Titlebook: Regression-Based Normative Data for Psychological Assessment; A Hands-On Approach Wim Van der Elst Book 2024 The Editor(s) (if applicable)

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Wim Van der ElstProvides a solid introduction in regression-based normative methods without being overly technical.Comes with a comprehensive open-source software package to help efficiently derive regression-based n

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978-3-031-50953-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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The R Programming Language,re is written in the R programming language. This chapter provides a basic introduction into R, so that readers who are not familiar with this software can understand the essential commands that are used in the subsequent chapters of the book.

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Book 2024an and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size

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General Introduction,chological tests are norm-referenced. This means that normative data are needed to allow for a meaningful interpretation of the test scores. For example, knowing that a person answered 20 out of 50 items correctly on a test of abstract reasoning is not informative by itself. To give this test score

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The R Programming Language,re is written in the R programming language. This chapter provides a basic introduction into R, so that readers who are not familiar with this software can understand the essential commands that are used in the subsequent chapters of the book.