subject:(factor analysis)

Clemson University

1. Robertson, Stephen. Bifactor Models and Factor Collapse: A Monte Carlo Study.

Degree: PhD, Psychology, 2019, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/2366

► Though available for over 80 years, bifactor models have recently experienced a resurgence in the psychological and social sciences literature (Reise, 2012). Bifactor models… (more)

▼ Though available for over 80 years, bifactor models have recently experienced a resurgence in the psychological and social sciences literature (Reise, 2012). Bifactor models provide an attractive alternative to modeling multidimensional data compared to other approaches (e.g., correlated factors model, second-order factor model). Unlike alternative models, bifactor modeling can effectively model variance that is common between all items and variance that is specific to particular subscales (i.e., specific factors) within a measure. Given its unique benefits, researchers have applied bifactor models to previously validated multidimensional inventories. Researchers have found that when using bifactor modeling on some established scales (e.g., Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Chen, West, & Sousa, 2006), that particular subscales no longer have significant loadings. This phenomenon is referred to as factor collapse (Mansolf & Reise, 2016) and occurs when a substantial amount of variance is shifted to the general factor from one or more specific factors. As bifactor models are applied to more established scales, researchers will likely continue to discover more subscales that collapse onto the general factor and that these subscales contain items that only measure the general factor. Manipulating eight independent variables in a 3 (sample size) × 3 (number of variables per specific factor) × 3 (number of specific factors) × 3 (number of collapsed factors) × 2 (presence or absence of cross-loadings) × 3 (size of specific factor loadings) × 3 (size of general factor loadings) × 2 (presence or absence of pure indicators) factorial design with 100 samples per condition, a Monte Carlo simulation was conducted in R to better understand when factor collapse occurs, if it can it be accurately detected using currently available rotation methods, and the theoretical and practical implications this has for psychological measurement. Results indicated that one rotation, the Schmid-Leiman with iterative target rotation, performed better than other rotations. Implications regarding the results of the simulation and nuances involved in the use of bifactor models are discussed. Advisors/Committee Members: Patrick J Rosopa, Cindy Pury, Job Chen, Ryan Gagnon.

Subjects/Keywords: Bifactor; Exploratory factor analysis; Factor collapse

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APA (6^th Edition):

Robertson, S. (2019). Bifactor Models and Factor Collapse: A Monte Carlo Study. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2366

Chicago Manual of Style (16^th Edition):

Robertson, Stephen. “Bifactor Models and Factor Collapse: A Monte Carlo Study.” 2019. Doctoral Dissertation, Clemson University. Accessed February 25, 2020. https://tigerprints.clemson.edu/all_dissertations/2366.

MLA Handbook (7^th Edition):

Robertson, Stephen. “Bifactor Models and Factor Collapse: A Monte Carlo Study.” 2019. Web. 25 Feb 2020.

Vancouver:

Robertson S. Bifactor Models and Factor Collapse: A Monte Carlo Study. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2020 Feb 25]. Available from: https://tigerprints.clemson.edu/all_dissertations/2366.

Council of Science Editors:

Robertson S. Bifactor Models and Factor Collapse: A Monte Carlo Study. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2366

University of Hawaii – Manoa

2. Brennan, Jerry Michael. An experiment to test the capacity of confactor rotation to give unique factor analysis solutions.

Degree: PhD, 2009, University of Hawaii – Manoa

URL: http://hdl.handle.net/10125/10169

►

Photocopy of typescript.

Bibliography: leaves 166-168.

Microfiche.

x, 168 leaves

! brief history of factor analysis is, given. The rotational resolution problem is presented and… (more)

Subjects/Keywords: Factor analysis; Psychology – Mathematical models

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APA (6^th Edition):

Brennan, J. M. (2009). An experiment to test the capacity of confactor rotation to give unique factor analysis solutions. (Doctoral Dissertation). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/10169

Chicago Manual of Style (16^th Edition):

Brennan, Jerry Michael. “An experiment to test the capacity of confactor rotation to give unique factor analysis solutions.” 2009. Doctoral Dissertation, University of Hawaii – Manoa. Accessed February 25, 2020. http://hdl.handle.net/10125/10169.

MLA Handbook (7^th Edition):

Brennan, Jerry Michael. “An experiment to test the capacity of confactor rotation to give unique factor analysis solutions.” 2009. Web. 25 Feb 2020.

Vancouver:

Brennan JM. An experiment to test the capacity of confactor rotation to give unique factor analysis solutions. [Internet] [Doctoral dissertation]. University of Hawaii – Manoa; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10125/10169.

Council of Science Editors:

Brennan JM. An experiment to test the capacity of confactor rotation to give unique factor analysis solutions. [Doctoral Dissertation]. University of Hawaii – Manoa; 2009. Available from: http://hdl.handle.net/10125/10169

University of Hong Kong

3. 關志威; Kwan, Chi-wai. Influential observations in factor analysis.

Degree: PhD, 1998, University of Hong Kong

URL: Kwan, C. [關志威]. (1998). Influential observations in factor analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2980389 ; http://dx.doi.org/10.5353/th_b2980389 ; http://hdl.handle.net/10722/32202

toc

abstract

published_or_final_version

Statistics

Doctoral

Doctor of Philosophy

Subjects/Keywords: Factor analysis.

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APA (6^th Edition):

關志威; Kwan, C. (1998). Influential observations in factor analysis. (Doctoral Dissertation). University of Hong Kong. Retrieved from Kwan, C. [關志威]. (1998). Influential observations in factor analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2980389 ; http://dx.doi.org/10.5353/th_b2980389 ; http://hdl.handle.net/10722/32202

Chicago Manual of Style (16^th Edition):

關志威; Kwan, Chi-wai. “Influential observations in factor analysis.” 1998. Doctoral Dissertation, University of Hong Kong. Accessed February 25, 2020. Kwan, C. [關志威]. (1998). Influential observations in factor analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2980389 ; http://dx.doi.org/10.5353/th_b2980389 ; http://hdl.handle.net/10722/32202.

MLA Handbook (7^th Edition):

關志威; Kwan, Chi-wai. “Influential observations in factor analysis.” 1998. Web. 25 Feb 2020.

Vancouver:

關志威; Kwan C. Influential observations in factor analysis. [Internet] [Doctoral dissertation]. University of Hong Kong; 1998. [cited 2020 Feb 25]. Available from: Kwan, C. [關志威]. (1998). Influential observations in factor analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2980389 ; http://dx.doi.org/10.5353/th_b2980389 ; http://hdl.handle.net/10722/32202.

Council of Science Editors:

關志威; Kwan C. Influential observations in factor analysis. [Doctoral Dissertation]. University of Hong Kong; 1998. Available from: Kwan, C. [關志威]. (1998). Influential observations in factor analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2980389 ; http://dx.doi.org/10.5353/th_b2980389 ; http://hdl.handle.net/10722/32202

University of Hong Kong

4. Wu, Ho-chun. New algorithms in factor analysis : applications, model selection and findings in bioinformatics.

Degree: PhD, 2013, University of Hong Kong

URL: Wu, H. [胡皓竣]. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5153672 ; http://dx.doi.org/10.5353/th_b5153672 ; http://hdl.handle.net/10722/205839

► Advancements in microelectronic devices and computational and storage technologies enable the collection of high volume, high speed and high dimension data in many applications. Due… (more)

▼ Advancements in microelectronic devices and computational and storage technologies enable the collection of high volume, high speed and high dimension data in many applications. Due to the high dimensionality of these measurements, exact dependence of the observations on the various parameters or variables may not be exactly known. Factor analysis (FA) is a useful multivariate technique to exploit the redundancies among observations and reveal their dependence to some latent variables called factors. Some major issues of the conventional FA are high arithmetic complexity for real-time online implementation, assumption of static system parameters, the demand of interval forecasting, robustness against outlying observations and model selection in problems with high dimension but low number of samples (HDLS). This thesis addresses these issues and proposes new extensions to the existing FA algorithms. First, in order to reduce the arithmetic complexity, we propose new recursive FA algorithms (RFA) that recursively compute only the dominant Principal Components (PCs) and eigenvalues in the major subspace tracked by efficient subspace tracking algorithms. Specifically, two new approaches are proposed for updating the PCs and eigenvalues in the classical fault detection problem with different tradeoff between accuracy and arithmetic complexity, namely rank-1 modification and deflation. They significantly reduce the online arithmetic complexity and allow the adaption to time-varying system parameters. Second, we extend the RFA algorithm to forecasting of time series and propose a new recursive dynamic factor analysis (RDFA) algorithm for electricity price forecasting. While the PCs are recursively tracked by the subspace algorithm, a random walk or a state dynamical model can be incorporated to describe the latest state of the time-varying auto-regressive (AR) model built from the factors. This formulation can be solved by the celebrated Kalman filter (KF), which in turn allows future values to be forecasted with estimated confidence intervals. Third, we propose new robust covariance and outlier detection criteria to improve the robustness of the proposed RFA and RDFA algorithms against outlying observations based on the concept of robust M-estimation. Experimental results show that the proposed methods can effectively suppress the adverse contributions of the outliers on the factors and PCs. Finally, in order to improve the consistency of model selection and facilitate the estimation of p-values in HDLS problems, we propose a new automatic model selection method based on ridge partial least squares and recursive feature elimination. Furthermore, a novel performance criterion is proposed for ranking variables according to their consistency of being chosen in different perturbation of the samples. Using this criterion, the associated p-values can be estimated under the HDLS setting. Experimental results using real gene cancer microarray datasets show that improved prognosis can be obtained by the proposed…

Subjects/Keywords: Factor analysis; Bioinformatics - Mathematical models

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APA (6^th Edition):

Wu, H. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Doctoral Dissertation). University of Hong Kong. Retrieved from Wu, H. [胡皓竣]. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5153672 ; http://dx.doi.org/10.5353/th_b5153672 ; http://hdl.handle.net/10722/205839

Chicago Manual of Style (16^th Edition):

Wu, Ho-chun. “New algorithms in factor analysis : applications, model selection and findings in bioinformatics.” 2013. Doctoral Dissertation, University of Hong Kong. Accessed February 25, 2020. Wu, H. [胡皓竣]. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5153672 ; http://dx.doi.org/10.5353/th_b5153672 ; http://hdl.handle.net/10722/205839.

MLA Handbook (7^th Edition):

Wu, Ho-chun. “New algorithms in factor analysis : applications, model selection and findings in bioinformatics.” 2013. Web. 25 Feb 2020.

Vancouver:

Wu H. New algorithms in factor analysis : applications, model selection and findings in bioinformatics. [Internet] [Doctoral dissertation]. University of Hong Kong; 2013. [cited 2020 Feb 25]. Available from: Wu, H. [胡皓竣]. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5153672 ; http://dx.doi.org/10.5353/th_b5153672 ; http://hdl.handle.net/10722/205839.

Council of Science Editors:

Wu H. New algorithms in factor analysis : applications, model selection and findings in bioinformatics. [Doctoral Dissertation]. University of Hong Kong; 2013. Available from: Wu, H. [胡皓竣]. (2013). New algorithms in factor analysis : applications, model selection and findings in bioinformatics. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5153672 ; http://dx.doi.org/10.5353/th_b5153672 ; http://hdl.handle.net/10722/205839

University of Tasmania

5. Chequer, S. Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models.

Degree: 2014, University of Tasmania

URL: https://eprints.utas.edu.au/21726/1/Whole-Chequer-thesis.pdf

► The Implicit Association Test (IAT) is the most widely used method for assessing implicit bias and prejudice. By avoiding the need for introspection, the IAT… (more)

Subjects/Keywords: Implicit Attitude Confirmatory Factor Analysis

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APA (6^th Edition):

Chequer, S. (2014). Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/21726/1/Whole-Chequer-thesis.pdf

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):

Chequer, S. “Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models.” 2014. Thesis, University of Tasmania. Accessed February 25, 2020. https://eprints.utas.edu.au/21726/1/Whole-Chequer-thesis.pdf.

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

MLA Handbook (7^th Edition):

Chequer, S. “Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models.” 2014. Web. 25 Feb 2020.

Vancouver:

Chequer S. Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models. [Internet] [Thesis]. University of Tasmania; 2014. [cited 2020 Feb 25]. Available from: https://eprints.utas.edu.au/21726/1/Whole-Chequer-thesis.pdf.

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

Council of Science Editors:

Chequer S. Evaluating the construct validity of Implicit Association Tests using Confirmatory Factor Analytic Models. [Thesis]. University of Tasmania; 2014. Available from: https://eprints.utas.edu.au/21726/1/Whole-Chequer-thesis.pdf

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

University of Kansas

6. Poppert, Katrina Marie. A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns.

Degree: MA, Clinical Child Psychology, 2015, University of Kansas

URL: http://hdl.handle.net/1808/19546

► Sleep is essential for learning, memory, neurobehavioral functioning, and emotion regulation. The importance of sleep in children has led to the creation of numerous sleep… (more)

▼ Sleep is essential for learning, memory, neurobehavioral functioning, and emotion regulation. The importance of sleep in children has led to the creation of numerous sleep assessment instruments. However, there is a dearth of validated self-report measures. In an attempt to fill the gap, the Children’s Report of Sleep Patterns (CRSP) was developed for children ages 8-12. Despite its apparent strengths, the initial validation of the complete CRSP in this age group reported a number of scales and indices that were not empirically evaluated and only Cronbach alphas were reported. To further explore the psychometric properties of the CRSP in school-aged children, factor analysis is necessary to understand the latent structure, as well as the relationships among the constructs. The purpose of this study was to examine the first-order factor structure of the Sleepiness Scale and the Sleep Disturbances Scales of the CRSP in a sample of preadolescent children. As an exploratory aim, the degree to which the five scales contributed to a higher-order Sleep Problems Total Score was examined. Participants were 3rd-5th grade children recruited from two elementary schools (N = 109). Results of the current study revealed that the hypothesized first-order factor structure is not supported and several modifications are necessary to achieve acceptable model fit. Based on modifications from the first-order model, the Sleep Problems Total Score was derived, achieving high internal consistency. Therefore, it is recommended that the Sleep Problems Total Score be calculated and used in conjunction with other scales obtained from the CRSP. Despite promising findings, researchers and clinicians interested in using the CRSP should continue to assess its validity by exploring the relationship between the measure and objective measures of sleep patterns and behavior. Advisors/Committee Members: Steele, Ric G (advisor), Roberts, Michael C (cmtemember), Cushing, Christopher C (cmtemember).

Subjects/Keywords: Psychology; Children; Factor Analysis; Sleep

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APA (6^th Edition):

Poppert, K. M. (2015). A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/19546

Chicago Manual of Style (16^th Edition):

Poppert, Katrina Marie. “A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns.” 2015. Masters Thesis, University of Kansas. Accessed February 25, 2020. http://hdl.handle.net/1808/19546.

MLA Handbook (7^th Edition):

Poppert, Katrina Marie. “A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns.” 2015. Web. 25 Feb 2020.

Vancouver:

Poppert KM. A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns. [Internet] [Masters thesis]. University of Kansas; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1808/19546.

Council of Science Editors:

Poppert KM. A Confirmatory Factor Analysis of the Children's Report of Sleep Patterns. [Masters Thesis]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19546

The Ohio State University

7. Norris, Megan. Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule.

Degree: PhD, Psychology, 2010, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1281709680

► Autism spectrum disorders (ASDs) are widely studied yet poorly understood. They are characterized by impairments in social and communication skills and the presence of repetitive… (more)

▼ Autism spectrum disorders (ASDs) are widely studied yet poorly understood. They are characterized by impairments in social and communication skills and the presence of repetitive and stereotyped behaviors and/or circumscribed interests (RRBs). Much recent attention has been directed towards elucidating the structure of autistic symptoms. A better understanding of the phenotype can lead to improved diagnoses and clarification of etiology and pathogenesis. Factor analytic studies are one way researchers have pursued this end. Most often, two- or three-factor solutions have been reported. The objective of the current study was to test several competing models of the autism phenotype using the Autism Diagnostic Observation Schedule (ADOS). Participants included individuals with ASDs aged 3-18 years (N = 1,409) from the Autism Genetic Resource Exchange database. ADOS data from 720 participants for Module 1 and 689 participants for Module 3 were used in analyses. Samples were divided into more homogenous subgroups to examine the impact of age and level of functioning on model fit. Confirmatory factor analyses (CFAs) were performed on total samples and subsamples. Four primary models were tested: (a) a one-factor model; (b) a two-factor model (one factor consisting of social/ communication items and the other consisting of RRBs); (c) a three-factor model based on DSM-IV-TR criteria (social, communication, and RRB factors); and (d) a two-factor model based on proposed DSM-V criteria (one factor consisting of social/ communication symptoms and one factor consisting of restricted and repetitive behaviors and language). Additionally, ADI-R RRB items were added to analyses because these symptoms may not be well captured with the ADOS. Bi-factor models were also examined for the DSM-IV analyses in order to examine the possibility that ASD symptoms were best explained by one general ASD factor and three specific factors. Results of the CFAs with Module 1 indicated all models fit reasonably well, with RMSEAs ranging from .056 (DSM-IV model) to .062 (one-factor and two-factor models). RMSEA confidence intervals overlapped, suggesting no model fit significantly better than other models. Generally, fit improved in the analyses with more homogenous subgroups. Addition of ADI-R RRB items resulted in un-interpretable results. Results of the CFAs with Module 3 indicated unacceptable fit for most models, with RMSEAs ranging from .074 (DSM-V) to .083 (one-factor model). RMSEA confidence intervals again overlapped, indicating all models fit similarly. Unlike Module 1 analyses, indices of fit improved when ADI-R RRB items were included in analyses, but there was again little differentiation between models. Fit improved in the analyses with more homogenous subgroups by age, but not level of functioning. Finally, the bi-factor DSM-IV model did not aide interpretation in either module. The lack of differentiation between models in both modules suggests that the structure of ASD symptoms is complex and several research methods will be necessary… Advisors/Committee Members: Lecavalier, Luc (Advisor).

Subjects/Keywords: Psychology; autism; factor analysis

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APA (6^th Edition):

Norris, M. (2010). Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1281709680

Chicago Manual of Style (16^th Edition):

Norris, Megan. “Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule.” 2010. Doctoral Dissertation, The Ohio State University. Accessed February 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281709680.

MLA Handbook (7^th Edition):

Norris, Megan. “Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule.” 2010. Web. 25 Feb 2020.

Vancouver:

Norris M. Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2020 Feb 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1281709680.

Council of Science Editors:

Norris M. Examining the Autism Phenotype: The Structure of Autism Spectrum Disorders as Measured by the Autism Diagnostic Observation Schedule. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1281709680

Penn State University

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

Degree: MS, Educational Psychology, 2014, Penn State University

URL: https://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 (6^th Edition):

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

Chicago Manual of Style (16^th Edition):

Nolan, Katherine A. “Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models.” 2014. Masters Thesis, Penn State University. Accessed February 25, 2020. https://etda.libraries.psu.edu/catalog/21823.

MLA Handbook (7^th Edition):

Nolan, Katherine A. “Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models.” 2014. Web. 25 Feb 2020.

Vancouver:

Nolan KA. Effects of Ignoring Hierarchical Data Structure on Factor Analytic Models. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2020 Feb 25]. Available from: https://etda.libraries.psu.edu/catalog/21823.

Council of Science Editors:

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

McGill University

9. Brewer, Carl G. A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes.

Degree: MS, Department of Mathematics and Statistics., 1986, McGill University

URL: http://digitool.library.mcgill.ca/thesisfile65540.pdf

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Brewer, C. G. (1986). A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes. (Masters Thesis). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile65540.pdf

Chicago Manual of Style (16^th Edition):

Brewer, Carl G. “A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes.” 1986. Masters Thesis, McGill University. Accessed February 25, 2020. http://digitool.library.mcgill.ca/thesisfile65540.pdf.

MLA Handbook (7^th Edition):

Brewer, Carl G. “A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes.” 1986. Web. 25 Feb 2020.

Vancouver:

Brewer CG. A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes. [Internet] [Masters thesis]. McGill University; 1986. [cited 2020 Feb 25]. Available from: http://digitool.library.mcgill.ca/thesisfile65540.pdf.

Council of Science Editors:

Brewer CG. A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes. [Masters Thesis]. McGill University; 1986. Available from: http://digitool.library.mcgill.ca/thesisfile65540.pdf

Virginia Tech

10. Sullivan, Connor Patrick. Development of the Posttraumatic Anger Scale.

Degree: MS, Psychology, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/78047

► Anger is a pervasive problem after individuals experience traumatic stress that heightens the risk for violence, health problems, poor relationships, and poor treatment outcomes. Previous… (more)

Subjects/Keywords: PTSD; anger; factor analysis; psychometrics

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APA (6^th Edition):

Sullivan, C. P. (2015). Development of the Posttraumatic Anger Scale. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78047

Chicago Manual of Style (16^th Edition):

Sullivan, Connor Patrick. “Development of the Posttraumatic Anger Scale.” 2015. Masters Thesis, Virginia Tech. Accessed February 25, 2020. http://hdl.handle.net/10919/78047.

MLA Handbook (7^th Edition):

Sullivan, Connor Patrick. “Development of the Posttraumatic Anger Scale.” 2015. Web. 25 Feb 2020.

Vancouver:

Sullivan CP. Development of the Posttraumatic Anger Scale. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10919/78047.

