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University of Kansas

1. McCune, Luke A. A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling.

Degree: MA, Psychology, 2014, University of Kansas

URL: http://hdl.handle.net/1808/16867

► Longitudinal planned missing, represented in the literature by the time-lag model (McArdle&Woodcock, 1997) and the cohort sequential design (Nesselroade&Baltes, 1979), has been thus far restricted…
(more)

Subjects/Keywords: Quantitative psychology and psychometrics; Statistics; accelerated longitudinal; cohort sequential; longitudinal; planned missing; simulation

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

APA (6^{th} Edition):

McCune, L. A. (2014). A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/16867

Chicago Manual of Style (16^{th} Edition):

McCune, Luke A. “A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling.” 2014. Masters Thesis, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/16867.

MLA Handbook (7^{th} Edition):

McCune, Luke A. “A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling.” 2014. Web. 15 Feb 2019.

Vancouver:

McCune LA. A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling. [Internet] [Masters thesis]. University of Kansas; 2014. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/16867.

Council of Science Editors:

McCune LA. A Proof-of-Concept Simulation of the Accelerated Longitudinal Planned Missing Design for Latent Panel Modeling. [Masters Thesis]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/16867

University of Kansas

2. Shaw, Leslie A. THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS.

Degree: MA, Psychology, 2015, University of Kansas

URL: http://hdl.handle.net/1808/19547

► Prior studies have shown that analyzing a continuous time panel model with the Exact Discrete Model (EDM) is less biased and more efficient than approximate…
(more)

Subjects/Keywords: Quantitative psychology; bias; continuous time; differential equations; efficiency; measurement error; panel model

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APA (6^{th} Edition):

Shaw, L. A. (2015). THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/19547

Chicago Manual of Style (16^{th} Edition):

Shaw, Leslie A. “THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS.” 2015. Masters Thesis, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/19547.

MLA Handbook (7^{th} Edition):

Shaw, Leslie A. “THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS.” 2015. Web. 15 Feb 2019.

Vancouver:

Shaw LA. THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS. [Internet] [Masters thesis]. University of Kansas; 2015. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/19547.

Council of Science Editors:

Shaw LA. THE IMPACT OF MEASUREMENT ERROR ON CONTINUOUS TIME PANEL MODELS. [Masters Thesis]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19547

University of Kansas

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

Degree: PhD, Psychology, 2015, University of Kansas

URL: http://hdl.handle.net/1808/19062

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

APA (6^{th} 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 (16^{th} Edition):

Lang, Kyle Matthew. “MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net.” 2015. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/19062.

MLA Handbook (7^{th} Edition):

Lang, Kyle Matthew. “MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net.” 2015. Web. 15 Feb 2019.

Vancouver:

Lang KM. MIBEN: Robust Multiple Imputation with the Bayesian Elastic Net. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2019 Feb 15]. 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

4. Shaw, Leslie A. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.

Degree: PhD, Psychology, 2017, University of Kansas

URL: http://hdl.handle.net/1808/26026

► One assumption in regression-based models is that no theoretically important variables have been omitted from the model. Provided an omitted variable has a strong effect…
(more)

Subjects/Keywords: Quantitative psychology; bias; exact discrete model; omitted variables; robust

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

APA (6^{th} Edition):

Shaw, L. A. (2017). The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/26026

Chicago Manual of Style (16^{th} Edition):

Shaw, Leslie A. “The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.” 2017. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/26026.

MLA Handbook (7^{th} Edition):

Shaw, Leslie A. “The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model.” 2017. Web. 15 Feb 2019.

Vancouver:

Shaw LA. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. [Internet] [Doctoral dissertation]. University of Kansas; 2017. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/26026.

