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You searched for +publisher:"University of Kansas" +contributor:("Skorupski, William P"). Showing records 1 – 30 of 35 total matches.

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University of Kansas

1. Meiers, Christopher Stephen. ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY.

Degree: PhD, Psychology & Research in Education, 2010, University of Kansas

 Item response theory scaling has been well established in achievement testing, but the practice has seen limited use in student development research. The purpose of… (more)

Subjects/Keywords: Education; Tests and measurements; Assessment; Item response theory; Scaling; Student community; Student development; Student satisfaction

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APA (6th Edition):

Meiers, C. S. (2010). ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/6479

Chicago Manual of Style (16th Edition):

Meiers, Christopher Stephen. “ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY.” 2010. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/6479.

MLA Handbook (7th Edition):

Meiers, Christopher Stephen. “ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY.” 2010. Web. 22 Feb 2019.

Vancouver:

Meiers CS. ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY. [Internet] [Doctoral dissertation]. University of Kansas; 2010. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/6479.

Council of Science Editors:

Meiers CS. ITEM RESPONSE THEORY SCALING OF AN ACADEMIC MEDICAL CENTER STUDENT SATISFACTION SURVEY. [Doctoral Dissertation]. University of Kansas; 2010. Available from: http://hdl.handle.net/1808/6479


University of Kansas

2. Suh, Hongwook. A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory.

Degree: PhD, Psychology & Research in Education, 2010, University of Kansas

 Response time has been regarded as an important source for investigating the relationship between human performance and response speed. It is important to examine the… (more)

Subjects/Keywords: Education; Tests and measurements; Educational psychology; Quantitative psychology; Bayesian estimation; Irt; Response time model; Speed-accuracy trade-off; Speededness

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APA (6th Edition):

Suh, H. (2010). A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/6788

Chicago Manual of Style (16th Edition):

Suh, Hongwook. “A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory.” 2010. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/6788.

MLA Handbook (7th Edition):

Suh, Hongwook. “A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory.” 2010. Web. 22 Feb 2019.

Vancouver:

Suh H. A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory. [Internet] [Doctoral dissertation]. University of Kansas; 2010. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/6788.

Council of Science Editors:

Suh H. A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory. [Doctoral Dissertation]. University of Kansas; 2010. Available from: http://hdl.handle.net/1808/6788


University of Kansas

3. Kim, Min Sung. Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation.

Degree: PhD, Psychology & Research in Education, 2015, University of Kansas

 The purpose of this paper is to introduce a new Item Response Theory (IRT) concurrent calibration method using multiple imputation and investigate its effectiveness by… (more)

Subjects/Keywords: Educational psychology; Educational tests & measurements; Educational evaluation; concurrent calibration; equating; IRT; linking; multiple imputation

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APA (6th Edition):

Kim, M. S. (2015). Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/20985

Chicago Manual of Style (16th Edition):

Kim, Min Sung. “Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/20985.

MLA Handbook (7th Edition):

Kim, Min Sung. “Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation.” 2015. Web. 22 Feb 2019.

Vancouver:

Kim MS. Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/20985.

Council of Science Editors:

Kim MS. Linking with Planned Missing Data: Concurrent Calibration with Multiple Imputation. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/20985


University of Kansas

4. Fall, Emily C. Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models.

Degree: MA, Psychology, 2009, University of Kansas

 Diagnostic Classification Models (DCM) use a Q-matrix to determine which skills are required to correctly answer items on large-scale assessments. DCMs are fit under the… (more)

Subjects/Keywords: Quantitative psychology; Psychometrics; Diagnostic classification models; Educational measurement; Q-matrix specification

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APA (6th Edition):

Fall, E. C. (2009). Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/7458

Chicago Manual of Style (16th Edition):

Fall, Emily C. “Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models.” 2009. Masters Thesis, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/7458.

MLA Handbook (7th Edition):

Fall, Emily C. “Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models.” 2009. Web. 22 Feb 2019.

Vancouver:

Fall EC. Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models. [Internet] [Masters thesis]. University of Kansas; 2009. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/7458.

