Screen LibraryInstrument development in the affective domain school and corporate applications /
Whether the concept being studied is job satisfaction, self-efficacy, or student motivation, values and attitudes--affective characteristics--provide crucial keys to how individuals think, learn, and behave. And not surprisingly, as measurement of these traits gains importance in the academic and co...
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| Group Author: | ; |
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| Literature type: | Electronic eBook |
| Language: | English |
| Edition: | 3rd ed. |
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| Online Access: |
http://dx.doi.org/10.1007/978-1-4614-7135-6 |
| Summary: |
Whether the concept being studied is job satisfaction, self-efficacy, or student motivation, values and attitudes--affective characteristics--provide crucial keys to how individuals think, learn, and behave. And not surprisingly, as measurement of these traits gains importance in the academic and corporate worlds, there is an ongoing need for valid, scientifically sound instruments. For those involved in creating self-report measures, the completely updated Third Edition of Instrument Development in the Affective Domain balances the art and science of instrument development and evaluation, covering both its conceptual and technical aspects. The book is written to be accessible with the minimum of statistical background, and reviews affective constructs from a measurement standpoint. Examples are drawn from academic and business settings for insights into design as well as the relevance of affective measures to educational and corporate testing. Addressing reliability issues. |
| Carrier Form: | 1 online resource (xvi, 307 p.) : ill. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781461471356 (electronic bk.) 1461471354 (electronic bk.) |
| Index Number: | BF531 |
| CLC: | B841.7 |
| Contents: |
Affective characteristics in school and corporate environments: their conceptual definitions -- Defining, measuring, and scaling affective constructs -- Evidence based on test content -- Evidence based on the internal structure of the instrument: factor analysis -- Additional evidence based on the internal structure of the instrument -- Evidence based on relations to other variables: bolstering the empirical validity arguments for constructs -- The reliability of scores from affective instruments -- Review of the steps for designing an instrument. |