCLA. Accessed February 27, 2021. http://www.escholarship.org/uc/item/9t03w2hc.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Schweig, Jonathan David. “Multilevel Factor Analysis and Student Ratings of Instructional Practice.” 2014. Web. 27 Feb 2021.

Vancouver:

Schweig JD. Multilevel Factor Analysis and Student Ratings of Instructional Practice. [Internet] [Thesis]. UCLA; 2014. [cited 2021 Feb 27]. Available from: http://www.escholarship.org/uc/item/9t03w2hc.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schweig JD. Multilevel Factor Analysis and Student Ratings of Instructional Practice. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/9t03w2hc

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Mississippi State University

27. Nesbit, Benjamin Edward. Multilevel design optimization and the effect of epistemic uncertainty.

Degree: MS, Aerospace Engineering, 2014, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10312014-073952/ ;

► This work presents the state of the art in hierarchically decomposed multilevel optimization. This work is expanded with the inclusion of evidence theory with… (more)

Subjects/Keywords: epistemic uncertainty; Evidence theory; Multilevel optimization

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APA (6^th Edition):

Nesbit, B. E. (2014). Multilevel design optimization and the effect of epistemic uncertainty. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10312014-073952/ ;

Chicago Manual of Style (16^th Edition):

Nesbit, Benjamin Edward. “Multilevel design optimization and the effect of epistemic uncertainty.” 2014. Masters Thesis, Mississippi State University. Accessed February 27, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10312014-073952/ ;.

MLA Handbook (7^th Edition):

Nesbit, Benjamin Edward. “Multilevel design optimization and the effect of epistemic uncertainty.” 2014. Web. 27 Feb 2021.

Vancouver:

Nesbit BE. Multilevel design optimization and the effect of epistemic uncertainty. [Internet] [Masters thesis]. Mississippi State University; 2014. [cited 2021 Feb 27]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10312014-073952/ ;.

Council of Science Editors:

Nesbit BE. Multilevel design optimization and the effect of epistemic uncertainty. [Masters Thesis]. Mississippi State University; 2014. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10312014-073952/ ;

Mississippi State University

28. DorMohammadi, Saber. Multilevel design optimization under uncertainty with application to product-material systems.

Degree: PhD, Computational Engineering, 2013, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11012013-160844/ ;

► The main objective of this research is to develop a computational design tool for multilevel optimization of product-material systems under uncertainty. To accomplish this… (more)

▼ The main objective of this research is to develop a computational design tool for multilevel optimization of product-material systems under uncertainty. To accomplish this goal, an exponential penalty function (EPF) formulation based on method of multipliers is developed for solving multilevel optimization problems within the framework of Analytical Target Cascading (ATC). The original all-at-once constrained optimization problem is decomposed into a hierarchical system with consistency constraints enforcing the target-response coupling in the connected elements. The objective function is combined with the consistency constraints in each element to formulate an augmented Lagrangian with EPF. The EPF formulation is implemented using double-loop (EPF I) and single-loop (EPF II) coordination strategies and two penalty-parameter-updating schemes. The computational characteristics of the proposed approaches are investigated using different nonlinear convex and non-convex optimization problems. An efficient reliability-based design optimization method, Single Loop Single Vector (SLSV), is integrated with Augmented Lagrangian (AL) formulation of ATC for solution of hierarchical multilevel optimization problems under uncertainty. In the proposed SLSV+AL approach, the uncertainties are propagated by matching the required moments of connecting responses/targets and linking variables present in the decomposed system. The accuracy and computational efficiency of SLSV+AL are demonstrated through the solution of different benchmark problems and comparison of results with those from other optimization methods. Finally, the developed computational design optimization tool is used for design optimization of hybrid multiscale composite sandwich plates with/without uncertainty. Both carbon nanofiber (CNF) waviness and CNF-matrix interphase properties are included in the model. By decomposing the sandwich plate, structural and material designs are combined and treated as a multilevel optimization problem. The application problem considers the minimum-weight design of an in-plane loaded sandwich plate with a honeycomb core and laminated composite face sheets that are reinforced by both conventional continuous fibers and CNF-enhanced polymer matrix. Besides global buckling, shear crimping, intracell buckling, and face sheet wrinkling are also treated as design constraints. Advisors/Committee Members: Christopher D. Eamon (committee member), Tomasz Haupt (committee member), Douglas J. Bammann (committee member), Seth F. Oppenheimer (committee member).

