Scaling Procedures: Issues and Applications
Autor Richard G. Netemeyer, William O. Bearden, Subhash Sharmaen Limba Engleză Electronic book text – 30 mai 2003
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 Applicationsexamines 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 Applicationssupplies 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.
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Specificații
ISBN-13: 9781452210605
ISBN-10: 1452210608
Pagini: 224
Dimensiuni: 152 x 229 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 1452210608
Pagini: 224
Dimensiuni: 152 x 229 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
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Recenzii
"I
recommend
this
book
to
any
researcher
(graduate
student,
academic,
social
scientist)
who
is
considering
developing
a
summated
rating
scale.
For
those
who
are
already
sophisticated
in
psychometrics
and
data
analysis
(factor
analysis
and
generalizability
theory
analysis),
the
book
provides
a
clear
outline
of
what
needs
to
be
done."
Cuprins
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
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
Descriere
Scaling
Procedures:
Issues
and
Applicationsexamines
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 Applicationssupplies 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.
Scaling Procedures: Issues and Applicationssupplies 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.
Notă biografică
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.