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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