Council of Science Editors:

Fall EC. Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models. [Masters Thesis]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/7458


University of Kansas

5. Lang, Kyle Matthew. MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net.

Degree: PhD, Psychology, 2015, University of Kansas

 Correctly specifying the imputation model when conducting multiple imputation remains one of the most significant challenges in missing data analysis. This dissertation introduces a robust… (more)

Subjects/Keywords: Quantitative psychology and psychometrics; Statistics; Bayesian Statistics; Big Data; Missing Data; Multiple Imputation; P >; N; Regularized Regression

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APA (6th Edition):

Lang, K. M. (2015). MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19062

Chicago Manual of Style (16th Edition):

Lang, Kyle Matthew. “MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/19062.

MLA Handbook (7th Edition):

Lang, Kyle Matthew. “MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net.” 2015. Web. 22 Feb 2019.

Vancouver:

Lang KM. MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/19062.

Council of Science Editors:

Lang KM. MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19062


University of Kansas

6. Bistricky, Steven L. Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability.

Degree: PhD, Psychology, 2010, University of Kansas

 Depression vulnerability has been frequently linked to selective attention biases, but these biases may partly result from an inhibitory deficit for processing depressive information (Joormann,… (more)

Subjects/Keywords: Clinical psychology; Physiological psychology; Cognitive psychology; Bias; Cognitive neuroscience; Depression; Erp; Facial emotion; Vulnerability

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APA (6th Edition):

Bistricky, S. L. (2010). Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/8051

Chicago Manual of Style (16th Edition):

Bistricky, Steven L. “Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability.” 2010. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/8051.

MLA Handbook (7th Edition):

Bistricky, Steven L. “Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability.” 2010. Web. 22 Feb 2019.

Vancouver:

Bistricky SL. Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability. [Internet] [Doctoral dissertation]. University of Kansas; 2010. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/8051.

Council of Science Editors:

Bistricky SL. Inhibitory Processing of Sad Facial Expressions and Depression Vulnerability. [Doctoral Dissertation]. University of Kansas; 2010. Available from: http://hdl.handle.net/1808/8051


University of Kansas

7. Genther, Diane Yvonne. FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY.

Degree: PhD, Counseling Psychology, 2011, University of Kansas

 Research indicates that sexual orientation is discussed far less often in clinical supervision compared to other cultural variables including race/ethnicity and gender. Though authors have… (more)

Subjects/Keywords: Counseling psychology; Clinical supervision; Competence; Sexual orientation

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APA (6th Edition):

Genther, D. Y. (2011). FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/10130

Chicago Manual of Style (16th Edition):

Genther, Diane Yvonne. “FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY.” 2011. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/10130.

MLA Handbook (7th Edition):

Genther, Diane Yvonne. “FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY.” 2011. Web. 22 Feb 2019.

Vancouver:

Genther DY. FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/10130.

Council of Science Editors:

Genther DY. FACTORS RELATING TO SUPERVISORS' INITIATION AND FREQUENCY OF DISCUSSION REGARDING SEXUAL ORIENTATION IN CLINICAL SUPERVISION OF INDIVIDUAL PSYCHOTHERAPY. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/10130


University of Kansas

8. Zheng, Chunmei. Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model.

Degree: PhD, Psychology & Research in Education, 2013, University of Kansas

 Educational and psychological constructs are normally measured by multifaceted dimensions. The measured construct is defined and measured by a set of related subdomains. A bifactor… (more)

Subjects/Keywords: Educational tests & measurements; Bi-factor model; Irt; Mirt; Parameter estimate bias

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APA (6th Edition):

Zheng, C. (2013). Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/15103

Chicago Manual of Style (16th Edition):

Zheng, Chunmei. “Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model.” 2013. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/15103.

MLA Handbook (7th Edition):

Zheng, Chunmei. “Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model.” 2013. Web. 22 Feb 2019.

Vancouver:

Zheng C. Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model. [Internet] [Doctoral dissertation]. University of Kansas; 2013. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/15103.

Council of Science Editors:

Zheng C. Examination of the Parameter Estimate Bias When Violating the Orthogonality Assumption of the Bifactor Model. [Doctoral Dissertation]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/15103


University of Kansas

9. Zhao, Fei. Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data.

Degree: PhD, Psychology & Research in Education, 2013, University of Kansas

 The present study evaluates the performance of four noncompensatory cognitive diagnostic models  – AHM, DINA, Fusion, and Bayesian Networks  – using both formative and large-scale… (more)

Subjects/Keywords: Educational tests & measurements; Cognitive diagnostic mathematics assessment; Empirical data; Model comparison; Model fit; Noncompensatory model

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APA (6th Edition):

Zhao, F. (2013). Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/15085

Chicago Manual of Style (16th Edition):

Zhao, Fei. “Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data.” 2013. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/15085.

MLA Handbook (7th Edition):

Zhao, Fei. “Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data.” 2013. Web. 22 Feb 2019.

Vancouver:

Zhao F. Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data. [Internet] [Doctoral dissertation]. University of Kansas; 2013. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/15085.

Council of Science Editors:

Zhao F. Using Noncompensatory Models in Cognitive Diagnostic Mathematics Assessments: An Evaluation Based on Empirical Data. [Doctoral Dissertation]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/15085


University of Kansas

10. Boulton, Aaron Jacob. Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data.

Degree: PhD, Psychology, 2014, University of Kansas

 Continuous-time models are used in many areas of science. However, in psychology and related fields, continuous-time models are often difficult to apply because only a… (more)

Subjects/Keywords: Quantitative psychology and psychometrics; Bayesian Statistics; Continuous Time; Exact Discrete Model; Panel Data

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APA (6th Edition):

Boulton, A. J. (2014). Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/16843

Chicago Manual of Style (16th Edition):

Boulton, Aaron Jacob. “Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data.” 2014. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/16843.

MLA Handbook (7th Edition):

Boulton, Aaron Jacob. “Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data.” 2014. Web. 22 Feb 2019.

Vancouver:

Boulton AJ. Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/16843.

Council of Science Editors:

Boulton AJ. Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data. [Doctoral Dissertation]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/16843

11. Englund, Donald Lavon. A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom.

Degree: PhD, Curriculum and Teaching, 2015, University of Kansas

 Despite a plethora of new approaches in ESL writing and grammar instruction that were introduced in the twentieth century, ESL students and instructors continue to… (more)

Subjects/Keywords: English as a second language; Linguistics; Educational psychology; cognitive linguistics; English prepositions; Gal'perin; sociocultural theory; Vygotsky; word sense

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APA (6th Edition):

Englund, D. L. (2015). A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19502

Chicago Manual of Style (16th Edition):

Englund, Donald Lavon. “A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/19502.

MLA Handbook (7th Edition):

Englund, Donald Lavon. “A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom.” 2015. Web. 22 Feb 2019.

Vancouver:

Englund DL. A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/19502.

Council of Science Editors:

Englund DL. A Blended Cognitive, Linguistic, and Vygotskian Approach for Teaching and Learning the Prepositions in, on, and of in the Advanced ESL Classroom. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19502


University of Kansas

12. Harpole, Jared Kenneth. A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups.

Degree: PhD, Psychology, 2015, University of Kansas

 Multiple-indicator multiple cause (MIMIC) models have become a popular latent variable method to detect differential item functioning (DIF) by practitioners. The ease of including groups… (more)

Subjects/Keywords: Quantitative psychology; Psychology; Educational tests & measurements; Bayesian; Differential Item Functioning; MIMIC Model; Multiple Groups; Psychometrics; Structural Equation Modeling

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APA (6th Edition):

Harpole, J. K. (2015). A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/21697

Chicago Manual of Style (16th Edition):

Harpole, Jared Kenneth. “A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/21697.

MLA Handbook (7th Edition):

Harpole, Jared Kenneth. “A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups.” 2015. Web. 22 Feb 2019.

Vancouver:

Harpole JK. A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/21697.

Council of Science Editors:

Harpole JK. A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/21697


University of Kansas

13. Lee, Jaehoon. Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions.

Degree: PhD, Psychology, 2009, University of Kansas

 Recently, mean and covariance structure (MACS) confirmatory factor analysis (CFA) has been widely used to detect items with differential item functioning (DIF). Although how we… (more)

Subjects/Keywords: Psychology; Psychometrics; Education; Tests and measurements; Biased anchor; Differential item functioning; Mean and covariance structure analysis; Scaling

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APA (6th Edition):

Lee, J. (2009). Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5253

Chicago Manual of Style (16th Edition):

Lee, Jaehoon. “Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions.” 2009. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/5253.

MLA Handbook (7th Edition):

Lee, Jaehoon. “Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions.” 2009. Web. 22 Feb 2019.

Vancouver:

Lee J. Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/5253.

Council of Science Editors:

Lee J. Type I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5253


University of Kansas

14. Staggs, Vincent. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.

Degree: PhD, Psychology, 2009, University of Kansas

 In mixed models, empirical best linear unbiased estimators of fixed effects generally have mean square errors (MSEs) that cannot be written in closed form. Standard… (more)

Subjects/Keywords: Psychology; Psychometrics; Statistics; Bootstrap; Hierarchical linear model; Mixed model; Multilevel model

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APA (6th Edition):

Staggs, V. (2009). Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5513

Chicago Manual of Style (16th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/5513.

