"I think this is a good book for the novice SAS user. It introduces the system in a good way as it gives the necessary concepts in logical order." --Clemens Tilke in Computational Statistics & Data Analysis "SAS Programming for Researchers and Social Scientists bridges the gap between programming syntax and programming applications. It provides the social scientist who wants to or needs to become a proficient SAS user a clear and systematic introduction to the SAS programming language. The book gives a novice programmer a sense of place and motivational context to tackle the often tedious and frustrating task of learning to write an efficient SAS program. In contrast to other books on the SAS programming, this book combines a clear explanation of the SAS language with a problem-solving approach to writing a SAS program. SAS Programming for Researchers and Social Scientists encourages the novice programmer to approach each programming task as a problem to be solved, and it provides him or her with a useful and meaningful model for solving the types of programming problems encountered by researchers and social scientists." --John E. Cornell, Biostatistician, Audie L. Murphy Memorial Hospital "The author took a very abstruse topic and made it approachable to those without formal programming skills. I think that both novice and intermediate SAS programmers should find this book very helpful as a tutorial and as a future reference. I think you have a best seller on your hands." --J. Philip Craiger, Taking a problem solving approach that focuses on common programming tasks that social scientists encounter in doing data analysis, Paul E. Spector uses examples and sample programs to introduce various SAS programming concepts in the context of social science problems. Basic programming concepts such as loops, arrays, counters, branching, inputting, and outputting are introduced in a logical sequence as well as the principles of structured programming so that the reader can write programs that are orderly and avoid excessive and disorganized branching. Throughout the book, Spector offers the reader a three-step approach (preplanning, writing the program, and debugging) and tips about helpful features and practices to use as well as pitfalls to avoid. Appropriate for readers with little or no knowledge of the SAS language, this book will enable the reader to run each example, adapt the examples to real problems that the reader may have, and create a program. *IN TITLE, USE REGISTERED TRADEMARK SYMBOL FOR LEGALITY.
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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.
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