Bridging Advanced Quantitative Methods and Applied Research in the Behavioral, Social and Health Sciences

BRIDGING ADVANCED QUANTITATIVE METHODS WITH APPLIED RESEARCH IN THE BEHAVORIAL, SOCIAL & HEALTH SCIENCES

Training

We currently offer workshops on Multilevel Modeling, Structural Equation Modeling, Structural Equation Models for Longitudinal Data, Mixture Models and Cluster Analysis, and Network Analysis. We also provide individually tailored instruction to groups with specific data analytic needs.

Consulting

We provide consulting services on each phase of the research process, from study design to the application and interpretation of quantitative methods. We offer several modes of consulting to suit a variety of needs.

Informing

We seek to provide you with the information and resources you need to be a knowledgeable user of quantitative methods, including tutorials on commonly used techniques, software demonstrations, discussion of common data analytic concerns, and updates on ongoing developments.

LATEST NEWS

The Cronbach’s Alphas for all the scales in my path analysis are in the .7s, so why is a reviewer criticizing me for not paying sufficient attention to reliability?

December 21, 2019

The issue of reliability can be a complex and often misunderstood issue. Entire text books have been written about reliability, validity, and scale construction, so we only briefly touch on the key issues here (see Bandalos, 2018, for an excellent recent example). To begin, in most areas across the behavioral, educational, and health sciences, theoretical constructs are hypothesized to exist yet cannot be directly measured. Common examples include depression, anxiety, academic motivation, commitment to treatment, and perceived stress. A vast array of psychometric methods have been developed over the past century to use multi-item scales as a basis to infer the existence of these underlying constructs. Indeed, the genesis of factor analysis (most commonly dated to Spearman in 1903) was motivated by the desire to use multi-test assessments to compute person-specific values of cognitive functioning. Psychometric methods are sometimes organized into pragmatic approaches (e.g., Classical Test Theory) and axiomatic approaches (e.g., item response theory and factor analysis). However, a fundamental component of all of these methods is reliability.

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