MLA Handbook (7th Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Web. 22 Feb 2019.

Vancouver:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/5513.

Council of Science Editors:

Staggs V. Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5513


University of Kansas

15. Im, Suk Keun. The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times.

Degree: PhD, Psychology & Research in Education, 2015, University of Kansas

 Computer-based testing makes it possible to record an examinee’s response time on an item. This information can be an important factor to understand the examinees,… (more)

Subjects/Keywords: Educational psychology; Educational tests & measurements

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APA (6th Edition):

Im, S. K. (2015). The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19527

Chicago Manual of Style (16th Edition):

Im, Suk Keun. “The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/19527.

MLA Handbook (7th Edition):

Im, Suk Keun. “The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times.” 2015. Web. 22 Feb 2019.

Vancouver:

Im SK. The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/19527.

Council of Science Editors:

Im SK. The Hierarchical Testlet Response Time Model: Bayesian analysis of a testlet model for item responses and response times. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19527


University of Kansas

16. Clark, John Michael, III. Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating.

Degree: PhD, Psychology, 2010, University of Kansas

 This dissertation proposes a new factor-analytic technique for detecting cheating on exams. Person-fit statistics have been developed to assess the extent to which examinees' response… (more)

Subjects/Keywords: Quantitative psychology; Aberrant response patterns; Cheating; Factor analysis; Person-fit

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APA (6th Edition):

Clark, John Michael, I. (2010). Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/6943

Chicago Manual of Style (16th Edition):

Clark, John Michael, III. “Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating.” 2010. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/6943.

MLA Handbook (7th Edition):

Clark, John Michael, III. “Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating.” 2010. Web. 22 Feb 2019.

Vancouver:

Clark, John Michael I. Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating. [Internet] [Doctoral dissertation]. University of Kansas; 2010. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/6943.

Council of Science Editors:

Clark, John Michael I. Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating. [Doctoral Dissertation]. University of Kansas; 2010. Available from: http://hdl.handle.net/1808/6943


University of Kansas

17. Fitzpatrick, Joseph. Modeling Panelist Consistency in Bookmark Standard-Setting Studies.

Degree: PhD, Psychology & Research in Education, 2017, University of Kansas

 The purpose of this study is to develop a psychometrics of standard-setting for the Bookmark standard-setting procedure. Using simulated and real data, the error variance… (more)

Subjects/Keywords: Educational tests & measurements; Educational psychology; Bayesian; Bookmark; Standard-setting

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APA (6th Edition):

Fitzpatrick, J. (2017). Modeling Panelist Consistency in Bookmark Standard-Setting Studies. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/26139

Chicago Manual of Style (16th Edition):

Fitzpatrick, Joseph. “Modeling Panelist Consistency in Bookmark Standard-Setting Studies.” 2017. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/26139.

MLA Handbook (7th Edition):

Fitzpatrick, Joseph. “Modeling Panelist Consistency in Bookmark Standard-Setting Studies.” 2017. Web. 22 Feb 2019.

Vancouver:

Fitzpatrick J. Modeling Panelist Consistency in Bookmark Standard-Setting Studies. [Internet] [Doctoral dissertation]. University of Kansas; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/26139.

Council of Science Editors:

Fitzpatrick J. Modeling Panelist Consistency in Bookmark Standard-Setting Studies. [Doctoral Dissertation]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/26139


University of Kansas

18. Brussow, Jennifer. Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF.

Degree: PhD, Psychology & Research in Education, 2018, University of Kansas

 This research explored the effectiveness of using a hierarchical 2-PL item response theory (IRT) model to explain differential item functioning (DIF) according to item-level features.… (more)

Subjects/Keywords: Educational tests & measurements; Educational psychology; Statistics; construct-irrelevant variance; differential item functioning; explanatory item response theory; hierarchical models; item response theory; simulation studies

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APA (6th Edition):

Brussow, J. (2018). Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/27547

Chicago Manual of Style (16th Edition):

Brussow, Jennifer. “Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF.” 2018. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/27547.

MLA Handbook (7th Edition):

Brussow, Jennifer. “Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF.” 2018. Web. 22 Feb 2019.