Council of Science Editors:

Shaw LA. The Role of Omitted Variables in Estimates for a Continuous Time Cross-Lag Panel Model. [Doctoral Dissertation]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/26026

University of Kansas

5. Selig, James Patrick. Where has the time gone? The role of time lags in models for longitudinal data.

Degree: PhD, Psychology, 2009, University of Kansas

URL: http://hdl.handle.net/1808/5546

► The purpose of this dissertation is to draw attention to a long neglected, yet very important issue in the statistical modeling of longitudinal data. The…
(more)

Subjects/Keywords: Psychology; Lags; Longitudinal

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APA (6^{th} Edition):

Selig, J. P. (2009). Where has the time gone? The role of time lags in models for longitudinal data. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5546

Chicago Manual of Style (16^{th} Edition):

Selig, James Patrick. “Where has the time gone? The role of time lags in models for longitudinal data.” 2009. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/5546.

MLA Handbook (7^{th} Edition):

Selig, James Patrick. “Where has the time gone? The role of time lags in models for longitudinal data.” 2009. Web. 15 Feb 2019.

Vancouver:

Selig JP. Where has the time gone? The role of time lags in models for longitudinal data. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/5546.

Council of Science Editors:

Selig JP. Where has the time gone? The role of time lags in models for longitudinal data. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5546

University of Kansas

6. Lee, Ihno Ann. Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day.

Degree: PhD, Psychology, 2011, University of Kansas

URL: http://hdl.handle.net/1808/8158

► Positive and negative moods fluctuate systematically during our waking hours and throughout the course of a week; however, the mechanisms underlying these changes have not…
(more)

Subjects/Keywords: Social psychology; Quantitative psychology; Psychometrics; Affect; Entrainment; Mood fluctuation; Nonlinear change; Temporal influences

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APA (6^{th} Edition):

Lee, I. A. (2011). Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/8158

Chicago Manual of Style (16^{th} Edition):

Lee, Ihno Ann. “Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day.” 2011. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/8158.

MLA Handbook (7^{th} Edition):

Lee, Ihno Ann. “Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day.” 2011. Web. 15 Feb 2019.

Vancouver:

Lee IA. Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/8158.

Council of Science Editors:

Lee IA. Temporal Mechanisms Underlying Systematic Mood Fluctuation: Re-evaluating Time and Day. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/8158

University of Kansas

7. Fall, Emily C. Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies.

Degree: PhD, Psychology, 2011, University of Kansas

URL: http://hdl.handle.net/1808/9787

► The heterogeneity implicit in much of social science research can be accommodated by using complex modeling procedures such as SEM or MLM. Ignoring heterogeneity, particularly…
(more)

Subjects/Keywords: Quantitative psychology; Psychometrics; Cross-lagged panel model; Longitudinal modeling; Mediation; Multilevel structural equation modeling

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

APA (6^{th} Edition):

Fall, E. C. (2011). Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/9787

Chicago Manual of Style (16^{th} Edition):

Fall, Emily C. “Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies.” 2011. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/9787.

MLA Handbook (7^{th} Edition):

Fall, Emily C. “Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies.” 2011. Web. 15 Feb 2019.

Vancouver:

Fall EC. Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/9787.

Council of Science Editors:

Fall EC. Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/9787

University of Kansas

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

Degree: PhD, Psychology, 2014, University of Kansas

URL: http://hdl.handle.net/1808/16843

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

APA (6^{th} 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 (16^{th} Edition):

Boulton, Aaron Jacob. “Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data.” 2014. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/16843.

MLA Handbook (7^{th} Edition):

Boulton, Aaron Jacob. “Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data.” 2014. Web. 15 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 15]. 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

University of Kansas

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

Degree: PhD, Psychology, 2015, University of Kansas

URL: http://hdl.handle.net/1808/21697

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

APA (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/21697.

MLA Handbook (7^{th} Edition):

Harpole, Jared Kenneth. “A Bayesian MIMIC Model for Testing Non-uniform DIF in Two and Three Groups.” 2015. Web. 15 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 15]. 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

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

Degree: PhD, Psychology, 2009, University of Kansas

URL: http://hdl.handle.net/1808/5513

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/5513.

