Quantitative Psychology Commons^™

Strategies And Resources To Enhance Test Evaluation And Selection, Janet F. Carlson, Nancy Anderson

Buros Center: Professional Staff Publications

Testing serves an important function for SLPs in offering an evidence base that is useful in screening, diagnosing, monitoring progress, and documenting outcomes. Tests are used to measure diverse constructs such as communication, literacy, oral and written language, receptive and expressive vocabulary, articulation, phonological awareness and processing, and auditory perception and processing. In addition, specific impairments may require specialized measures to evaluate conditions such as stuttering and orthographic competence.

When using tests to diagnose language impairments, Betz, Eickhoff, and Sullivan (2013) suggest that SLPs consider carefully a test’s psychometric properties, particularly because of the “increasing emphasis on evidence-based practice, specifically, …

Development And Validation Of A State-Based Measure Of Emotion Dysregulation: The State Difficulties In Emotion Regulation Scale (S-Ders), Jason M. Lavender, Matthew T. Tull, David Dilillo, Terri Messman-Moore, Kim L. Gratz

Department of Psychology: Faculty Publications

Existing measures of emotion dysregulation typically assess dispositional tendencies and are therefore not well suited for study designs that require repeated assessments over brief intervals. The aim of this study was to develop and validate a state-based multidimensional measure of emotion dysregulation. Psychometric properties of the State Difficulties in Emotion Regulation Scale (S-DERS) were examined in a large representative community sample of young adult women drawn from four sites (N = 484). Exploratory factor analysis suggested a four-factor solution, with results supporting the internal consistency, construct validity, and predictive validity of the total scale and the four subscales: Nonacceptance (i.e., …

Mixed-Effects Location-Scale Models For Conditionally Normally Distributed Repeated-Measures Data, Ryan Walters

Department of Psychology: Dissertations, Theses, and Student Research

Hypotheses about psychological processes are most frequently dedicated to individual mean differences, but individual differences in variability are likely to be important as well. The mixed-effects location-scale model estimates individual differences in both mean level and variability in a single model, and represents an important advance in testing variability-related hypotheses. However, the mixed-effects location-scale model remains relatively novel to empirical scientists as statistical software is often handicapped by more complex models and a paucity of methodological studies exist examining the statistical properties of this model.

This dissertation investigates the mixed-effects location-scale model through the development of open-source software for its …

A Comparison Of Population-Averaged And Cluster-Specific Approaches In The Context Of Unequal Probabilities Of Selection, Natalie A. Koziol

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Sampling designs of large-scale, federally funded studies are typically complex, involving multiple design features (e.g., clustering, unequal probabilities of selection). Researchers must account for these features in order to obtain unbiased point estimators and make valid inferences about population parameters. Single-level (i.e., population-averaged) and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Single-level methods rely on the use of adjusted variance estimators to account for dependency due to clustering, whereas multilevel methods incorporate the dependency into the specification of the model.

Although the literature comparing single-level and multilevel approaches is vast, comparisons have been limited to the …