Council of Science Editors:

Sullivan CP. Development of the Posttraumatic Anger Scale. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78047

Delft University of Technology

11. Nieuwenhuizen, R.P.J. The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:.

Degree: 2011, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:1a6123c8-5dc3-4998-aad0-c3c3b0f37156

► The Innovation Challenge is a joint project of Delft University of Technology and the IBM Benelux Center for Advanced Studies (CAS) with the goal of… (more)

Subjects/Keywords: innovation; IBM; factor analysis

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APA (6^th Edition):

Nieuwenhuizen, R. P. J. (2011). The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1a6123c8-5dc3-4998-aad0-c3c3b0f37156

Chicago Manual of Style (16^th Edition):

Nieuwenhuizen, R P J. “The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:.” 2011. Masters Thesis, Delft University of Technology. Accessed February 25, 2020. http://resolver.tudelft.nl/uuid:1a6123c8-5dc3-4998-aad0-c3c3b0f37156.

MLA Handbook (7^th Edition):

Nieuwenhuizen, R P J. “The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:.” 2011. Web. 25 Feb 2020.

Vancouver:

Nieuwenhuizen RPJ. The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Feb 25]. Available from: http://resolver.tudelft.nl/uuid:1a6123c8-5dc3-4998-aad0-c3c3b0f37156.

Council of Science Editors:

Nieuwenhuizen RPJ. The Innovation Challenge: finalizing a tool for measuring firms’ innovation practices:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:1a6123c8-5dc3-4998-aad0-c3c3b0f37156

University of British Columbia

12. Hellyer, Sydney. Multiple-factor analysis : its purpose and meaning .

Degree: 1950, University of British Columbia

URL: http://hdl.handle.net/2429/41414

► The purpose of the present study was that of presenting the fundamental theorems and techniques of Thurstone's Multiple-Factor Analysis in a manner that would be… (more)

▼ The purpose of the present study was that of presenting the fundamental theorems and techniques of Thurstone's Multiple-Factor Analysis in a manner that would be understandable to the non-mathematically trained student of psychology. The work was introduced by a discussion of Spearman's "Theory of Two Factors" which is so-called since the method analyses each test into a general factor "g" and a specific factor. It was found that such a factorization could be performed if the correlation matrix exhibited hierarchical order. The tetrad difference equation and a standard error formula were next discussed as tests of this order. Finally, mention was made of a few of the problems which investigators have attempted to solve by means of the method. Upon turning attention to the multiple-factor theory, an initial chapter was devoted to the presentation of the relationship between such theory and scientific method in general. This facilitated a discussion of some of the major limitations and values of the technique. It was found that the methods could best be designated as classificatory. Furthermore, it was discovered that factor analysis was not only applicable to a diversity of problems in psychology but also to those of other sciences. Following this more general discussion, consideration was given to the derivation of the fundamental equations. It was proven that if the original scores are converted to standard form the sum of the squares of the factor loadings for any test is equal to unity. It was also shown that each factor loading for statistically independent factors is the square root of the variance that is attributable to that factor. The fundamental theorem of factor analysis, which proves that any reduced correlation matrix can be factorized, was then discussed since it is basic to the entire theory. The centroid method of factoring a reduced correlation matrix was next developed. A method was thus obtained by which the correlation matrix could be analysed into a common factor matrix. However, since Thurstone does not consider these to be psychologically meaningful factors it was found that a rotation of reference frame must then be carried out. Consideration was given to the problem of rotating axes and a method examined which enables one to rotate axes in a two-dimensional plot. This method was found to be such that it could be generalized to an r dimensional factor pattern. It had the advantage of furnishing a graphic record of the relationships among the tests. However, it had a disadvantage in that many diagrams must be plotted if the number of dimensions is large. Upon examining the problem of attaching psychological meaning to the factors, it was noted that subjectivity must play a large part and so no rote rules could be furnished as a solution to this problem. For this reason several examples of interpretations were presented in order to enable the reader to obtain a clearer insight into the logical steps employed. Finally, the limitations of this study were considered and a brief discussion of…

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Hellyer, S. (1950). Multiple-factor analysis : its purpose and meaning . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/41414

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):

Hellyer, Sydney. “Multiple-factor analysis : its purpose and meaning .” 1950. Thesis, University of British Columbia. Accessed February 25, 2020. http://hdl.handle.net/2429/41414.

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

MLA Handbook (7^th Edition):

Hellyer, Sydney. “Multiple-factor analysis : its purpose and meaning .” 1950. Web. 25 Feb 2020.

Vancouver:

Hellyer S. Multiple-factor analysis : its purpose and meaning . [Internet] [Thesis]. University of British Columbia; 1950. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2429/41414.

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

Council of Science Editors:

Hellyer S. Multiple-factor analysis : its purpose and meaning . [Thesis]. University of British Columbia; 1950. Available from: http://hdl.handle.net/2429/41414

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

Texas Christian University

13. Neil, Allan Frank. Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil.

Degree: 1973, Texas Christian University

URL: https://repository.tcu.edu/handle/116099117/34688

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Neil, A. F. (1973). Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil. (Thesis). Texas Christian University. Retrieved from https://repository.tcu.edu/handle/116099117/34688

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):

Neil, Allan Frank. “Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil.” 1973. Thesis, Texas Christian University. Accessed February 25, 2020. https://repository.tcu.edu/handle/116099117/34688.

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

MLA Handbook (7^th Edition):

Neil, Allan Frank. “Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil.” 1973. Web. 25 Feb 2020.

Vancouver:

Neil AF. Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil. [Internet] [Thesis]. Texas Christian University; 1973. [cited 2020 Feb 25]. Available from: https://repository.tcu.edu/handle/116099117/34688.

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

Council of Science Editors:

Neil AF. Alternative methods for the factor analytic treatment of ipsative scores, with particular reference to the Edwards personal preference schedule / by Allan Frank Neil. [Thesis]. Texas Christian University; 1973. Available from: https://repository.tcu.edu/handle/116099117/34688

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

Michigan State University

14. Aleamoni, Lawrence M. An empirical exploration of three possible sources of factorial variation.

Degree: PhD, Department of Education, 1966, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:34375

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Aleamoni, L. M. (1966). An empirical exploration of three possible sources of factorial variation. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:34375

Chicago Manual of Style (16^th Edition):

Aleamoni, Lawrence M. “An empirical exploration of three possible sources of factorial variation.” 1966. Doctoral Dissertation, Michigan State University. Accessed February 25, 2020. http://etd.lib.msu.edu/islandora/object/etd:34375.

MLA Handbook (7^th Edition):

Aleamoni, Lawrence M. “An empirical exploration of three possible sources of factorial variation.” 1966. Web. 25 Feb 2020.

Vancouver:

Aleamoni LM. An empirical exploration of three possible sources of factorial variation. [Internet] [Doctoral dissertation]. Michigan State University; 1966. [cited 2020 Feb 25]. Available from: http://etd.lib.msu.edu/islandora/object/etd:34375.

Council of Science Editors:

Aleamoni LM. An empirical exploration of three possible sources of factorial variation. [Doctoral Dissertation]. Michigan State University; 1966. Available from: http://etd.lib.msu.edu/islandora/object/etd:34375

Michigan State University

15. Lange, Allan Lindsay. An empirical study of sampling error in factor analysis.

Degree: PhD, College of Education, 1969, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:18875

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Lange, A. L. (1969). An empirical study of sampling error in factor analysis. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:18875

Chicago Manual of Style (16^th Edition):

Lange, Allan Lindsay. “An empirical study of sampling error in factor analysis.” 1969. Doctoral Dissertation, Michigan State University. Accessed February 25, 2020. http://etd.lib.msu.edu/islandora/object/etd:18875.

MLA Handbook (7^th Edition):

Lange, Allan Lindsay. “An empirical study of sampling error in factor analysis.” 1969. Web. 25 Feb 2020.

Vancouver:

Lange AL. An empirical study of sampling error in factor analysis. [Internet] [Doctoral dissertation]. Michigan State University; 1969. [cited 2020 Feb 25]. Available from: http://etd.lib.msu.edu/islandora/object/etd:18875.

Council of Science Editors:

Lange AL. An empirical study of sampling error in factor analysis. [Doctoral Dissertation]. Michigan State University; 1969. Available from: http://etd.lib.msu.edu/islandora/object/etd:18875

Michigan State University

16. Kiel, Donald Franklin. Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates.

Degree: MA, 1966, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:14914

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Kiel, D. F. (1966). Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates. (Masters Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:14914

Chicago Manual of Style (16^th Edition):

Kiel, Donald Franklin. “Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates.” 1966. Masters Thesis, Michigan State University. Accessed February 25, 2020. http://etd.lib.msu.edu/islandora/object/etd:14914.

MLA Handbook (7^th Edition):

Kiel, Donald Franklin. “Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates.” 1966. Web. 25 Feb 2020.

Vancouver:

Kiel DF. Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates. [Internet] [Masters thesis]. Michigan State University; 1966. [cited 2020 Feb 25]. Available from: http://etd.lib.msu.edu/islandora/object/etd:14914.

Council of Science Editors:

Kiel DF. Effects upon the factorial solution of rotating varying numbers of factors with differing initial communality estimates. [Masters Thesis]. Michigan State University; 1966. Available from: http://etd.lib.msu.edu/islandora/object/etd:14914

Michigan State University

17. Wilkins, Donald Monroe. Factor analysis and multiple scalogram analysis : a logical and empirical comparison.

Degree: PhD, 1962, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:41184

Subjects/Keywords: Factor analysis

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APA (6^th Edition):

Wilkins, D. M. (1962). Factor analysis and multiple scalogram analysis : a logical and empirical comparison. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:41184

Chicago Manual of Style (16^th Edition):

Wilkins, Donald Monroe. “Factor analysis and multiple scalogram analysis : a logical and empirical comparison.” 1962. Doctoral Dissertation, Michigan State University. Accessed February 25, 2020. http://etd.lib.msu.edu/islandora/object/etd:41184.

MLA Handbook (7^th Edition):

Wilkins, Donald Monroe. “Factor analysis and multiple scalogram analysis : a logical and empirical comparison.” 1962. Web. 25 Feb 2020.

Vancouver:

Wilkins DM. Factor analysis and multiple scalogram analysis : a logical and empirical comparison. [Internet] [Doctoral dissertation]. Michigan State University; 1962. [cited 2020 Feb 25]. Available from: http://etd.lib.msu.edu/islandora/object/etd:41184.

Council of Science Editors:

Wilkins DM. Factor analysis and multiple scalogram analysis : a logical and empirical comparison. [Doctoral Dissertation]. Michigan State University; 1962. Available from: http://etd.lib.msu.edu/islandora/object/etd:41184

University of Edinburgh

18. Major, Jason. The dependability of the general factor of intelligence: Why g is not a first principal component.

Degree: 2010, University of Edinburgh

URL: http://hdl.handle.net/1842/5310

► In a replication of a psychometric study by Floyd, Shands, Rafael, Bergeron & McGrew (2009), generalizability theory was used to isolate and compare three different… (more)

Subjects/Keywords: general intelligence; factor analysis; factor loadings; generalizability theory; g factor

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APA (6^th Edition):

Major, J. (2010). The dependability of the general factor of intelligence: Why g is not a first principal component. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5310

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):

Major, Jason. “The dependability of the general factor of intelligence: Why g is not a first principal component.” 2010. Thesis, University of Edinburgh. Accessed February 25, 2020. http://hdl.handle.net/1842/5310.

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

MLA Handbook (7^th Edition):

Major, Jason. “The dependability of the general factor of intelligence: Why g is not a first principal component.” 2010. Web. 25 Feb 2020.

Vancouver:

Major J. The dependability of the general factor of intelligence: Why g is not a first principal component. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1842/5310.

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

Council of Science Editors:

Major J. The dependability of the general factor of intelligence: Why g is not a first principal component. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/5310

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

Bowling Green State University

19. Wang, Jing. Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis.

Degree: PhD, Psychology/Quantitative, 2007, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851

► An observed variable may be decomposed into three components: one or several common factors, a specific factor, and a measurement error. Unfortunately, the specific factor… (more)

▼ An observed variable may be decomposed into three components: one or several common factors, a specific factor, and a measurement error. Unfortunately, the specific factor is usually combined with the measurement error and treated as the unique factor in a factor analytic model (FAM) (Harman, 1976; Muliak, 1972). The confounding of parameters leads to several potential problems, such as underestimated reliability, biased estimation of the intercepts, slopes, and measurement error variances. There are two approaches to separately identify the specific factors, the first- and second-order FAM approach and the stationary longitudinal FAM approach, both by including several replicates for each variable from a classical FAM. The purpose of the dissertation is to fully discuss the analogy between the two approaches on separately identifying the specific factors and highlight the role played by the specific factors. First, the first- and second-order FAM approach is extended by including the mean structure and explicitly including the specific factor means and variances. Second, a special condition, i.e., equality of specific factor variances and covariances for the same variable, in the stationery longitudinal FAM approach is presented. To show the analogy between the two approaches on the model identification, all observed and latent variables are permutated to be variable ordered for the longitudinal model. After the permutations, we can easily see that the special condition allows us to build a second-order model on the specific factors, which shows the similarity between the two approaches. However, the first approach requires equal specific factor means for the replicates, while the second approach allows the specific factor means to change over time. From one illustration in a longitudinal FAM, the presence of the specific factors, exhibits themselves both in the mean structure, and in the variance/covariances structure. If the specific factors were omitted, the desired stationarity of the factor structure, i.e., equal intercepts and slopes, would be biased. Furthermore, neglecting the specific factors would lead to negatively biased reliabilities. Advisors/Committee Members: Tisak, John (Advisor).

Subjects/Keywords: Psychology, Psychometrics; SPECIFIC FACTOR; LONGITUDINAL FACTOR ANALYSIS; FACTORIAL INVARIANCE; SECOND-ORDER FACTOR ANALYSIS

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APA (6^th Edition):

Wang, J. (2007). Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851

Chicago Manual of Style (16^th Edition):

Wang, Jing. “Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis.” 2007. Doctoral Dissertation, Bowling Green State University. Accessed February 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851.

MLA Handbook (7^th Edition):

Wang, Jing. “Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis.” 2007. Web. 25 Feb 2020.

Vancouver:

Wang J. Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis. [Internet] [Doctoral dissertation]. Bowling Green State University; 2007. [cited 2020 Feb 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851.

Council of Science Editors:

Wang J. Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis. [Doctoral Dissertation]. Bowling Green State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851

University of Minnesota

20. Walick, Christopher. A Proposed Algebra Problem-Analysis Model.

Degree: PhD, Educational Psychology, 2015, University of Minnesota

URL: http://hdl.handle.net/11299/175555

► The National Mathematics Advisory Panel (2008) states that algebra is a gateway to high school graduation and college success. While existing research emphasizes the importance… (more)

Subjects/Keywords: Algebra; Confirmatory Factor Analysis; Problem Analysis

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APA (6^th Edition):

Walick, C. (2015). A Proposed Algebra Problem-Analysis Model. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175555

Chicago Manual of Style (16^th Edition):

Walick, Christopher. “A Proposed Algebra Problem-Analysis Model.” 2015. Doctoral Dissertation, University of Minnesota. Accessed February 25, 2020. http://hdl.handle.net/11299/175555.

MLA Handbook (7^th Edition):

Walick, Christopher. “A Proposed Algebra Problem-Analysis Model.” 2015. Web. 25 Feb 2020.

Vancouver:

Walick C. A Proposed Algebra Problem-Analysis Model. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/11299/175555.

Council of Science Editors:

Walick C. A Proposed Algebra Problem-Analysis Model. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175555

Penn State University

21. Mahan, Ellen Daly. Relating the Sensory and Rheological Properties of Personal Care Products.

Degree: MS, Food Science, 2011, Penn State University

URL: https://etda.libraries.psu.edu/catalog/11778

► To address a potential disconnect in directly comparing instrumental data to user acceptability, a proof-of-concept study was designed to demonstrate the importance of human perception… (more)

▼ To address a potential disconnect in directly comparing instrumental data to user acceptability, a proof-of-concept study was designed to demonstrate the importance of human perception in the realm of microbicide formulation. Physical properties of a sample can determine the success of a microbicide in terms of both acceptability of the product and drug delivery; understanding the relationship between acceptability and physical properties is a critical step in the rational design of microbicide products. However, acceptability data is affective and thus only reflects participant preferences for a product while instrumental data, though reliable and extensive, does not necessarily measure qualities that are relevant to human perception. Linking instrumental data and acceptability data often requires the additional step of quantifying human perception of product attributes. While the microbicide field is beginning to recognize the need for perceptual data, this step has already been filled and refined in the food and consumer product industry through descriptive analysis. To demonstrate a potential application of descriptive analysis to the microbicide field, a sample set of six over-the-counter vaginal products (Astroglide, PreSeed, KY, Replens, RepHresh, and Gynol) were subject to descriptive analysis, using a panel of 10 individuals, to quantify perceptual attributes and instrumental analysis, using a rheometer, to collect rheological data. Multivariate statistics were used to study relationships between the data sets. Analysis showed that Gynol was the most perceptually different sample while PreSeed was the most rheologically different sample in the set; but patterns corresponding to intended function of the products were found within both the rheological and sensory data. The indirect measurements of viscosity, G” at 10 rad/s and K, appeared to predict stickiness, rubberiness, peaking, and uniform thickness. However, strong relationships were not found between most rheological and sensory variables, meaning the most of the instrumental data collected either do not predict human perception of the sensory variables measured in this study or that they are incomplete measures of the underlying sensory constructs.

Subjects/Keywords: descriptive analysis; rheology; sensory; multiple factor analysis

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APA (6^th Edition):

Mahan, E. D. (2011). Relating the Sensory and Rheological Properties of Personal Care Products. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11778

Chicago Manual of Style (16^th Edition):

Mahan, Ellen Daly. “Relating the Sensory and Rheological Properties of Personal Care Products.” 2011. Masters Thesis, Penn State University. Accessed February 25, 2020. https://etda.libraries.psu.edu/catalog/11778.

MLA Handbook (7^th Edition):

Mahan, Ellen Daly. “Relating the Sensory and Rheological Properties of Personal Care Products.” 2011. Web. 25 Feb 2020.

Vancouver:

Mahan ED. Relating the Sensory and Rheological Properties of Personal Care Products. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2020 Feb 25]. Available from: https://etda.libraries.psu.edu/catalog/11778.

Council of Science Editors:

Mahan ED. Relating the Sensory and Rheological Properties of Personal Care Products. [Masters Thesis]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/11778

Delft University of Technology

22. Van der Hall, A. The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :.

Degree: 2010, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:082ee276-21f0-4219-88f1-1ce59d2f7572

► Research expanding and testing the Innovation Challenge framework. This framework aims to measure innovation activities within companies and link them to firm performance. Methods applied… (more)

Subjects/Keywords: innovation; IBM; factor analysis; path analysis

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APA (6^th Edition):

Van der Hall, A. (2010). The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:082ee276-21f0-4219-88f1-1ce59d2f7572

Chicago Manual of Style (16^th Edition):

Van der Hall, A. “The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :.” 2010. Masters Thesis, Delft University of Technology. Accessed February 25, 2020. http://resolver.tudelft.nl/uuid:082ee276-21f0-4219-88f1-1ce59d2f7572.

MLA Handbook (7^th Edition):

Van der Hall, A. “The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :.” 2010. Web. 25 Feb 2020.

Vancouver:

Van der Hall A. The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Feb 25]. Available from: http://resolver.tudelft.nl/uuid:082ee276-21f0-4219-88f1-1ce59d2f7572.

Council of Science Editors:

Van der Hall A. The Innovation Challenge: Expansion and Empirical Evaluation of a framework measuring Innovation Practices within for profit organizations :. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:082ee276-21f0-4219-88f1-1ce59d2f7572

University of the Western Cape

23. Mosavel, Haajierah. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .

Degree: 2014, University of the Western Cape

URL: http://hdl.handle.net/11394/3984

► The thesis aims to determine the depositional environments, rock types and petrophysical characteristics of the reservoirs in Wells E-S3, E-S5 and F-AH4 of Area X… (more)

Subjects/Keywords: Porosity; Permeability; Multivariate analysis; Factor analysis; Discriminant analysis; Cluster analysis

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APA (6^th Edition):

Mosavel, H. (2014). Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3984

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):

Mosavel, Haajierah. “Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .” 2014. Thesis, University of the Western Cape. Accessed February 25, 2020. http://hdl.handle.net/11394/3984.

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

MLA Handbook (7^th Edition):

Mosavel, Haajierah. “Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .” 2014. Web. 25 Feb 2020.

Vancouver:

Mosavel H. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/11394/3984.

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

Council of Science Editors:

Mosavel H. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3984

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

The Ohio State University

24. Sanders, Margaret. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.

Degree: MA, EDU Policy and Leadership, 2014, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127

► In education research, ordinal data is the norm but does not meet the assumptions of most statistical methods and thus is often analyzed inappropriately. Using… (more)

▼ In education research, ordinal data is the norm but does not meet the assumptions of most statistical methods and thus is often analyzed inappropriately. Using a dataset typical of the field, this study compared four factor analytic methods: a traditional exploratory factor analysis (EFA), a full-information EFA, and two EFAs within the confirmatory factor analysis framework (E/CFA) conducted according to the Jöreskog method and the Gugiu method. Because an approach for handling cross-loaded items in multifactor models has not been clearly defined within the Gugiu method, two approaches were compared. The fixed-loadings approach involves forcing cross-loaded items to load onto only one factor, chosen based on the strongest theoretical justification. The delete-items approach deletes all cross-loaded items from the model. Both approaches were used to arrive at a starting model that was then modified according to the Gugiu method. Methods were compared on initial model fit, replication in a confirmatory factor analysis, and the stability, interpretability, and reliability of the models. In terms of initial model fit, methods appropriate for ordinal data produced better models, the E/CFAs outperformed the EFAs, and the Gugiu method demonstrated greater model interpretability than the Jöreskog method. Both approaches to the Gugiu method produced well-fitting models, but the delete-items approach outperformed the fixed-loadings approach. However, contrary to the findings of a previous study, these results did not hold for model validation. In CFAs conducted on posttest data, the model fit of the E/CFAs was on par with or worse than the model fit of the EFAs. Additionally, the two approaches to the Gugiu method performed the worst where before they had performed the best, with the fixed-loadings approach faring particularly poorly. In the case of this data, the full-information EFA produced the best fitting models.Examining characteristics of the data help to explain the unexpectedly poor performance of the E/CFA methods and help to clarify when these methods are appropriate to use. Diagonal weighted least squares (DWLS), the method of estimation employed by the full-information EFA and the two E/CFAs, may produce biased parameter estimates when used with small sample sizes, with factors defined by only a few items, and with items with high skewness. These biased parameter estimates are even more problematic when used to make model modification decisions, as they were for the Jöreskog and Gugiu E/CFA methods. Thus, the results of the current study suggest that the full-information EFA may be the most appropriate method to use with data with these problematic characteristics. Secondarily, the findings also provide evidence for the delete-items approach as the more appropriate way of dealing with cross-loaded items in the Gugiu E/CFA method. Advisors/Committee Members: Gugiu, P. Cristian (Advisor).

Subjects/Keywords: Educational Tests and Measurements; Psychological Tests; exploratory factor analysis; confirmatory factor analysis; ordinal data analysis

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

APA (6^th Edition):

Sanders, M. (2014). Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127

Chicago Manual of Style (16^th Edition):

Sanders, Margaret. “Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.” 2014. Masters Thesis, The Ohio State University. Accessed February 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127.

MLA Handbook (7^th Edition):

Sanders, Margaret. “Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.” 2014. Web. 25 Feb 2020.

Vancouver:

Sanders M. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2020 Feb 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127.

Council of Science Editors:

Sanders M. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127

Louisiana State University

25. Swaim, Victor Snipes. Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data.

Degree: PhD, Education, 2009, Louisiana State University

URL: etd-10282009-144508 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3044

► Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using… (more)

▼ Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using normal data sets. This study had two phases. The first phase explored the Kaiser method, Scree test, Bartlett’s chi-square test, Minimum Average Partial (1976 & 2000), Horn’s parallel analysis, and Longman’s Parallel Analysis on normal data using the estimation methods of Maximum Likelihood (ML), Principal Component Analysis (PCA), and Principal Factor Analysis (PFA). The second phase explored the Kaiser method, Scree test, Minimum Average Partial (1976 & 2000), and Horn’s parallel analysis, and Longman’s Parallel Analysis on data that contained outliers using the estimation methods of PCA and PFA. In the first phase, sample correlation matrices were generated with varied conditions (sample size, number of variables, estimation methods). Three hundred sample correlation matrices were generated for each condition for a grand total of eighteen hundred. The performance of parallel analysis and the Kaiser method were generally the best across all situations. However, the increase in variables and sample size under each condition showed a difference in accuracy among the methods. The increase in sample size resulted in little difference between estimation methods of PCA and PFA. Recommendations concerning the accuracy of the methods under each condition are discussed. In the second phase, fifty sample correlation matrices were randomly selected from each of the three hundred sample correlations matrices under each condition. An outlier was randomly incorporated in each of the fifty sample correlation matrices. The squared Mahalanobis distance was recorded for each to determine the distance at which the methods start to fail. The research conducted here indicates that Parallel Analysis and Longman’s Parallel Analysis was very resistant to outliers in some specific cases. However, it was evident from the data that each method tended to make the incorrect decision on retaining the correct number of factors when the squared Mahalanobis distance reached a certain amount. A discussion of method performance is given on each of the conditions to help determine the most effective and useful combinations on dealing with the outliers.

Subjects/Keywords: factor analysis; outlier; principal component analysis; principal factor analysis; methods of extraction

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

APA (6^th Edition):

Swaim, V. S. (2009). Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-10282009-144508 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3044

Chicago Manual of Style (16^th Edition):

Swaim, Victor Snipes. “Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data.” 2009. Doctoral Dissertation, Louisiana State University. Accessed February 25, 2020. etd-10282009-144508 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3044.

MLA Handbook (7^th Edition):

Swaim, Victor Snipes. “Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data.” 2009. Web. 25 Feb 2020.

Vancouver:

Swaim VS. Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data. [Internet] [Doctoral dissertation]. Louisiana State University; 2009. [cited 2020 Feb 25]. Available from: etd-10282009-144508 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3044.

Council of Science Editors:

Swaim VS. Determining the number of factors in data containing a single outlier: a study of factor analysis of simulated data. [Doctoral Dissertation]. Louisiana State University; 2009. Available from: etd-10282009-144508 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3044

Delft University of Technology

26. Bani Hashemi, S.J. Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:.

Degree: 2010, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:45874f7b-40c8-4ea5-ad4d-cecfbc0d9e8b

► This study explores the demands of customer segments for mobile service bundles in the Netherlands. A latent class cluster model is specified that describes the… (more)

Subjects/Keywords: Mobile Service Adoption; Customer Segments; Service Bundles; Factor Analysis; Comparative Factor Analysis; Latent Class Analysis

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

APA (6^th Edition):

Bani Hashemi, S. J. (2010). Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:45874f7b-40c8-4ea5-ad4d-cecfbc0d9e8b

Chicago Manual of Style (16^th Edition):

Bani Hashemi, S J. “Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:.” 2010. Masters Thesis, Delft University of Technology. Accessed February 25, 2020. http://resolver.tudelft.nl/uuid:45874f7b-40c8-4ea5-ad4d-cecfbc0d9e8b.

MLA Handbook (7^th Edition):

Bani Hashemi, S J. “Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:.” 2010. Web. 25 Feb 2020.

Vancouver:

Bani Hashemi SJ. Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Feb 25]. Available from: http://resolver.tudelft.nl/uuid:45874f7b-40c8-4ea5-ad4d-cecfbc0d9e8b.

Council of Science Editors:

Bani Hashemi SJ. Composing effective Mobile service bundles: Understanding the demands of customer segments and targeting mobile services:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:45874f7b-40c8-4ea5-ad4d-cecfbc0d9e8b

University of the Western Cape

27. Balogun, Tolulope Victoria. An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis .

Degree: 2017, University of the Western Cape

URL: http://hdl.handle.net/11394/6327

► Organizations exist for the primary aim of meeting particular objectives: innovation and advancement, customer satisfaction, profit making and delivery of quality goods and services. These… (more)

Subjects/Keywords: Authentic Leadership; Analysis of variance; Confirmatory Factor Analysis; Comparative Fit Index; Exploratory Factor Analysis

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

APA (6^th Edition):

Balogun, T. V. (2017). An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/6327

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):

Balogun, Tolulope Victoria. “An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis .” 2017. Thesis, University of the Western Cape. Accessed February 25, 2020. http://hdl.handle.net/11394/6327.

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

MLA Handbook (7^th Edition):

Balogun, Tolulope Victoria. “An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis .” 2017. Web. 25 Feb 2020.

Vancouver:

Balogun TV. An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis . [Internet] [Thesis]. University of the Western Cape; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/11394/6327.

