Titlebook: Advances in Rasch Analyses in the Human Sciences; William J. Boone,John R. Staver Book 2020 Springer Nature Switzerland AG 2020 Assessment

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書目名稱Advances in Rasch Analyses in the Human Sciences被引頻次




書目名稱Advances in Rasch Analyses in the Human Sciences被引頻次學(xué)科排名




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書目名稱Advances in Rasch Analyses in the Human Sciences讀者反饋




書目名稱Advances in Rasch Analyses in the Human Sciences讀者反饋學(xué)科排名

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Studies in Computational Intelligence tools. . presents a range of topics that were not presented in . (e.g. partial credit analysis of data, common person equating, use of Item Characteristic Curves). . also includes extensions of several topics discussed in .. For example, to augment use of Wright Maps, we include a lengthy discussion of Wright Maps.

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https://doi.org/10.1007/978-3-319-40722-7 spot errors in answer keys, as well in the presence of survey items that were not flipped, but should have been flipped. This chapter provides an added technique by which researchers can identify issues that can impact the quality of data used for an analysis of a test or a survey. Also, we link this chapter to our “What Tables to Use” of

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Multi-Feature Pattern Recognitionsch item measures, an analyst must apply the Rasch model to an appropriate data set. This chapter presents the ins and outs of different estimation techniques that are used by different Rasch software programs. Our discussion considers the differences and similarities of analysis results as a function of different estimation procedures.

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笨拙處理

Introduction: For the Second Time, tools. . presents a range of topics that were not presented in . (e.g. partial credit analysis of data, common person equating, use of Item Characteristic Curves). . also includes extensions of several topics discussed in .. For example, to augment use of Wright Maps, we include a lengthy discussion of Wright Maps.