Vancouver:

Brussow J. Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF. [Internet] [Doctoral dissertation]. University of Kansas; 2018. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/27547.

Council of Science Editors:

Brussow J. Finding Item-Level Causes of Differential Item Functioning: A Hierarchical IRT Model for Explaining DIF. [Doctoral Dissertation]. University of Kansas; 2018. Available from: http://hdl.handle.net/1808/27547


University of Kansas

19. Gu, Fei. Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model.

Degree: PhD, Psychology & Research in Education, 2013, University of Kansas

 In this work, two types of bootstrap methods are used to evaluate the absolute goodness-of-fit for the linear state space model. The first bootstrap is… (more)

Subjects/Keywords: Quantitative psychology; Psychometrics

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APA (6th Edition):

Gu, F. (2013). Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/15100

Chicago Manual of Style (16th Edition):

Gu, Fei. “Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model.” 2013. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/15100.

MLA Handbook (7th Edition):

Gu, Fei. “Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model.” 2013. Web. 22 Feb 2019.

Vancouver:

Gu F. Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model. [Internet] [Doctoral dissertation]. University of Kansas; 2013. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/15100.

Council of Science Editors:

Gu F. Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model. [Doctoral Dissertation]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/15100


University of Kansas

20. Jorgensen, Terrence Dale. Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis.

Degree: PhD, Psychology, 2015, University of Kansas

 I investigated the sampling behavior of DIC and WAIC in the context of selecting an optimal measurement model in Bayesian SEM, as well as the… (more)

Subjects/Keywords: Quantitative psychology and psychometrics; Bayesian; confirmatory factor analysis; differential item functioning; measurement equivalence / invariance; structural equation modeling

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APA (6th Edition):

Jorgensen, T. D. (2015). Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19054

Chicago Manual of Style (16th Edition):

Jorgensen, Terrence Dale. “Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/19054.

MLA Handbook (7th Edition):

Jorgensen, Terrence Dale. “Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis.” 2015. Web. 22 Feb 2019.

Vancouver:

Jorgensen TD. Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/19054.

Council of Science Editors:

Jorgensen TD. Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19054


University of Kansas

21. Garnier-Villarreal, Mauricio. Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model.

Degree: PhD, Psychology, 2016, University of Kansas

 Longitudinal analysis are powerful methods to estimate change over time. The combination of nomothetic and idiographic approaches within longitudinal analysis would allow to answer questions… (more)

Subjects/Keywords: Quantitative psychology; Bayesian; Latent Differential Equation; Mixed-effects

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APA (6th Edition):

Garnier-Villarreal, M. (2016). Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/22394

Chicago Manual of Style (16th Edition):

Garnier-Villarreal, Mauricio. “Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model.” 2016. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/22394.

MLA Handbook (7th Edition):

Garnier-Villarreal, Mauricio. “Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model.” 2016. Web. 22 Feb 2019.

Vancouver:

Garnier-Villarreal M. Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/22394.

Council of Science Editors:

Garnier-Villarreal M. Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/22394


University of Kansas

22. Carter, Kayla Supon. A Psychometric Examination of the School Implementation Scale.

Degree: PhD, Psychology & Research in Education, 2017, University of Kansas

 The purpose of this study is to further enhance the existing reliability and validity evidence related to the School Implementation Scale (SIS) and its use… (more)

Subjects/Keywords: Educational tests & measurements; Educational evaluation; Educational psychology

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APA (6th Edition):

Carter, K. S. (2017). A Psychometric Examination of the School Implementation Scale. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/26085

Chicago Manual of Style (16th Edition):

Carter, Kayla Supon. “A Psychometric Examination of the School Implementation Scale.” 2017. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/26085.

MLA Handbook (7th Edition):

Carter, Kayla Supon. “A Psychometric Examination of the School Implementation Scale.” 2017. Web. 22 Feb 2019.

Vancouver:

Carter KS. A Psychometric Examination of the School Implementation Scale. [Internet] [Doctoral dissertation]. University of Kansas; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/26085.

Council of Science Editors:

Carter KS. A Psychometric Examination of the School Implementation Scale. [Doctoral Dissertation]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/26085

23. Carvajal, Jorge E. The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions.

Degree: PhD, Psychology & Research in Education, 2011, University of Kansas

 The Non-Equivalent groups with Anchor Test equating (NEAT) design is a widely used equating design in large scale testing that involves two groups that do… (more)

Subjects/Keywords: Education; Tests and measurements; Equating; Levine method; Measurement; Standardized testing; Testing; Validity

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APA (6th Edition):

Carvajal, J. E. (2011). The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/7820

Chicago Manual of Style (16th Edition):

Carvajal, Jorge E. “The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions.” 2011. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/7820.

MLA Handbook (7th Edition):

Carvajal, Jorge E. “The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions.” 2011. Web. 22 Feb 2019.

Vancouver:

Carvajal JE. The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/7820.

Council of Science Editors:

Carvajal JE. The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/7820

24. Nash, Brooke L. Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks.

Degree: PhD, Psychology & Research in Education, 2012, University of Kansas

 While significant progress has been made in recent years on technology enabled assessments (TEAs), including assessment systems that incorporate scaffolding into the assessment process, there… (more)

Subjects/Keywords: Educational tests & measurements

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APA (6th Edition):

Nash, B. L. (2012). Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/10013

Chicago Manual of Style (16th Edition):

Nash, Brooke L. “Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks.” 2012. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/10013.

MLA Handbook (7th Edition):

Nash, Brooke L. “Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks.” 2012. Web. 22 Feb 2019.

Vancouver:

Nash BL. Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks. [Internet] [Doctoral dissertation]. University of Kansas; 2012. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/10013.

Council of Science Editors:

Nash BL. Technology Enabled Assessments: An Investigation of Scoring Models for Scaffolded Tasks. [Doctoral Dissertation]. University of Kansas; 2012. Available from: http://hdl.handle.net/1808/10013

25. Md Desa, Zairul Nor Deana. Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification.

Degree: PhD, Psychology & Research in Education, 2012, University of Kansas

 In recent years, there has been increasing interest in estimating and improving subscore reliability. In this study, the multidimensional item response theory (MIRT) and the… (more)

Subjects/Keywords: Educational tests & measurements; Quantitative psychology; Psychometrics; Educational psychology; Bayesian approach; Bi-factor model; Multidimensional item response theory; Subscores reliability

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APA (6th Edition):

Md Desa, Z. N. D. (2012). Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/10126

Chicago Manual of Style (16th Edition):

Md Desa, Zairul Nor Deana. “Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification.” 2012. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/10126.

MLA Handbook (7th Edition):

Md Desa, Zairul Nor Deana. “Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification.” 2012. Web. 22 Feb 2019.

Vancouver:

Md Desa ZND. Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification. [Internet] [Doctoral dissertation]. University of Kansas; 2012. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/10126.

Council of Science Editors:

Md Desa ZND. Bi-factor Multidimensional Item Response Theory Modeling for Subscores Estimation, Reliability, and Classification. [Doctoral Dissertation]. University of Kansas; 2012. Available from: http://hdl.handle.net/1808/10126

26. Carroll, Ian Andrew. MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups.

Degree: MA, Psychology, 2014, University of Kansas

 Multiple indicators multiple causes (MIMIC) models (Joreskog & Golberger 1975) can be employed in a psychometric context to test for differential item functioning (DIF) between… (more)

Subjects/Keywords: Quantitative psychology and psychometrics; Differential Item Functioning; MIMIC Models

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APA (6th Edition):

Carroll, I. A. (2014). MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/18104

Chicago Manual of Style (16th Edition):

Carroll, Ian Andrew. “MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups.” 2014. Masters Thesis, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/18104.

MLA Handbook (7th Edition):

Carroll, Ian Andrew. “MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups.” 2014. Web. 22 Feb 2019.

Vancouver:

Carroll IA. MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups. [Internet] [Masters thesis]. University of Kansas; 2014. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/18104.

Council of Science Editors:

Carroll IA. MIMIC DIF Testing When the Latent Variable Variance Differs Between Groups. [Masters Thesis]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/18104

27. Benson, Eric Robert. PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN.

Degree: PhD, Clinical Child Psychology, 2009, University of Kansas

 The present study examined the associations among key pediatric overweight prevention and intervention variables: body mass index (BMI), physical activity self-efficacy (PASE), physical activity, and… (more)

Subjects/Keywords: Clinical psychology; Developmental psychology; Child health; Pediatric obesity; Physical activity; Self-efficacy

…approved by the University of Kansas Institutional Review Board (IRB) and the Lawrence… …regardless of consent status, would be rewarded with a classroom visit from the University of… …Kansas mascot. Researchers then supplied all fifth and sixth grade classroom teachers with… 

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APA (6th Edition):

Benson, E. R. (2009). PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5967

Chicago Manual of Style (16th Edition):

Benson, Eric Robert. “PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN.” 2009. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/5967.

MLA Handbook (7th Edition):

Benson, Eric Robert. “PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN.” 2009. Web. 22 Feb 2019.

Vancouver:

Benson ER. PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/5967.

Council of Science Editors:

Benson ER. PHYSICAL ACTIVITY AS A MEDIATOR OF THE RELATIONSHIP BETWEEN SELF-EFFICACY AND BODY MASS INDEX IN A NON-CLINICAL SAMPLE OF CHILDREN. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5967

28. Langford, Zachary Denver. Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models.

Degree: MA, Psychology, 2012, University of Kansas

 As the Alzheimer's disease process progresses in time measurements of cognitive functioning exhibit nonlinearity. Multiphase models were used to quantify this nonlinearity for thirty-six well… (more)

Subjects/Keywords: Quantitative psychology; Psychometrics; Alzheimer's disease; Bayesian; Cognition; Multiphase

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APA (6th Edition):

Langford, Z. D. (2012). Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/10865

Chicago Manual of Style (16th Edition):

Langford, Zachary Denver. “Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models.” 2012. Masters Thesis, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/10865.

MLA Handbook (7th Edition):

Langford, Zachary Denver. “Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models.” 2012. Web. 22 Feb 2019.

Vancouver:

Langford ZD. Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models. [Internet] [Masters thesis]. University of Kansas; 2012. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/10865.

Council of Science Editors:

Langford ZD. Patterns of Cognitive Decline in Alzheimer's Dementia: An Application of Hierarchical Bayesian Multiphase Models. [Masters Thesis]. University of Kansas; 2012. Available from: http://hdl.handle.net/1808/10865

29. Pornprasertmanit, Sunthud. The Unified Approach for Model Evaluation in Structural Equation Modeling.

Degree: PhD, Psychology, 2014, University of Kansas

 Practical fit indices have been widely used for model fit evaluation in Structural Equation Modeling. This dissertation discusses the properties of the fit indices including… (more)

Subjects/Keywords: Quantitative psychology and psychometrics; Statistics; model fit; model parsimony; practical fit indices; structural equation modeling

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APA (6th Edition):

Pornprasertmanit, S. (2014). The Unified Approach for Model Evaluation in Structural Equation Modeling. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/16828

Chicago Manual of Style (16th Edition):

Pornprasertmanit, Sunthud. “The Unified Approach for Model Evaluation in Structural Equation Modeling.” 2014. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/16828.

MLA Handbook (7th Edition):

Pornprasertmanit, Sunthud. “The Unified Approach for Model Evaluation in Structural Equation Modeling.” 2014. Web. 22 Feb 2019.

Vancouver:

Pornprasertmanit S. The Unified Approach for Model Evaluation in Structural Equation Modeling. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/16828.

Council of Science Editors:

Pornprasertmanit S. The Unified Approach for Model Evaluation in Structural Equation Modeling. [Doctoral Dissertation]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/16828

30. Jia, Fan. Methods for Handling Missing Non-Normal Data in Structural Equation Modeling.

Degree: PhD, Psychology, 2016, University of Kansas

 Methods for dealing with non-normal data have been broadly discussed in the structural equation modeling (SEM) literature. The issue of how to properly handle normal… (more)

Subjects/Keywords: Quantitative psychology; Bayesian analysis; missing data; multiple imputation; non-normal data; robust procedure; structural equation modeling

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APA (6th Edition):

Jia, F. (2016). Methods for Handling Missing Non-Normal Data in Structural Equation Modeling. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/22401

Chicago Manual of Style (16th Edition):

Jia, Fan. “Methods for Handling Missing Non-Normal Data in Structural Equation Modeling.” 2016. Doctoral Dissertation, University of Kansas. Accessed February 22, 2019. http://hdl.handle.net/1808/22401.

MLA Handbook (7th Edition):

Jia, Fan. “Methods for Handling Missing Non-Normal Data in Structural Equation Modeling.” 2016. Web. 22 Feb 2019.

Vancouver:

Jia F. Methods for Handling Missing Non-Normal Data in Structural Equation Modeling. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1808/22401.

Council of Science Editors:

Jia F. Methods for Handling Missing Non-Normal Data in Structural Equation Modeling. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/22401

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