`This is an excellent book which introduces the underlying concepts and practical issues related to psychosocial measurement and scale development' - Statistics in Medicine Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs. 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…mehr
`This is an excellent book which introduces the underlying concepts and practical issues related to psychosocial measurement and scale development' - Statistics in Medicine Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs. 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. Designed for graduate students in measurement/psychometrics, structural equation modeling, and survey research seminars across the social science disciplines, this book also addresses the needs of researchers and academics in all business, psychology, and sociology-related disciplines.
Richard G. Netemeyer is the Ralph E. Beeton Professor of Free Enterprise in the Marketing Division and Senior Associate Dean at the McIntire School of Commerce at the University of Virginia, Charlottesville, VA. He received his Ph.D. 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 the E. J. Ourso School of Business at Louisiana State University from 1986 to 2001. In 2001, he joined the McIntire School of Commerce. Professor Netemeyer's research has appeared in the Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Applied Psychology, OBHDP, Marketing Science, American Journal of Psychiatry, American Journal of Public Health, and others. He is a co-author of two textbooks pertaining to measurement and psychometrics, and is a member of the editorial review boards of Journal of Consumer Research, Journal of Marketing, and the Journal of Public Policy & Marketing.
Inhaltsangabe
About the Authors Chapter One: Introduction and Overview Purpose of the Book. Perspectives on Measurement in the Social Sciences. Latent Constructs Overview of dimensionality, reliability, and validity Overview of recommended procedures and steps in scale development. Chapter Two: Dimensionality Introduction. Dimensionality of construct, items, and a set of items. Does uni-dimensionality of a set of items imply uni-dimensionality of items or construct? Relevance of uni-dimensionality. How to assess dimensionality of constructs. Chapter Three: Reliability Introduction The true-score model Coefficient alpha Generalizability Theory Chapter Four: Validity Overview of Construct Validity Translation validity Criterion validity Convergent and discriminant validity Known-group validity Nomological validity Chapter Five: Steps 1 and 2: Construct Definition and Generating and Judging Measurement items Chapter 5: Steps 1 and 2: Construct Definition and Judging Measurement Items Introduction Step 1: Construct definition and content domain Step 2: Generating and judging measurement items Applications of Steps 1 and 2. Chapter Six: Step 3: Designing and Conducting Studies to Develop the Scale Introduction Pilot testing Conducting multiple studies for initial development and validation Initial item analyses: Exploratory factor analysis (EFA) Initial item and reliability analyses A final caveat EFA and item and reliability analyses examples from the literature Chapter 7: Step 4: Finalizing the Scale Introduction EFA and additional item analyses Confirmatory Factor Analyses (CFA) Additional evaluations of validity Establishing norms Applying generalizability theory Chapter Eight: Concluding Remarks Index
About the Authors Chapter One: Introduction and Overview Purpose of the Book. Perspectives on Measurement in the Social Sciences. Latent Constructs Overview of dimensionality, reliability, and validity Overview of recommended procedures and steps in scale development. Chapter Two: Dimensionality Introduction. Dimensionality of construct, items, and a set of items. Does uni-dimensionality of a set of items imply uni-dimensionality of items or construct? Relevance of uni-dimensionality. How to assess dimensionality of constructs. Chapter Three: Reliability Introduction The true-score model Coefficient alpha Generalizability Theory Chapter Four: Validity Overview of Construct Validity Translation validity Criterion validity Convergent and discriminant validity Known-group validity Nomological validity Chapter Five: Steps 1 and 2: Construct Definition and Generating and Judging Measurement items Chapter 5: Steps 1 and 2: Construct Definition and Judging Measurement Items Introduction Step 1: Construct definition and content domain Step 2: Generating and judging measurement items Applications of Steps 1 and 2. Chapter Six: Step 3: Designing and Conducting Studies to Develop the Scale Introduction Pilot testing Conducting multiple studies for initial development and validation Initial item analyses: Exploratory factor analysis (EFA) Initial item and reliability analyses A final caveat EFA and item and reliability analyses examples from the literature Chapter 7: Step 4: Finalizing the Scale Introduction EFA and additional item analyses Confirmatory Factor Analyses (CFA) Additional evaluations of validity Establishing norms Applying generalizability theory Chapter Eight: Concluding Remarks Index
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