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Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Published by Chapman and Hall/CRC, 2014
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Language: English
Published by Taylor & Francis Group, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Published by Taylor & Francis Inc, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Published by Taylor & Francis Group, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Buch. Condition: Neu. Computerized Multistage Testing | Theory and Applications | Duanli Yan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2014 | Chapman and Hall/CRC | EAN 9781466505773 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Chapman And Hall/CRC, 2014
ISBN 10: 146650577X ISBN 13: 9781466505773
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. This volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions.