Applying the Rasch Model Fundamental Measurement in the Human Sciences

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 understan...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Bond, Trevor G., Yan, Zi, Heene, Moritz
Format: E-Book
Sprache:Englisch
Veröffentlicht: Oxford Routledge 2021
Taylor and Francis
Taylor & Francis Group
Ausgabe:4
Schlagworte:
ability
analysis
Business education
difficulties
difficulty
estimate
estimates
fit
item
Item response theory
measurement
Measurement techniques
Medical Statistics
Psychological Methods & Statistics
Psychology
Psychology-Research-Methodology
Psychology-Statistical methods
Rasch model
Research Methods for Social and Behavioral Sciences
Research Methods in Education
Social sciences
Social sciences-Research-Methodology
Social sciences-Statistical methods
statistics
Teaching models
Testing, Measurement and Assessment
Ability Estimates
Point Measure Correlations
Multidimensional Rasch Model
Rasch Analysis
Category Probability Curves
Item Difficulty Estimates
Multidimensional Random Coefficients Multinomial Logit
Logit Scale
Wright Map
Conjoint Measurement
DIF
Additive Conjoint Measurement
Item Estimate
Rasch Model
Rasch Measurement
Rasch Dimension
Person Ability Estimates
Misfitting Items
RSM
Item Difficulty
Polytomous Data
Fit Statistics
Item Person Map
Rasch Model’s Expectation
Rasch Residuals
ISBN:0367141426, 9780367141424, 9780367141417, 0367141418
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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. 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. 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 toward 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).
Bibliographie:Removed invalid ISBN/suffix "(pbk)".
London: Routledge, July 2020.
Includes bibliographical references.
xxvii, 348p.
ISBN:0367141426
9780367141424
9780367141417
0367141418
DOI:10.4324/9780429030499