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

Council of Science Editors:

Balogun TV. An intergrated model of the role of authentic leadership, psychological capital, psychological climate and intention to quit on employee work engagement: A comparative analysis . [Thesis]. University of the Western Cape; 2017. Available from: http://hdl.handle.net/11394/6327

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

NSYSU

28. Lin, Wan-ru. Macroeconomic multi factor forecasting model in Taiwan.

Degree: Master, Finance, 2012, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610112-212627

► This purpose behind this study is to develop a model for forecasting the performance of the Taiwanese economy based on monthly time series data. We… (more)

Subjects/Keywords: factor model; financial crisis; economic growth; business cycle; forecasting; macroeconomic factor model; factor analysis

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APA (6^th Edition):

Lin, W. (2012). Macroeconomic multi factor forecasting model in Taiwan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610112-212627

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):

Lin, Wan-ru. “Macroeconomic multi factor forecasting model in Taiwan.” 2012. Thesis, NSYSU. Accessed February 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610112-212627.

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

MLA Handbook (7^th Edition):

Lin, Wan-ru. “Macroeconomic multi factor forecasting model in Taiwan.” 2012. Web. 25 Feb 2020.

Vancouver:

Lin W. Macroeconomic multi factor forecasting model in Taiwan. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610112-212627.

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

Council of Science Editors:

Lin W. Macroeconomic multi factor forecasting model in Taiwan. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0610112-212627

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

University of British Columbia

29. Wu, Amery Dai Ling. Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models .

Degree: 2008, University of British Columbia

URL: http://hdl.handle.net/2429/2333

► This dissertation introduces a new method, Pratt's measure matrix, for interpreting multidimensional oblique factor models in both exploratory and confirmatory contexts. Overall, my thesis, supported… (more)

▼ This dissertation introduces a new method, Pratt's measure matrix, for interpreting multidimensional oblique factor models in both exploratory and confirmatory contexts. Overall, my thesis, supported by empirical evidence, refutes the currently recommended and practiced methods for understanding an oblique factor model; that is, interpreting the pattern matrix or structure matrix alone or juxtaposing both without integrating the information. Chapter Two reviews the complexities of interpreting a multidimensional factor solution due to factor correlation (i.e., obliquity). Three major complexities highlighted are (1) the inconsistency between the pattern and structure coefficients, (2) the distortion of additive properties, and (3) the inappropriateness of the traditional cut-off rules as being "meaningful". Chapter Three provides the theoretical rationale for adapting Pratt's importance measures from their use in multiple regression to that of factor analysis. The new method is demonstrated and tested with both continuous and categorical data in exploratory factor analysis. The results show that Pratt's measures are applicable to factor analysis and are able to resolve three interpretational complexities arising from factor obliquity. In the context of confirmatory factor analysis, Chapter Four warns researchers that a structure coefficient could be entirely spurious due to factor obliquity as well as zero constraint on its corresponding pattern coefficient. Interpreting such structure coefficients as Graham et al. (2003) suggested can be problematic. The mathematically more justified method is to transform the pattern and structure coefficients into Pratt's measures. The last chapter describes eight novel contributions in this dissertation. The new method is the first attempt ever at ordering the importance of latent variables for multivariate data. It is also the first attempt at demonstrating and explicating the existence, mechanism, and implications of the suppression effect in factor analyses. Specifically, the new method resolves the three interpretational problems due to factor obliquity, assists in identifying a better-fitting exploratory factor model, proves that a structure coefficient in a confirmatory factor analysis with a zero pattern constraint is entirely spurious, avoids the debate over the choice of oblique and orthogonal factor rotation, and last but not least, provides a tool for consolidating the role off actors as the underlying causes.

Subjects/Keywords: Factor models; Factor analysis; Oblique factor

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

APA (6^th Edition):

Wu, A. D. L. (2008). Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/2333

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):

Wu, Amery Dai Ling. “Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models .” 2008. Thesis, University of British Columbia. Accessed February 25, 2020. http://hdl.handle.net/2429/2333.

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

MLA Handbook (7^th Edition):

Wu, Amery Dai Ling. “Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models .” 2008. Web. 25 Feb 2020.

Vancouver:

Wu ADL. Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2429/2333.

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

Council of Science Editors:

Wu ADL. Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/2333

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

Georgia State University

30. Taylor, Rachel Y. Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation.

Degree: PhD, Educational Policy Studies, 2019, Georgia State University

URL: https://scholarworks.gsu.edu/eps_diss/211

► The Wechsler Intelligence Scale for Children- Fifth Edition (WISC-V; Wechsler, 2014) is expected to be the most widely used measure of intelligence of school… (more)

▼ The Wechsler Intelligence Scale for Children- Fifth Edition (WISC-V; Wechsler, 2014) is expected to be the most widely used measure of intelligence of school aged children in the United States for at least the next ten years. Results of this assessment are used to make decisions about students' educational placements. Evidence of structural validity of previous versions of the Wechsler scales with subjects who have been referred for evaluation due to a suspected disability was rarely examined. Only six studies focused on evidence of structural validity of the Wechsler Intelligence Scale for Children- Fourth Edition with referred samples, during its reign as the leading measure of intelligence for over a decade. In five of those studies, researchers employed confirmatory factor analysis, while exploratory factor analysis was employed in one study. In this study, I investigated the factor structure and measurement invariance of the WISC-V with students who had been referred for evaluation because of academic and/or behavioral difficulties. Participants were African-American students in one urban school district in the southeastern United States who were administered the WISC-V during the 2015-2017 school years. Confirmatory factor analysis was conducted using Mplus version 7.4 to determine whether the referred sample’s data fit the 10 primary subtest structural model that is published in the WISC-V Technical and Interpretive Manual (Wechsler, 2014). Results indicated that the best fitting structural model was the four-factor hierarchical model, not the five-factor hierarchical model that the publishers endorse. Measurement invariance of the WISC-V between genders was also investigated using Mplus version 7.4. Invariance between genders was confirmed with the four-factor model. The five-factor model of the female sample’s data would not converge, which suggested measurement variance between genders or one of several other problems commonly associated with small sample sizes and large numbers of parameters to estimate. Interpretation of the WISC-V should be based on the Full Scale IQ only. Recommendations for future research were offered. Advisors/Committee Members: Charles Kevin Fortner, Ph.D., William Curlette, Ph.D., Hongli Li, Ph.D., Tiffany Hogan, Ph.D..

Subjects/Keywords: confirmatory factor analysis; structural validity; intelligence tests; factor loadings

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

APA (6^th Edition):

Taylor, R. Y. (2019). Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/eps_diss/211

Chicago Manual of Style (16^th Edition):

Taylor, Rachel Y. “Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation.” 2019. Doctoral Dissertation, Georgia State University. Accessed February 25, 2020. https://scholarworks.gsu.edu/eps_diss/211.

MLA Handbook (7^th Edition):

Taylor, Rachel Y. “Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation.” 2019. Web. 25 Feb 2020.

Vancouver:

Taylor RY. Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation. [Internet] [Doctoral dissertation]. Georgia State University; 2019. [cited 2020 Feb 25]. Available from: https://scholarworks.gsu.edu/eps_diss/211.

Council of Science Editors:

Taylor RY. Structural Validity Evidence of the Wechsler Intelligence Scale for Children- Fifth Edition with African-American Students who have been Referred for Evaluation. [Doctoral Dissertation]. Georgia State University; 2019. Available from: https://scholarworks.gsu.edu/eps_diss/211

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Open Access Theses and Dissertations