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ویرایش: 4 نویسندگان: Trevor G. Bond, Zi Yan, Moritz Heene سری: ISBN (شابک) : 0367141426, 9780429030499 ناشر: Routledge سال نشر: 2020 تعداد صفحات: 377 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 48 مگابایت
در صورت تبدیل فایل کتاب Applying the Rasch Model: Fundamental Measurement in the Human Sciences, 4th Edition به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب بکارگیری مدل راش: اندازه گیری بنیادی در علوم انسانی، ویرایش چهارم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
ARM که به عنوان تأثیرگذارترین نشریه در این زمینه شناخته می شود، درک عمیق مدل Rasch و کاربردهای عملی آن را تسهیل می کند. نویسندگان ویژگیهای مهم مدل را بررسی کرده و استفاده از آن را با مثالهایی در سراسر علوم انسانی نشان میدهند. خوانندگان قادر خواهند بود تحقیقات اندازه گیری Rasch را درک و ارزیابی انتقادی کنند، تجزیه و تحلیل Rasch خود را انجام دهند و نتایج آنها را تفسیر کنند. واژه نامه و تصاویر از این درک پشتیبانی می کنند و رویکرد قابل دسترس به این معنی است که برای خوانندگان بدون پیش زمینه ریاضی ایده آل است.
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.
Cover Half Title Title Page Copyright Page Dedication Table of contents Figures Tables About the Authors Foreword Preface Notes on This Volume Acknowledgments 1 Why Measurement Is Fundamental Children 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 Note Suggested Readings References 2 Important Principles of Measurement Made Explicit An Example: “By How Much?” Moving from Observations to Measures Summary Notes Suggested Readings References 3 Basic Principles of the Rasch Model The Pathway Analogy Unidimensionality Item Fit Difficulty/Ability Estimation and Error Reliability A Basic Framework for Measurement Fit (Quality Control) The Rasch Model Summary References 4 Building a Set of Items for Measurement The 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 References 5 Invariance: A Crucial Property of Scientific Measurement Person 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 References 6 Measurement Using Likert Scales The Rasch Model for Polytomous Data Analyzing Rating Scale Data: The Instrumental Attitude toward Self-Assessment Questionnaire Item Ordering Targeting and Reliability Summary Extended Understanding Item Polarity Empirical Item–Category Measures Category Function Dimensionality Map Item Misfit Table Construct KeyMap Person Misfit Table Separation Table Summary Notes References 7 The Partial Credit Rasch Model Clinical Interview Analysis: A Rasch-Inspired Breakthrough Scoring Interview Transcripts Ordered Performance Criteria for 18 Aspects of the Pendulum Interview Task Partial Credit Model Results Interpretation The Theory–Practice Dialog Unidimensionality Summary ARMsteps Extended Understanding Category Functioning Point–Measure Correlations Fit Statistics Dimensionality: Primary Components Factor Analysis of the Rasch Residuals Summary Note References 8 Measuring Facets Beyond Ability and Difficulty A 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 Many-Facets Analysis of Eighth-Grade Writing Summary Extended Understanding Invariance of Rated Creativity Scores Rasch Measurement of Facets Beyond Rater Effects Summary References 9 Making Measures, Setting Standards, and Rasch Regression Creating 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 Consideration of BMI Consideration of Sit-and-Reach Consideration of Handgrip Consideration of Push-Ups 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 References 10 The Rasch Model Applied across the Human Sciences Rasch Measurement in Health Sciences Establishing Rasch Psychometric Properties: The A-ONE J More Than Mere Psychometric Indicators: The PAM Refining an Existing Instrument: The POSAS 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 Test Development The Goodenough Draw-a-Man Test: One Drawing Is Good Enough 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 References 11 Rasch Modeling Applied Rating Scale Design Rating 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 Suggested Readings References 12 Rasch Model Requirements Model Fit and Unidimensionality Model Fit and Unidimensionality The Data, the Model, and the Residuals Residuals Fit Statistics Expectations of Variation Fit, Misfit, and Interpretation Fit: Issues for Resolution Misfit: A Fundamental Issue In the Interim Detecting Multiple Dimensions Linear Factor Analysis: Problems and Promise Rasch Factor Analysis (PCA) 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 References 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 Note References Appendix A Getting Started Data Input Software First Analysis Output What to Look For Where to Look The Wright Map The Item Statistics Table Case Statistics Table Next Steps The Pathway Map Interpretation Extended Understanding Working with Excel and SPSS Data Files Further Analyses Next Steps The Classic Reference Texts Journal of Applied Measurement www.rasch.org Start Reading Rasch Research and Methods for Free Computer Software for Rasch Measurement eRm: Extended Rasch Modeling Appendix B: Technical Aspects of the Rasch Model Rasch Family of Models Dichotomous Model Parameter Separation Rating-Scale Model Partial Credit Model Many-Facets Rasch Model Rasch Model Assessment Reliability Indices Test Information Fit Statistics Appendix C: Going All the Way Absence of Evidence Is Not Evidence for Absence What Are the Weaknesses of Residual-Based Statistics? Testing the Requirement of Equal Item Slopes: Global Model Tests and Model Fit Comparisons Using Confirmatory Factor Analysis to Test the Equality of Item Slopes Using Test Analysis Modules (TAM) to Test the Equality of Item Slopes Using the Andersen Likelihood Ratio Test and the Rasch Graphical Model Check to Test the Equality of Item Slopes Testing Dimensionality Using Structural Equation Modeling Conclusion Note References Glossary Author Index Subject Index