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Description - Research Designs by Paul E. Spector

Research Designs is a clear, compact introduction to the principles of experimental and non-experimental design -- especially written for social scientists and their students. Spector covers major designs including: single group designs; pre-test/post-test designs; factorial designs, hierarchical designs; multivariate designs; the Solomon four group design; panel designs; and designs with concomitant variables. 'Bearing in mind the brevity (and hence cheapness) of the book, its coverage is extremely wide-ranging...As long as a basic grounding is achieved beforehand, attending to Spector's advice and comments should help budding researchers become aware of the issues and problems involved in practical research...the small outlay involved in buying the book will neither be regretted nor wasted.' -- Quality and Quantity, Vol 16, 1982

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Book Details

ISBN: 9780803917095
ISBN-10: 0803917090
Format: Paperback
(215mm x 139mm x 5mm)
Pages: 80
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 24-Nov-1981
Country of Publication: United States

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Author Biography - Paul E. Spector

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.

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