Scaling Procedures: Issues and Applications examines the issues involved in developing and validating multi-item self-report scales of latent constructs. Distinguished researchers and award-winning educators Richard G. Netemeyer, William O. Bearden, and Subhash Sharma present a four-step approach for multi-indicator scale development. With these steps, the authors include relevant empirical examples and a review of the concepts of dimensionality, reliability, and validity.
Scaling Procedures: Issues and Applications supplies cutting-edge strategies for developing and refining measures. Providing concise chapter introductions and summaries, as well as numerous tables, figures, and exhibits, the authors present recommended steps and overlapping activities in a logical, sequential progression.
Richard G. Netemeyer is a Professor of Commerce at the McIntire School of Commerce at the University of Virginia. He received his PhD in business administration with a specialization in marketing from the University of South Carolina in 1986. He was a member of the marketing faculty at Louisiana State University for 15 years before joining the McIntire faculty in the fall of 2001. He currently teaches quantitative analysis and marketing research at McIntire and conducts research on consumer and organizational behavior topics with a focus on measurement and survey-based techniques. His research has appeared in the Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Applied Psychology, Organizational Behavior & Human Decision Processes, and other publications. He is a coauthor of two books pertaining to measurement and is a member of the editorial review boards of the Journal of Consumer Research, Journal of the Academy of Marketing Science, and Journal of Public Policy and Marketing.
Reviewed this book for my research comprehensive exam for my Ph.D. This book is not for the novice, and went into some detail on formulae that weren't particularly helpful to the discussion. However, It did a good job (from start to finish) of discussing what is involved in creating an instrument to measure latent constructs in the social sciences.