Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Multilevel measurement models). Showing records 1 – 5 of 5 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Minnesota

1. Stanke, Luke. Modeling Item Features that Characterize Measurement Bias.

Degree: PhD, Educational Psychology, 2016, University of Minnesota

 Identifying measurement bias in test items using statistical procedures is important because it aids in the development of a measurement invariant and fair test. Many… (more)

Subjects/Keywords: cross-classified models; measurement bias; measurement invariance; multilevel models; Rasch models; test taking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Stanke, L. (2016). Modeling Item Features that Characterize Measurement Bias. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182752

Chicago Manual of Style (16th Edition):

Stanke, Luke. “Modeling Item Features that Characterize Measurement Bias.” 2016. Doctoral Dissertation, University of Minnesota. Accessed June 06, 2020. http://hdl.handle.net/11299/182752.

MLA Handbook (7th Edition):

Stanke, Luke. “Modeling Item Features that Characterize Measurement Bias.” 2016. Web. 06 Jun 2020.

Vancouver:

Stanke L. Modeling Item Features that Characterize Measurement Bias. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/11299/182752.

Council of Science Editors:

Stanke L. Modeling Item Features that Characterize Measurement Bias. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182752


UCLA

2. Kuhfeld, Megan Rebecca. Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness.

Degree: Education, 2016, UCLA

 Measures of teacher effectiveness have become a major research and policy issue due to the increased focus on teacher accountability during the past decade. Growing… (more)

Subjects/Keywords: Educational tests & measurements; Quantitative psychology; Education policy; Educational measurement; Item response theory; Multilevel models; Student surveys; Teacher evaluation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kuhfeld, M. R. (2016). Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/076175k5

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

Chicago Manual of Style (16th Edition):

Kuhfeld, Megan Rebecca. “Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness.” 2016. Thesis, UCLA. Accessed June 06, 2020. http://www.escholarship.org/uc/item/076175k5.

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

MLA Handbook (7th Edition):

Kuhfeld, Megan Rebecca. “Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness.” 2016. Web. 06 Jun 2020.

Vancouver:

Kuhfeld MR. Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Jun 06]. Available from: http://www.escholarship.org/uc/item/076175k5.

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

Council of Science Editors:

Kuhfeld MR. Multilevel Item Factor Analysis and Student Perceptions of Teacher Effectiveness. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/076175k5

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

3. Moyer, Eric. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.

Degree: PhD, Educational Psychology, 2013, University of Texas – Austin

Multilevel measurement models (MMM), an application of hierarchical generalized linear models (HGLM), model the relationship between ability levels estimates and item difficulty parameters, based on… (more)

Subjects/Keywords: Multilevel measurement models; Hierarchical generalized linear models; Psychometrics

…14 Multilevel Measurement Models… …introduced called multilevel measurement models (MMM). The use of hierarchical… …MMM. MULTILEVEL MEASUREMENT MODELS When examinees are associated based on some contextual… …and research concerning parameter invariance of IRT models. An introduction to multilevel… …measurement models (MMM), an alternate measurement framework, continues the chapter… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Moyer, E. (2013). Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21290

Chicago Manual of Style (16th Edition):

Moyer, Eric. “Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed June 06, 2020. http://hdl.handle.net/2152/21290.

MLA Handbook (7th Edition):

Moyer, Eric. “Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.” 2013. Web. 06 Jun 2020.

Vancouver:

Moyer E. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/2152/21290.

Council of Science Editors:

Moyer E. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21290

4. Tan, Jessica Yik Chian. Mathematical modelling and statistical analysis of school-based student performance data.

Degree: 2013, University of Adelaide

 In order to improve the education system so that students are not only reaching the minimum standards of literacy and numeracy but are also given… (more)

Subjects/Keywords: NAPLAN; education; Rasch scaling value - added measurement; hierarchical models; longitudinal models; linear multilevel mixed effects models; BUGS; Stan

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tan, J. Y. C. (2013). Mathematical modelling and statistical analysis of school-based student performance data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/83277

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

Chicago Manual of Style (16th Edition):

Tan, Jessica Yik Chian. “Mathematical modelling and statistical analysis of school-based student performance data.” 2013. Thesis, University of Adelaide. Accessed June 06, 2020. http://hdl.handle.net/2440/83277.

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

MLA Handbook (7th Edition):

Tan, Jessica Yik Chian. “Mathematical modelling and statistical analysis of school-based student performance data.” 2013. Web. 06 Jun 2020.

Vancouver:

Tan JYC. Mathematical modelling and statistical analysis of school-based student performance data. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2020 Jun 06]. Available from: http://hdl.handle.net/2440/83277.

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

Council of Science Editors:

Tan JYC. Mathematical modelling and statistical analysis of school-based student performance data. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/83277

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


Pontifical Catholic University of Rio de Janeiro

5. CARLOS ALBERTO QUADROS COIMBRA. [en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC.

Degree: 2005, Pontifical Catholic University of Rio de Janeiro

[pt] Neste trabalho apresentamos algumas contrubuições ao estudo dos modelos de avaliação estatística usados nas ciências sociais. As contribuições originais são: i ) uma descrição… (more)

Subjects/Keywords: [pt] TEORIA DA RESPOSTA AO ITEM; [en] ITEM RESPONSE THEORY; [pt] VARIAVEIS LATENTES; [en] LATENT VARIABLES; [pt] TEORIA DA MEDICAO; [en] MEASUREMENT THEORY; [pt] MODELOS MULTINIVEL; [en] MULTILEVEL MODELS; [pt] PSICOMETRIA; [en] PSYCHOMETRIC; [pt] SOCIOMETRIA; [en] SOCIOMETRIC; [pt] AVALIACAO NAS CIENCIAS SOCIAIS; [en] MEASUREMENT AND ASSESSMENT IN THE SOCIAL SCIENCES

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

COIMBRA, C. A. Q. (2005). [en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6695

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

Chicago Manual of Style (16th Edition):

COIMBRA, CARLOS ALBERTO QUADROS. “[en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC.” 2005. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed June 06, 2020. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6695.

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

MLA Handbook (7th Edition):

COIMBRA, CARLOS ALBERTO QUADROS. “[en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC.” 2005. Web. 06 Jun 2020.

Vancouver:

COIMBRA CAQ. [en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2005. [cited 2020 Jun 06]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6695.

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

Council of Science Editors:

COIMBRA CAQ. [en] NONLINEAR MODELS IN ASSESSMENT IN THE SOCIAL SCIENCES: ESTIMATION BY STOCHASTIC APPROXIMATION, A FREQUENTIST MCMC. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2005. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6695

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

.