The goal for any social scientist conducting a survey is to develop a rating on some attitude, value or opinion - a summated rating scale. Aimed at helping researchers construct more effective scales, Spector shows how to determine the number of items necessary, the appropriate amount of response categories and the most productive wording of items. The author discusses how to sort good items from bad (including item-remainder coefficients and Cronbach's alpha) and how to validate a scale, including dimensional validity from factor analysis. User-friendly, the book concludes with a step-by-step account of how to develop a summated rating scale based on classical test theory.
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Paul E. Spector is a distinguished professor of industrial/organizational (I/O) psychology and I/O doctoral program director at the University of South Florida. He is also director of the NIOSH funded Sunshine Education and Research Center′s Occupational Health Psychology doctoral program. He is the Associate Editor for Point/Counterpoint for Journal of Organizational Behavior, Associate Editor for Work & Stress, and is on the editorial boards of Journal of Applied Psychology and Human Resources Management Review.
He has research interests in both content and research methodology. His content research concerns occupational health and safety, including injuries, stress and workplace violence. His methodology interests involve the connections among measurement, statistics, and inference. He has published four books with SAGE: Job Satisfaction: Applications, Assessment, Causes and Consequences, Research Designs, SAS 8 Programming for Researchers and Social Scientists, and Summated Rating Scale Construction.
The goal for any social scientist conducting a survey is to develop a rating on some attitude, value or opinion - a summated rating scale. Aimed at helping researchers construct more effective scales, Spector shows how to determine the number of items necessary, the appropriate amount of response categories and the most productive wording of items. The author discusses how to sort good items from bad (including item-remainder coefficients and Cronbach's alpha) and how to validate a scale, including dimensional validity from factor analysis. User-friendly, the book concludes with a step-by-step account of how to develop a summated rating scale based on classical test theory.
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