Quantitative Applications in the Social Sciences Ser.: Exploring Rating Scale Functioning for Survey Research by Stefanie A. Wind (2022, Trade Paperback / Trade Paperback)

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About this product

Product Identifiers

PublisherSAGE Publications, Incorporated
ISBN-101071855379
ISBN-139781071855379
eBay Product ID (ePID)27057247099

Product Key Features

Number of Pages224 Pages
LanguageEnglish
Publication NameExploring Rating Scale Functioning for Survey Research
Publication Year2022
SubjectMethodology, General, Statistics, Research & Methodology
TypeTextbook
Subject AreaSocial Science, Psychology
AuthorStefanie A. Wind
SeriesQuantitative Applications in the Social Sciences Ser.
FormatTrade Paperback / Trade Paperback

Dimensions

Item Weight11 Oz
Item Length8.5 in
Item Width5.5 in

Additional Product Features

Intended AudienceCollege Audience
LCCN2022-047111
ReviewsThis book makes a valuable contribution to the field of rating scale analysis, and one that methodologists in the field of psychometrics should strongly consider., This book comprehensively covers the analytical models and techniques for rating scale analysis. The author uses plain and clear language to explain all the models, equations, and illustrations of rating scale analysis in the book. I appreciate that the author makes the data and all software scripts available., This book makes a valuable contribution to the field of rating scale analysis, and one that methodologists in the field of psychometrics should strongly consider. -- Mark Ellickson Wind takes the complex topic of evaluating rating scales, and explains the core issues researchers must address throughout the process. -- Charles P. Kost II This book comprehensively covers the analytical models and techniques for rating scale analysis. The author uses plain and clear language to explain all the models, equations, and illustrations of rating scale analysis in the book. I appreciate that the author makes the data and all software scripts available. -- Yi-Hsin Chen This book includes much good content will help students and researchers with their survey research, along with some great examples. -- Jingshun Zhang, This book includes much good content will help students and researchers with their survey research, along with some great examples., Wind takes the complex topic of evaluating rating scales, and explains the core issues researchers must address throughout the process.
Dewey Edition23
IllustratedYes
Dewey Decimal150.15195
Table Of ContentChapter 1: What is Rating Scale Analysis?Chapter 2: Rasch Models for Rating Scale AnalysisChapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch ModelsChapter 4: Non-Rasch IRT Models for Rating Scale AnalysisChapter 5: Nonparametric Measurement Models for Rating Scale AnalysisChapter 6: Summary and Resources for Further Study
SynopsisThis book provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples., Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers. Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples. Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book's website.
LC Classification NumberBF39.W563 2023

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