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Bashir, Hilal; Bala, Ranjan – International Journal of Instruction, 2018
The purpose of the study was to develop a scale measuring academic dishonesty of undergraduate students. The sample of the study constitutes nine hundred undergraduate students selected via random sampling technique. After receiving expert's opinions for the face and content validity of the scale, the exploratory factor analysis (EFA) and…
Descriptors: Multidimensional Scaling, Ethics, Behavior Rating Scales, Undergraduate Students
Clem, Jamie M.; Mennicke, Annelise M.; Beasley, Christina – Journal of Social Work Education, 2014
Experiential learning is recommended as a way to increase critical thinking and engagement, enhance theory-informed practice, increase preparedness, and improve multicultural understanding for students involved in social work education. The purpose of this study is to validate the Experiential Learning Survey (ELS), which measures students'…
Descriptors: Experiential Learning, Psychometrics, Test Construction, Program Validation
Dik, Bryan J.; Eldridge, Brandy M.; Steger, Michael F.; Duffy, Ryan D. – Journal of Career Assessment, 2012
Research on work as a calling is limited by measurement concerns. In response, the authors introduce the multidimensional Calling and Vocation Questionnaire (CVQ) and the Brief Calling scale (BCS), instruments assessing presence of, and search for, a calling. Study 1 describes CVQ development using exploratory and confirmatory factor analysis…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Validity, Test Reliability
Hansen, Jo-Ida C.; Scullard, Mark G. – Journal of Counseling Psychology, 2002
This study provides evidence of reliability and validity for the Leisure Interest Questionnaire (LIQ; J. C. Hansen, 1998). Undergraduate students completed the LIQ and Strong Interest Inventory (SII; E. K. Strong Jr., 1927) at Time 1 and the LIQ 5 weeks later. The internal consistency and test-retest reliability of the LIQ scales were calculated.…
Descriptors: Undergraduate Students, Psychometrics, Predictive Validity, Multidimensional Scaling

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