The Applied Psychometric Strategies lab provides a series of presentations on a range of quantitative and psychometric topics titled: “Applied Quantitative and Psychometric Series (AQPS). Events are open and anyone interested in our research is invited to attend. If you are interested in presenting on a topic, please contact Michael Toland.

Upcoming Events

Fall, 2017

Presentation 1: Regression Discontinuity

Dr. Joseph Waddington
Tuesday, October 3, 1:30 – 3:00 pm
Dickey Hall 109

This presentation focused on the theory, design, and implementation of regression discontinuity (RDD). RDD is one of the most powerful tools in the suite of quasi-experimental methods used to capture causal effects of programs and policies. During the presentation, we will discuss and work through a relevant example (data/syntax/output) of the implementation of RDD in the education literature from the following paper: Angrist, J. & Lavy, V. (1999). Using Maimonides’ Rule to estimate the effect of class size on scholastic achievement. The Quarterly Journal of Economics, 114(2), 533-575.

Regression Discontinuity Handout (PDF)

Stata files for talk – RDD  (zip file)

Regression Discontinuity Video

Presentation 2: Latent Class Analysis

Caihong Li (Doctoral Candidate, Quantitative and Psychometric Methods)
Tuesday, November 7, 12:30 – 1:30 pm
Dickey Hall 109

This presentation introduced Latent Class Analysis (LCA) and its implementation in Mplus. LCA, a latent variable modeling approach, is used to classify people into groups that are similar on unobserved constructs, based on their response patterns. In LCA, group membership is unseen and is indicated by observed variables. LCA is a model-based approach and thus the results from LCA can be replicated in other samples. LCA provides researchers valuable insights into the various types of respondents and how to better construct future intervention strategies targeting different types of respondents. During the presentation, we talked about the overview of LCA and learned how to conduct LCA in Mplus step-by-step through an example (data/syntax/output)

Latent Class Analysis in Mplus (Powerpoint)

LCA Example Data (zip file)

Latent Class Analysis Video


Presentation 3: Power Analysis

Hao Zhou

David Dueber
Tuesday, February 6, 12:30 – 1:30 pm
Dickey Hall 109

Power Analysis Talk (Powerpoint)


Presentation 4: How to Choose an Instrument for My Research Study

Abbey Love

Danielle Rosenkrantz
Tuesday, March 20, 12:30 – 1:30 pm
Dickey Hall 109

This presentation will be an application-focused talk about 1.) How to determine if an existing scale should be used, and 2.) How to develop an scale to measure a psychological construct when a psychometrically sound scale is not available. The first half of the talk will provide advice on where to find scales and how to determine if reliability and validity evidence is acceptable. The second part of the presentation will focus on the steps needed to develop an scale, should you find this is necessary. We will discuss measurement issues that arise from scales with weak psychometric evidence and suggest best practices in scale development.

How to Choose An Instrument Video

How to Choose an Instrument (Powerpoint)

Presentation 5: Managing Measurement Error in Regression Analysis

Danielle Rosenkrantz

David Dueber
Tuesday, April 3, 12:30 – 1:30 pm
Dickey Hall 109

This presentation focused on the pernicious effects of measurement error and techniques for correcting and accounting for measurement error, with special emphasis on censoring.

Managing Measurement Error Video

Advanced Issues in Measurement Error Video

Managing Measurement Error (Powerpoint)

MeasErrorTalkAnalyses (zip file)

SILV Estimation Advanced (Powerpoint)

SILV_Estimation_Advanced (zip file)

Past Events


Presentation 1: Introduction to Mplus

Intro to Mplus Video

Intro to Mplus Handout – (Powerpoint)

Intro to Mplus Data Files – (zip file)

David M. Dueber, MA (Doctoral student, STEM education)

This presentation focuses on how to get your data ready for use in Mplus, conduct basic descriptive analyses, and the commands available in Mplus for estimating basic correlations and regression models.

October 4, 2016
2:00-3:00 pm
Taylor Education Building 122

Presentation 2: Bifactor Analysis in Mplus

Bifactor Analysis in Mplus Video

Bifactor Analysis in Mplus Handout– (Powerpoint)

Bifactor Analysis in Mplus Data Files – (zip file)

A tool to calculate ancillary indices for bifactor models (e.g., ECV, IECV, PUC, Omega, OmegaH, Relative Omega, H, Absolute Relative Bias, FD) go to ‘Resources’.

Joseph H. Hammer, PhD

Michael D. Toland, PhD

This presentation introduces the bifactor confirmatory factor analysis (CFA) model: what it is, when to use it, how to run it in Mplus, and how to use follow-up Explained Common Variance and Omega coefficients to answer questions about the internal structure and reliability of multidimensional scales/instruments used in research.

November 1, 2016
3:00-4:00 pm
Taylor Education Building 122

Presentation 3: Measurement Invariance for Categorical Indicators in Mplus

Measurement Invariance with Categorical Indicators in Mplus Video

Measurement Invariance with Categorical Indicators in Mplus Handout – (Powerpoint)

Measurement Invariance with Categorical Indicators in Mplus Data Files – (zip file)

Caroline Gooden, PhD

Zijia Li, PhD

This presentation focused on what is and how to conduct a measurement invariance analysis for categorical items within a confirmatory factor analysis framework in Mplus.

December 6, 2016
2:00-3:00 pm
Taylor Education Building 122

Presentation 4: Missing Data Handling with Mplus

Missing Data Handling with Mplus Video

Missing Data Handling with Mplus Handout – (Powerpoint)

Missing Data Handling with Mplus Data Files – (Zip file)

James L. Peugh, PhD

This presentation focused on how to handle missing data for Four SEM-Based Analyses (Categorical CFA with Covariate (MIMIC Model), Moderated Mediation (MacArthur Method), SEM with a Latent Variable Interaction Term, and Multilevel ANCOVA SEM.

March 1st
12:30 – 2 pm
109 Dickey Hall

Presentation 5: Mediation Analysis and More

Mediation Analysis and More Video.

Mediation, Moderation, and Measurement Error, oh My! (Powerpoint)

Mediation Data and Analysis (zip file)

Moderation Data and Analysis (zip file)

David M. Dueber, MA

This presentation will focus on modern mediation concepts and analysis in Mplus including Structural Equation Modeling (SEM) methods to account for measurement error.

May 2, 2017
12:00 – 1:30 pm
Taylor Education Building 236B

“Instructional Guide to Applying an Item Response Analysis”

Abbey Love

“Introduction to Thurstonian Item Response Analysis”

Abbey Love

“Introduction to General Growth Mixture Modeling”

Trisha Turner

“Instructional Guide to Logistic Regression and Discriminant Analysis”

Caihong Li