The purpose of this study was to examine the psychometric properties of the Self-Efficacy Questionnaire (SEQ), a self-reported questionnaire using Rasch analysis, a one-parameter logistic probability model based on scientific measurement principles. Rasch analysis was completed using the rating scale model. The various analyses allow researchers to examine the item-level psychometric properties of the SEQ, which result in measures that provide evidence for validity, reliability, and sensitivity of the instrument. Rasch analysis demonstrated that the latent trait established by the SEQ, Perceived Self-efficacy (called self-efficacy from here on), was a unidimensional construct that could be measured on a linear scale. The instrument demonstrated sound item-level psychometric properties, including a wide span of item difficulty, along with limited ceiling and no floor effects. Person reliability was good, and the SEQ separated raters into at least three statistically different levels of self-efficacy. These results provide evidence for the SEQ's validity, reliability, and sensitivity. Based on this preliminary analysis, the SEQ demonstrated more than adequate item-level psychometric properties for use, although more research needs to be done. Further, instructors could use the SEQ to give preliminary information on whether or not a class assignment leads to increased self-efficacy in undergraduate and graduate students.
Examining the Item-level Psychometric Properties of the Self-Efficacy Questionnaire (SEQ) for Students in Communication Sciences and Disorders.
Teaching and Learning in Communication Sciences & Disorders, 7(1).