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Applying the Rasch Model: Fundamental Measurement in the Human Sciences de Trevor Bond

Applying the Rasch Model: Fundamental Measurement in the Human Sciences

Autor Trevor Bond, Zi Yan, Moritz Heene
en Limba Engleză Paperback – 20 iul 2020
Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.
Highlights of the new edition include:
  • More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings.
  • Greater emphasis on the use of R packages; readers can download the R code from the Routledge website.
  • Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4).
  • A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6).
  • Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10).
Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.
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Specificații

ISBN-13: 9780367141424
ISBN-10: 0367141426
Pagini: 376
Ilustrații: 100 Tables, black and white; 74 Line drawings, black and white; 174 Illustrations, black and white
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.72 kg
Ediția:4 ed
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate, Professional, and Undergraduate

Cuprins

Foreword
Preface
Notes on This Volume
About the Authors
  1. Why Measurement Is FundamentalChildren Can Construct Measures
    Interval Scales v. Ratio Scales: A Conceptual Explanation
    Statistics and/or Measurement
    Why Fundamental Measurement?
    Derived Measures
    Conjoint Measurement
     The Rasch Model for Measurement
     A More Suitable Analogy for Measurement in the Human Sciences
     In Conclusion
     Summary
  2. Important Principles of Measurement Made ExplicitAn example: "By How Much?"
    Moving From Observations to Measures
    Summary
  3. Basic Principles of the Rasch ModelThe Pathway Analogy
    A Basic Framework for Measurement
    The Rasch Model
    Summary
  4. Building a Set of Items for MeasurementThe Nature of the Data
    Analyzing Dichotomous Data: The BLOT
    A Simple Rasch Summary: The Item Pathway
    Item Statistics
    Item Fit
    The Wright Map
    Targeting
    Comparing Persons and Items
    Summary
    Extended Understanding
    The Problem of Guessing
    Difficulty, Ability, and Fit
    The Theory–Practice Dialog
    Summary
  5. Invariance: A Crucial Property of Scientific MeasurementPerson and Item Invariance
    Common-Item Linking
    Please Keep in Mind
    Anchoring Item Values
    Vertical Scaling
    Common-Person Linking
    Invariance of Person Estimates across Tests: Concurrent Validity
    The PRTIII-Pendulum
    Common-Person Linking: BLOT & PRTIII
    The Theory–Practice Dialog
    Measurement Invariance: Where It Really Matters
    Failures of Invariance: DIF
    Differential Rater Functioning
    DIF: Not Just a Problem, but an Opportunity
    Summary
  6. Measurement Using Likert ScalesThe Rasch Model for Polytomous Data
    Analyzing Rating Scale Data: The Instrumental Attitude towards Self-Assessment Questionnaire
    Summary
    Extended Understanding
    Summary
  7. The Partial Credit Rasch ModelClinical Interview Analysis: A Rasch-Inspired Breakthrough
    Scoring Interview Transcripts
    Partial Credit Model Results
    Interpretation
    The Theory–Practice Dialog
    Summary
    Extended Understanding
    Point–Measure Correlations
    Fit Statistics
    Dimensionality: Primary Components Factor Analysis
    Summary
  8. Measuring Facets Beyond Ability and DifficultyA Basic Introduction to the Many-Facets Rasch Model
    Why Not Use Interrater Reliability?
    Relations Among the Rasch Family of Models
    Data Specifications of the Many-Facets Rasch Model
    Rating Creativity of Junior Scientists
    8.6 Many-Facets Analysis of Eighth-Grade Writing
    Summary
    Extended Understanding
    Rasch Measurement of Facets Beyond Rater Effects
    Summary
  9. Making Measures, Setting Standards, and Rasch RegressionCreating a Measure from Existing Data: The RMPFS (Zi Yan, EdUHK)
    Method: Data 
    Physical Fitness Indicators
    Data Analysis
    Seven Criteria to Investigate the Quality of Physical Fitness Indicators
    Results and Discussion
    Optimising Response Categories
    Influence of Underfitting Persons on the RMPFS
    Properties of the RMPFS With Subsamples
    Age Dependent or Age Related?
    The Final Version of RMPFS
    Objective Standard Setting: The OSS Model (Gregory Stone, U Toledo)
    Early Definitions
    The Objective Standard Setting Models
    Objective Standard Setting for Dichotomous Examinations
    Objective Standard Setting for Judge-Mediated Examinations
    Fair Standards, Not Absolute Values
    Rasch Regression (Svetlana Beltyukova, U Toledo)
    Predicting Physician Assistant Faculty Intention to Leave Academia
    Rasch Regression Using the Anchored Formulation
    Rasch Regression: Alternative Approaches
    Discussion
    Summary
  10. The Rasch Model Applied Across the Human SciencesRasch Measurement in Health Sciences
    Optimising an Existing Instrument: The NIHSS and a Central Role for PCA
    Creating a Short Form of an Existing Instrument: The FSQ
    FSQ-SF
    Theory Guides Assessment Revisions: The PEP–S8
    Applications in Education and Psychology
    Rasch Measures as Grist for the Analytical Mill
    Rasch Gain Calculations: Racking and Stacking
    Rasch Learning Gain Calculations: The CCI
    Racking and Stacking
    Stacking Can Be Enough: UPAM
    Sub- Test Structure Informs Scoring Models
    Applications to Classroom Testing
    Can Rasch Measurement Help S.S. Stevens?
    Using Rasch Measures with Path Analysis (SEM Framework)
    Rasch Person Measures Used in a Partial Least Squares (PLS) Framework
    And Those Rasch Measurement SEs?
    Can We Really Combine SEM and Rasch Models?
    Conclusion
    Summary  
  11. Rasch Modeling Applied: Rating Scale DesignRating Scale Design
    Category Frequencies and Average Measures
    Thresholds and Category Fit
    Revising a Rating Scale
    An Example
    Guidelines for Collapsing Categories
    Problems With Negatively Worded Items
    The Invariance of the Measures across Groups
    Summary
  12. Rasch Model Requirements: Model Fit and UnidimensionalityThe Data, the Model, and the Residuals
    Residuals
    Fit Statistics
    Expectations of Variation
    Fit, Misfit, and Interpretation
    Fit: Issues for Resolution
    Principal Components Analysis of Rasch Residuals: The BLOT as an Exemplar
    One Dimension, Two Dimensions, Three Dimensions, More?
    Extended Understanding
    A Further Investigation: BLOT and PRTIII
    Summary
  13. A Synthetic Overview
          Additive Conjoint Measurement (ACM)
          True Score Theory, Latent Traits, and Item Response Theory
          Would You Like an Interval Scale With That?
          Model Assumptions and Measurement Requirements
          Construct Validity
          The Rasch Model and Progress of Science
          Back to the Beginning and Back to the End
          Summary
Appendix A: Getting Started
Appendix B: Technical Aspects of the Rasch Model
Appendix C: Going All the Way
Glossary
Author Index
Subject Index

