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You are viewing titles for UNIVERSITY OF MARYLAND COLLEGE PARK in the Quantitative psychology and psychometrics available through the UMI Dissertations & Thesis Gradwoorks site
 
Questioning the validity of the IAT: Is it knowledge or attitude?
Assessment of social competence and problem behavior: The psychometric properties of a social competency rating form
 
Planning for career and family: An instrument development study
 Evaluation of a culturally inclusive model of sexual minority identity formation
 
An instrument development study of men's planning for career and family: Contributions of parental attachment and gender role conflict
The Emotion Comprehension Test: Selected psychometric properties of a new measure of emotion understanding for preschoolers
 
Predicting success in the Montgomery County Pre-Release Center: The actuarial efficacy of the Selection Suitability Scale
 Investigating differential item function amplification and cancellation in application of item response testlet models
 
Measuring wishful thinking: The development and validation of a new scale
 Multidimensionality in the NAEP Science Assessment: Substantive perspectives, psychometric models, and task design
 
The multidimensional generalized graded unfolding model for assessment of change across repeated measures
 Challenges and resilience in the lives of multiracial adults: The development and validation of a measure
 
Distress tolerance treatment for inner-city drug users: A preliminary trial
 Investigating the role of personality in (sport) consumer behavior
 
Testing for differentially functioning indicators using mixtures of confirmatory factor analysis models
 Finite mixture model specifications accommodating treatment nonresponse in experimental research
 
Detecting local item dependence in polytomous adaptive data
 Using latent profile models and unstructured growth mixture models to assess the number of latent classes in growth mixture modeling
 
Effects of unmodeled latent classes on multilevel growth mixture estimation in value-added modeling
 Randomization-based inference about latent variables from complex samples: The case of two-stage sampling