Titlebook: Statistical Methods for Experimental Research in Education and Psychology; Jimmie Leppink Textbook 2019 The Editor(s) (if applicable) and

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978-3-030-21240-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-030-21241-4Experimental research in education; Experimental research in psychology; Experimental research in educ

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Dealing with Missing Datamplex yet generally more appropriate approaches to missing data are matching, regression imputation, FIML, and MI. After a comparison of these four methods in terms of their pros and cons, this chapter provides a pragmatic approach to dealing with missing data.

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Common Approaches to Multiple Testingestfall and colleagues) with their advantages and disadvantages. Next, a new approach to omnibus and follow-up testing is proposed, based on the logic of TOST equivalence testing, the Bayesian ROPE, and the TOST-ROPE uniting FOST model.

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