This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Although the focus is on simple R code, the book provides updated guidance through the point-a...

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Bibliographische Detailangaben

1. Verfasser:	Lamprianou, Iasonas (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Oxford Taylor & Francis Group 2024
Ausgabe:	2nd ed.
Schriftenreihe:	Quantitative Methodology Series
Online-Zugang:	DE-19
Zusammenfassung:	This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Although the focus is on simple R code, the book provides updated guidance through the point-and-click menus of BlueSky Statistics software. Cover -- Endorsements -- Half Title -- Series -- Title -- Copyright -- Dedication -- Contents -- List of Figures -- List of Tables -- List of Equations -- List of Abbreviations -- Acknowledgments -- Preface -- 1 Introduction -- Quantitative Research in Social Sciences -- The Need for Reliable and Valid Measurement -- From Observations to Measures -- Basic Information on R and BlueSky Statistics -- How to Read This Book -- What Is New in the Second Edition -- Summary -- Brief Summary of Key Concepts -- Additional Reading -- 2 "Have You Assaulted a Politician?": Measuring Political Engagement Using the Simple Rasch Model -- Case Study I: Measuring Political Participation Using the Rasch Model -- Application of the Rasch Model on Empirical Data: A Black Box Approach -- The Building Blocks of Information: Response Patterns and Raw Scores -- Estimates of Activity Popularity/Unpopularity -- Estimates of Person Activism -- Missing Responses and Their Effect on Rasch Estimates -- Putting Everything Together -- Case Study II: The Probabilistic Thinking of Pupils -- Rasch Estimates and the Person-Item Map -- Item Information Curve -- Sample Size (Persons) Needed -- Number of Items Needed -- Summary -- Self-Assessment Questions -- Brief Summary of Key Concepts -- Additional Reading -- 3 Expectations and Residuals -- A Gentle, But Formal, Presentation of the Rasch Model -- Expected Responses -- Visualizing Expectations With Item Characteristic Curves -- Residuals: When Reality Fails Our Expectations! -- Visual Assessment of Residuals -- Model-Data Fit Statistics as Aggregations of Residuals -- How to Evaluate Model-Data Fit in Practice -- Person-Fit Indices -- Other Available Fit Statistics -- Rasch Model Assumptions and Violations: A General Discussion on Model-Data Misfit -- Summary -- Self-Assessment Questions -- Brief Summary of Key Concepts.
Beschreibung:	Description based on publisher supplied metadata and other sources
Beschreibung:	1 Online-Ressource
ISBN:	9781040259184