The scientist’s investigation covers issues in Statistics, Measurement invariance, Structural equation modeling, Psychometrics and Factorial invariance. The Statistics study combines topics in areas such as Extension, Econometrics and Identification. His Measurement invariance research integrates issues from Exponential family and Analisis factorial.
His research integrates issues of Social relation and Applied mathematics in his study of Structural equation modeling. His studies deal with areas such as Research design and Test bias as well as Psychometrics. He interconnects Variable, Test validity, Item response theory and Latent variable in the investigation of issues within Test bias.
His primary scientific interests are in Statistics, Developmental psychology, Measurement invariance, Psychometrics and Econometrics. Many of his research projects under Statistics are closely connected to Invariant with Invariant, tying the diverse disciplines of science together. His Developmental psychology study incorporates themes from Structural equation modeling, Mental health and Intervention.
His work deals with themes such as Analisis factorial, Calculus and Alexithymia, which intersect with Measurement invariance. In his research on the topic of Psychometrics, Uniqueness is strongly related with Confirmatory factor analysis. He combines subjects such as Goodness of fit, Statistical inference and Categorical variable with his study of Econometrics.
Measurement invariance, Developmental psychology, Statistics, Intervention and Mexican americans are his primary areas of study. His Measurement invariance research includes themes of Wald test, Latent variable, Factorial invariance, Item response theory and Applied mathematics. The concepts of his Latent variable study are interwoven with issues in Categorical variable, OpenMx, Psychometrics and Econometrics.
His Developmental psychology research incorporates themes from Factor structure, Social psychology and Logical reasoning. His Bootstrapping, Multivariate normal distribution and Statistical hypothesis testing study in the realm of Statistics connects with subjects such as Empirical data and Reference variable. His Intervention course of study focuses on Clinical psychology and Depression and Mental health.
His primary areas of study are Statistics, Measurement invariance, Factorial invariance, Clinical psychology and Family therapy. His research in the fields of Latent variable model overlaps with other disciplines such as Fractional factorial design. Roger E. Millsap studied Measurement invariance and Latent variable that intersect with Variable, Item response theory, Test bias and Confirmatory factor analysis.
His Factorial invariance research is multidisciplinary, incorporating perspectives in Multiple comparisons problem and Statistical hypothesis testing. He focuses mostly in the field of Clinical psychology, narrowing it down to topics relating to Intervention and, in certain cases, Inclusion. In his work, Mental health and Young adult is strongly intertwined with Substance abuse, which is a subfield of Family therapy.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Statistical Approaches to Measurement Invariance
Roger Ellis Millsap.
Assessing Factorial Invariance in Ordered-Categorical Measures
Roger E. Millsap;Jenn Yun-Tein.
Multivariate Behavioral Research (2004)
APPLICANT REACTIONS TO SELECTION PROCEDURES
James W. Smither;Richard R. Reilly;Roger E. Millsap;Kenneth Pearlman At T.
Personnel Psychology (2006)
Evaluating the impact of partial factorial invariance on selection in two populations.
Roger E. Millsap;Oi-Man Kwok.
Psychological Methods (2004)
Doing the Four-Step Right
Stanley A. Mulaik;Roger E. Millsap.
Structural Equation Modeling (2000)
Six-year follow-up of preventive interventions for children of divorce: a randomized controlled trial.
Sharlene A. Wolchik;Irwin N. Sandler;Roger E. Millsap;Brett A. Plummer.
On the misuse of manifest variables in the detection of measurement bias
William Meredith;Roger E. Millsap.
Early Puberty and Adolescent Pregnancy: The Influence of Alcohol Use
Julianna Deardorff;Nancy A. Gonzales;F. Scott Christopher;Mark W. Roosa.
Rationale and Construct Validity Evidence for the Job Search Behavior index: Because intentions (and New Year's Resolutions) Often Come to Naught
Richard E Kopelman;Janet L Rovenpor;Roger E Millsap.
Journal of Vocational Behavior (1992)
Detecting Violations of Factorial Invariance Using Data-Based Specification Searches: A Monte Carlo Study
Myeongsun Yoon;Roger E. Millsap.
Structural Equation Modeling (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: