Guidelines for Analyzing Rating Scale Data Using Rasch Measurement Theory in Counseling Research

Questionnaires and surveys used to measure psychological constructs in counseling research often rely on rating scales, such as Likert responses. Rasch measurement models are suitable for developing scales to evaluate constructs, and to generate evidence to support valid interpretations and inferences. The philosophical foundations of Rasch measurement theory are straightforward, and its statistical modeling is accessible to researchers and practitioners without extensive quantitative training. This paper provides practical guidelines for constructing sound measures in counseling research and addresses two key questions for rating scale analysis: (a) How should a suitable Rasch model be selected for rating data? and (b) What should be reported from a Rasch-based rating scale analysis? A flowchart is provided to guide model selection, and key indicators for effective reporting are summarized. An analysis of a depression scale is used for illustrating empirical rating scale structures. Implications of using Rasch measurement models in counseling research are discussed.