000			04050nam a22004337a 4500
999			_c2390 _d2390
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005			20230819152507.0
008			190515b ||||| |||| 00| 0 eng d
020			_a9780194017084 (pbk)
020			_a0194017087 (pbk)
040			_cJCRC
082			_a418.0076
100			_aMcNamara, Tim _d1949- _q(Timothy Francis)
245			_aFairness, Justice, and Language Assessment : _bThe Role of Measurement / _cTim McNamara, Ute Knoch, and Jason Fan.
260			_aNew York, NY : _bOxford University Press, _c2019.
300			_a215 p. : _bill. ; _c24 cm.
440			_aOxford Applied Linguistics
504			_aIncludes bibliographical references and index.
505			_a1. Introduction -- The quality of tests -- The fairness and justice of tests: an example -- Conclusion
505			_a2. Validity, justice, and fairness -- Introduction -- Validity: what is at stake in language tests? -- The social role of language tests -- Conclusion
505			_a3. The basic Rasch model -- Introduction -- The analysis of test data in classical test theory -- Beyond raw scores: the basics of Rasch measurement -- Conducting a simple Rasch analysis -- A simple description of what happens during a Rasch analysis -- Understanding the results of a simple Rasch analysis -- Analysing multiple-choice data using the simple Rasch model -- Summary
505			_a4. Beyond simple right or wrong answers: the Andrich rating scale model and the partial credit model -- Introduction -- Data types typically analysed -- Differences between the simple Rasch model and the rating scale and partial credit models -- Analysing polytomous data -- Conducting an analysis using the partial credit model or the rating scale model using Winsteps -- Understanding the results of a partial credit analysis -- A closer look at the differences between the partial credit model and the rating scale model: when do we use which? -- The rating scale model: using Rasch to analyse questionnaire data -- Summary
505			_a5. Introducing raters and ratings: the many-facets Rasch model -- Introduction -- Understanding rater variability -- Using many-facets Rasch to model rater effects -- Interpreting the results of a many-facets Rasch analysis -- Understanding basic many-facets Rasch analysis models -- Summary
505			_a6. Investigating fairness using Rasch measurement -- Introduction -- Mapping the terrain -- What kinds of fairness issues does Rasch-based research address? -- Summary
505			_a7. Beyond the basics in Rasch measurement -- Introduction -- Setting up data -- Identifying initial problems -- Further investigations and issues -- Reporting -- Summary
505			_a8. Data, models, and dimensions -- Introduction -- The Rasch family of models -- Debates over Rasch measurement -- The Rasch model and other data analytic methods -- Summary
505			_a9. Conclusion: reconciling fairness and justice
505			_aAppendix
505			_aReferences
505			_aIndex
520			_a"This book has two goals, each related to the validity of language assessment. The first goal is to explore the difference between fairness and justice in language assessment. The authors distinguish internal and external dimensions of the equitable and just treatment of individuals taking language tests which are used as gatekeeping devices to determine access to education and employment, immigrant status, citizenship, and other rights. The second goal is to show how the extent of test fairness can be demonstrated and improved using the tools of psychometrics, in particular the models collectively known as Rasch measurement." (Book Cover)
650			_aEducational tests and measurement.
650			_aKnowledge assessment.
650			_aLanguage _vTesting.
700			_aKnoch, Ute
700			_aFan, Jason
856			_uhttps://elt.oup.com/catalogue/items/global/linguistics/oxford_applied_linguistics/9780194016940?cc=ca&selLanguage=en&mode=hub _zPublisher's Website.
942			_2z _cBK