Notă biografică

Trevor G. Bond is currently Adjunct Professor at the College of Arts, Society and Education at James Cook University, Australia.
Zi Yan is Associate Professor in the Department of Curriculum and Instruction at the Education University of Hong Kong.
Moritz Heene is Full Professor of Learning Sciences Research Methodologies (i.e., Quantitative Methods) at the Ludwig-Maximilians-Universität München, Germany.

Recenzii

From a previous edition:
"The tiresome debate about　Rasch vs. IRT is over　-- if you want to construct　valid　measurements from uncertain observations　you need to understand and learn how to use Rasch measurement.　Bond and Fox is your huckleberry -- read it and get to work!" – Robert W. Massof, Johns Hopkins University School of Medicine, USA
"Bond & Fox's book is a must read for anyone interested in measurement.　This book is my go-to for introducing graduate students to the Rasch model." – Kelly D. Bradley, University of Kentucky, USA
"The authors have successfully made sophisticated measurement theory into feasible practice for practitioners by providing clear and intuitive explanations, numerous examples, and nice computer outputs. It is a textbook that I have used and will continue to use in the future." – Wen Chung Wang, Hong Kong Institute of Education, Hong Kong
"Bond and Fox provide a clear and accessible introduction to the Rasch model… I always recommend their book when a student or colleagues asks me to explain Rasch measurement theory." – George Engelhard, Jr., The University of Georgia, USA
"The Rasch model represents modern measurement theory at its best … Rasch models are used around the world to create psychometrically defensible scales and tests. Bond and Fox provide an accessible introduction to the Rasch model that describes the logic and essential importance of fundamental measurement in the human sciences." – George Engelhard, Jr., The University of Georgia, USA

From a previous edition:
"The tiresome debate about Rasch vs. IRT is over –  if you want to construct valid measurements from uncertain observations you need to understand and learn how to use Rasch measurement. Bond and Fox is your huckleberry – read it and get to work!" – Robert W. Massof, Johns Hopkins University School of Medicine, USA
"Bond & Fox's book is a must read for anyone interested in measurement. This book is my go-to for introducing graduate students to the Rasch model." – Kelly D. Bradley, University of Kentucky, USA
"The authors have successfully made sophisticated measurement theory into feasible practice for practitioners by providing clear and intuitive explanations, numerous examples, and nice computer outputs. It is a textbook that I have used and will continue to use in the future." – Wen Chung Wang, Hong Kong Institute of Education, Hong Kong
"The Rasch model represents modern measurement theory at its best … Rasch models are used around the world to create psychometrically defensible scales and tests. Bond and Fox provide an accessible introduction to the Rasch model that describes the logic and essential importance of fundamental measurement in the human sciences." – George Engelhard, Jr., The University of Georgia, USA

Descriere

Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences.