Exploring Rating Scale Functioning for Survey Research
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Go to College Publishing WebsiteDescription
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 at https://study.sagepub.com/researchmethods/qass/wind-exploring-rating-scale-functioning.
Contents
Chapter 1: What is Rating Scale Analysis?
Chapter 1: What is Rating Scale Analysis?
Chapter 2: Rasch Models for Rating Scale Analysis
Chapter 2: Rasch Models for Rating Scale Analysis
Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models
Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models
Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis
Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis
Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis
Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis
Chapter 6: Summary and Resources for Further Study
Chapter 6: Summary and Resources for Further Study
Additional materials
Description
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 at https://study.sagepub.com/researchmethods/qass/wind-exploring-rating-scale-functioning.
Contents
Chapter 1: What is Rating Scale Analysis?
Chapter 1: What is Rating Scale Analysis?
Chapter 2: Rasch Models for Rating Scale Analysis
Chapter 2: Rasch Models for Rating Scale Analysis
Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models
Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models
Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis
Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis
Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis
Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis
Chapter 6: Summary and Resources for Further Study
Chapter 6: Summary and Resources for Further Study
Additional materials
Reviews
December 2022 | 224 pages | Sage US
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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 at https://study.sagepub.com/researchmethods/qass/wind-exploring-rating-scale-functioning.
Table Of Contents:
- Chapter 1: What is Rating Scale Analysis?
- Chapter 2: Rasch Models for Rating Scale Analysis
- Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models
- Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis
- Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis
- Chapter 6: Summary and Resources for Further Study