Assessment literacy is an essential competency area for professional counselors who administer tests and interpret the results of participants' scores. Using factor analysis to demonstrate internal structure validity of test scores is a key element of assessment literacy. The underuse of psychometrically sound instrumentation in professional…

When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…

Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…

The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…

India is the second largest higher education network in the world, where the business environment is highly complex and competitive. So, what we need is an element of distinctiveness in our institutions of higher learning. A modification is required in the way these institutions are being run and supervised. A workable solution for managing and…

Developed as an integral component of many higher education programs, internships provide a multitude of benefits for participating students. However, there is a lack of tools designed to measure internship-related learning outcomes. Therefore, this article will present the process of constructing and validating a scale that can be used to…

The Political Identity and Relational Impact Scale (PIRI) is a self-report scale of personal and relational responses to political conflict. This article describes the development and exploratory factor analysis of the scale. The selected model consists of 30 items and a four-factor structure with high internal consistency.

The research and practice of social scientists who work in a myriad of different specialty areas involve developing and validating scores on instruments as well as evaluating the psychometric properties of existing instrumentation for use with research participants. In this article, the author introduces The MEASURE Approach to instrument…

Many psychometric measures yield data that are compatible with (a) an essentially unidimensional factor analysis solution and (b) a correlated-factor solution. Deciding which of these structures is the most appropriate and useful is of considerable importance, and various procedures have been proposed to help in this decision. The only fully…

This article addresses conceptual and methodological shortcomings regarding conducting and interpreting intelligence test factor analytic research that appeared in the Decker, S. L., Bridges, R. M., Luedke, J. C., & Eason, M. J. (2020). Dimensional evaluation of cognitive measures: Methodological confounds and theoretical concerns.…

Resistant behaviors in multicultural courses are a common dilemma within counselor education. On the basis of psychological reactance theory (J. W. Brehm, 1966), the authors created a multicultural training reactance scale to measure the construct. Exploratory factor analysis and initial reliability and validity data are presented, followed by…

American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…

Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…

Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making…

Socioscientific issues, issues that center on the intersection between scientific and social problems in real-world contexts, are valuable tools to use in science instruction due to their association with gains in scientific literacy, argumentation skills, and content knowledge. However, due to their complex nature, crafting instruction using…