Subjects/Keywords: Multilevel Design Optimization; Product-Material S

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APA (6^th Edition):

DorMohammadi, S. (2013). Multilevel design optimization under uncertainty with application to product-material systems. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-11012013-160844/ ;

Chicago Manual of Style (16^th Edition):

DorMohammadi, Saber. “Multilevel design optimization under uncertainty with application to product-material systems.” 2013. Doctoral Dissertation, Mississippi State University. Accessed February 27, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11012013-160844/ ;.

MLA Handbook (7^th Edition):

DorMohammadi, Saber. “Multilevel design optimization under uncertainty with application to product-material systems.” 2013. Web. 27 Feb 2021.

Vancouver:

DorMohammadi S. Multilevel design optimization under uncertainty with application to product-material systems. [Internet] [Doctoral dissertation]. Mississippi State University; 2013. [cited 2021 Feb 27]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11012013-160844/ ;.

Council of Science Editors:

DorMohammadi S. Multilevel design optimization under uncertainty with application to product-material systems. [Doctoral Dissertation]. Mississippi State University; 2013. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11012013-160844/ ;

Nelson Mandela Metropolitan University

29. Sarpong, Abeam Danso. Tolerance intervals for variance component models using a Bayesian simulation procedure.

Degree: Faculty of Science, 2013, Nelson Mandela Metropolitan University

URL: http://hdl.handle.net/10948/d1021025

► The estimation of variance components serves as an integral part of the evaluation of variation, and is of interest and required in a variety of… (more)

Subjects/Keywords: Bayesian statistical decision theory; Multilevel models (Statistics)

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APA (6^th Edition):

Sarpong, A. D. (2013). Tolerance intervals for variance component models using a Bayesian simulation procedure. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/d1021025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sarpong, Abeam Danso. “Tolerance intervals for variance component models using a Bayesian simulation procedure.” 2013. Thesis, Nelson Mandela Metropolitan University. Accessed February 27, 2021. http://hdl.handle.net/10948/d1021025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sarpong, Abeam Danso. “Tolerance intervals for variance component models using a Bayesian simulation procedure.” 2013. Web. 27 Feb 2021.

Vancouver:

Sarpong AD. Tolerance intervals for variance component models using a Bayesian simulation procedure. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10948/d1021025.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sarpong AD. Tolerance intervals for variance component models using a Bayesian simulation procedure. [Thesis]. Nelson Mandela Metropolitan University; 2013. Available from: http://hdl.handle.net/10948/d1021025

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manchester

30. Carter, Lesley-Anne. Rigorous methods for the analysis, reporting and evaluation of ESM style data.

Degree: 2016, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

► Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life.… (more)

▼ Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life. With measures completed multiple times a day, over several days, this intensive longitudinal data collection method results in multilevel data with observations nested within days, nested within subjects. The aim of this thesis was to investigate the optimal use of multilevel models for ESM in the design, reporting and analysis of ESM data, and apply these models to a study in people with psychosis.A methodological systematic review was conducted to identify design, analysis and statistical reporting practices in current ESM studies. Seventy four studies from 2012 were reviewed, and together with the analysis of a motivating example, four significant areas of interest were identified: power and sample size, missing data, momentary variation and predicting momentary change. Appropriate multilevel methods were sought for each of these areas, and were evaluated in the three-level context of ESM.Missing data was found to be both underreported and rarely considered when choosing analysis methods in practice. This work has introduced a more detailed understanding of nonresponse in ESM studies and has discussed appropriate statistical methods in the presence of missing data. This thesis has extended two-level statistical methodology for data analysis to accommodate the three-level structure of ESM. Novel applications of time trends have been developed, were time can be measured at two separate levels. The suitability of predicting momentary change in ESM data has been questioned; it is argued that the first-difference and joint modelling methods that are claimed in the literature to remove bias possibly induce more in this context. Finally, Monte Carlo simulations were shown to be a flexible option for estimating empirical power under varying sample sizes at levels 3, 2 and 1, with recommendations made for conservative power estimates when a priori parameter estimates are unknown. In summary, this work demonstrates how multilevel models can be used to examine the rich data structure of ESM and fully utilize the variation in measures captured at all levels. Advisors/Committee Members: EMSLEY, RICHARD RA, Roberts, Christopher, Emsley, Richard.

Subjects/Keywords: Experience sampling; Multilevel; Intensive longitudinal data

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APA (6^th Edition):

Carter, L. (2016). Rigorous methods for the analysis, reporting and evaluation of ESM style data. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

Chicago Manual of Style (16^th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Doctoral Dissertation, University of Manchester. Accessed February 27, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

MLA Handbook (7^th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Web. 27 Feb 2021.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Feb 27]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

Council of Science Editors:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

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