Titlebook: Rasch Analysis in the Human Sciences; William J. Boone,John R. Staver,Melissa S. Yale Book 2014 Springer Netherlands 2014 Rasch measuremen

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Missing Data: What Should I Do?,nducting accurate measures of respondents. The chapter finishes up with a student dialogue, Keywords and Phrases, Quick Tips, Data Files, References, and Additional Readings. As in almost all chapters, sample analyses are used to reinforce the chapter topic.

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Anticoagulants

Rating Scale Surveys,es are given related to the use of Rasch analysis to evaluate test data. Readers are introduced to a 13-item self-efficacy scale used frequently in examples and end-of-chapter exercises. Readers are guided through the logistics of entering raw data in spreadsheets in preparation for a Rasch analysis

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Understanding Person Measures,easures, and how (and why) these measures are used for parametric statistical tests. Readers are asked to rerun the data from ., and then they are provided with step-by-step interpretation of the key columns presented in the “person measure” tables. Readers learn how to identify the number of items

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Item Measures,ing Rasch Winsteps software, and readers are guided through the interpretation of Winsteps item measure output. This chapter also helps readers understand the importance of “item entry number” when interpreting Winsteps tables. The end of the chapter presents the first of many Wright maps which will

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Wright Maps: First Steps, instruments and the communication of research results in health, education, psychology, and business. Readers are guided through a “must do” construction of a Wright map using the self-efficacy data. In this hands-on activity, readers practice reading numerous Winsteps tables while developing a bet

Anticlimax

Wright Maps: Second Steps,easures simultaneously is introduced. In particular, readers are presented with examples enabling them to interpret a person measure given the item measures. Following this discussion, the chapter moves on to plotting groups (e.g., male and female) and pre-/post-measures and how to interpret those m

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