MLA Handbook (7^{th} Edition):

Staggs, Vincent. “Parametric Bootstrap Interval Approach to Inference for Fixed Effects in the Mixed Linear Model.” 2009. Web. 15 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 15]. 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

11. 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

URL: http://hdl.handle.net/1808/6943

► 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 (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/6943.

MLA Handbook (7^{th} Edition):

Clark, John Michael, III. “Aberrant Response Patterns as a Multidimensional Phenomenon: Using Factor-Analytic Model Comparison to Detect Cheating.” 2010. Web. 15 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 15]. 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

12. 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

URL: http://hdl.handle.net/1808/15100

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/15100.

MLA Handbook (7^{th} Edition):

Gu, Fei. “Using Parametric and Residual-based Bootstrap to Assess the Absolute Goodness-of-fit for State Space Model.” 2013. Web. 15 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 15]. 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

13. 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

URL: http://hdl.handle.net/1808/19054

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/19054.

MLA Handbook (7^{th} Edition):

Jorgensen, Terrence Dale. “Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis.” 2015. Web. 15 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 15]. 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

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

Degree: PhD, Psychology, 2016, University of Kansas

URL: http://hdl.handle.net/1808/22394

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 15, 2019. http://hdl.handle.net/1808/22394.

MLA Handbook (7^{th} Edition):

Garnier-Villarreal, Mauricio. “Intra and Interindividual Variation Modeling: Bayesian Mixed-Effects Nonstationary Latent Differential Equation Model.” 2016. Web. 15 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 15]. 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

15. Short, Stephen David. Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance.

Degree: PhD, Psychology, 2014, University of Kansas

URL: http://hdl.handle.net/1808/14570

► Measurement invariance testing with confirmatory factor analysis has a long history in social science research, and more recently has increased use and popularity. The current…
(more)

Subjects/Keywords: Quantitative psychology; Psychometrics; Factor analysis; Invariance; Longitudinal; Model fit; Power

Record Details Similar Records

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APA (6^{th} Edition):

Short, S. D. (2014). Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/14570

Chicago Manual of Style (16^{th} Edition):

Short, Stephen David. “Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance.” 2014. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/14570.

MLA Handbook (7^{th} Edition):

Short, Stephen David. “Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance.” 2014. Web. 15 Feb 2019.

Vancouver:

Short SD. Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/14570.

Council of Science Editors:

Short SD. Power of Alternative Fit Indices for Multiple Group Longitudinal Tests of Measurement Invariance. [Doctoral Dissertation]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/14570

16. Harpole, Jared Kenneth. How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation.

Degree: MA, Psychology, 2013, University of Kansas

URL: http://hdl.handle.net/1808/11725

► Exploratory data analysis (EDA) is important, yet often overlooked in the social and behavioral sciences. Graphical analysis of one's data is central to EDA. A…
(more)

Subjects/Keywords: Quantitative psychology; Psychometrics; Statistics; Bandwidth selection; Exploratory data analysis; Graphical analysis; Kernel density estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Harpole, J. K. (2013). How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/11725

Chicago Manual of Style (16^{th} Edition):

Harpole, Jared Kenneth. “How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation.” 2013. Masters Thesis, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/11725.

MLA Handbook (7^{th} Edition):

Harpole, Jared Kenneth. “How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation.” 2013. Web. 15 Feb 2019.

Vancouver:

Harpole JK. How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation. [Internet] [Masters thesis]. University of Kansas; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/11725.

Council of Science Editors:

Harpole JK. How Bandwidth Selection Algorithms Impact Exploratory Data Analysis Using Kernel Density Estimation. [Masters Thesis]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/11725

17. Pressman, Mindy. Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise.

Degree: MA, Psychology, 2013, University of Kansas

URL: http://hdl.handle.net/1808/14204

► The current study examined the ability of inter- and intra-individual characteristics to predict the likelihood and duration of exercise as well as mood. One hundred…
(more)

Subjects/Keywords: Psychology; Exercise; Hostility; Sleep

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

APA (6^{th} Edition):

Pressman, M. (2013). Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/14204

Chicago Manual of Style (16^{th} Edition):

Pressman, Mindy. “Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise.” 2013. Masters Thesis, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/14204.

MLA Handbook (7^{th} Edition):

Pressman, Mindy. “Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise.” 2013. Web. 15 Feb 2019.

Vancouver:

Pressman M. Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise. [Internet] [Masters thesis]. University of Kansas; 2013. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/14204.

Council of Science Editors:

Pressman M. Who Exercises and When? The Effects of Intra- and Inter-Individual Variation on the Likelihood and Duration of Exercise. [Masters Thesis]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/14204

18. Wang, Mian. Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test.

Degree: PhD, Psychology, 2016, University of Kansas

URL: http://hdl.handle.net/1808/22484

► The use of longitudinal data for studying cross-time changes is built on the key assumption that properties (e.g., slopes and intercepts) of the repeatedly-used items…
(more)

Subjects/Keywords: Quantitative psychology; bifactor; differential item functioning; longitudinal data; measurement invariance; wald test

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, M. (2016). Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/22484

Chicago Manual of Style (16^{th} Edition):

Wang, Mian. “Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test.” 2016. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/22484.

MLA Handbook (7^{th} Edition):

Wang, Mian. “Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test.” 2016. Web. 15 Feb 2019.

Vancouver:

Wang M. Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/22484.

Council of Science Editors:

Wang M. Longitudinal Differential Item Functioning Detection Using Bifactor Models and the Wald Test. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/22484

19. Martin, David Matthew. Mindfulness and Attachment Security as Predictors of Sucess in Therapy.

Degree: PhD, Counseling Psychology, 2012, University of Kansas

URL: http://hdl.handle.net/1808/10127

► This work focuses on the role of mindfulness and attachment security as agents of change in successful therapy. Two studies were conducted to investigate the…
(more)

Subjects/Keywords: Counseling psychology; Social psychology; Attachment security; Mindfulness; Psychotherapy

Record Details Similar Records

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

APA (6^{th} Edition):

Martin, D. M. (2012). Mindfulness and Attachment Security as Predictors of Sucess in Therapy. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/10127

Chicago Manual of Style (16^{th} Edition):

Martin, David Matthew. “Mindfulness and Attachment Security as Predictors of Sucess in Therapy.” 2012. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/10127.

MLA Handbook (7^{th} Edition):

Martin, David Matthew. “Mindfulness and Attachment Security as Predictors of Sucess in Therapy.” 2012. Web. 15 Feb 2019.

Vancouver:

Martin DM. Mindfulness and Attachment Security as Predictors of Sucess in Therapy. [Internet] [Doctoral dissertation]. University of Kansas; 2012. [cited 2019 Feb 15]. Available from: http://hdl.handle.net/1808/10127.

Council of Science Editors:

Martin DM. Mindfulness and Attachment Security as Predictors of Sucess in Therapy. [Doctoral Dissertation]. University of Kansas; 2012. Available from: http://hdl.handle.net/1808/10127

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

Degree: PhD, Psychology, 2014, University of Kansas

URL: http://hdl.handle.net/1808/16828

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Pornprasertmanit, Sunthud. “The Unified Approach for Model Evaluation in Structural Equation Modeling.” 2014. Doctoral Dissertation, University of Kansas. Accessed February 15, 2019. http://hdl.handle.net/1808/16828.

MLA Handbook (7^{th} Edition):

Pornprasertmanit, Sunthud. “The Unified Approach for Model Evaluation in Structural Equation Modeling.” 2014. Web. 15 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 15]. 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