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http://hdl.handle.net/1942/26394
Title: | Establishing normative data for multi-trial memory tests: the multivariate regression-based approach | Authors: | VAN DER ELST, Wim MOLENBERGHS, Geert van Tetering, Marleen Jolles, Jelle |
Issue Date: | 2017 | Publisher: | TAYLOR & FRANCIS INC | Source: | CLINICAL NEUROPSYCHOLOGIST, 31(6-7), p. 1173-1187 | Abstract: | Objective: Multi-trial memory tests are widely used in research and clinical practice because they allow for assessing different aspects of memory and learning in a single comprehensive test procedure. However, the use of multi-trial memory tests also raises some key data analysis issues. Indeed, the different trial scores are typically all correlated, and this correlation has to be properly accounted for in the statistical analyses. In the present paper, the focus is on the setting where normative data have to be established for multi-trial memory tests. At present, normative data for such tests are typically based on a series of univariate analyses, i.e. a statistical model is fitted for each of the test scores separately. This approach is suboptimal because (1) the correlated nature of the data is not accounted for, (2) multiple testing issues may arise, and (3) the analysis is not parsimonious. Method and results: Here, a normative approach that is not hampered by these issues is proposed (the so-called multivariate regression-based approach). The methodology is exemplified in a sample of N = 221 Dutch-speaking children (aged between 5.82 and 15.49 years) who were administered Rey's Auditory Verbal Learning Test. An online Appendix that details how the analyses can be conducted in practice (using the R software) is also provided. Conclusion: The multivariate normative regression-based approach has some substantial methodological advantages over univariate regression-based methods. In addition, the method allows for testing substantive hypotheses that cannot be addressed in a univariate framework (e.g. trial by covariate interactions can be modeled). | Notes: | [Van der Elst, Wim] Johnson & Johnson, Janssen Pharmaceut Co, Stat & Decis Sci Quantitat Sci, Beerse, Belgium. [Van der Elst, Wim; Molenberghs, Geert] Katholieke Univ Leuven, Ctr Stat CenStat, Diepenbeek, Belgium. [Van der Elst, Wim; Molenberghs, Geert] UHasselt, Diepenbeek, Belgium. [van Tetering, Marleen; Jolles, Jelle] Vrije Univ Amsterdam, Fac Behav & Movement Sci, Ctr Brain & Learning, Amsterdam, Netherlands. | Keywords: | Multivariate regression; Rey's Verbal Learning Test; norms; correlated test scores;multivariate regression; Rey's verbal learning test; norms; correlated test scores | Document URI: | http://hdl.handle.net/1942/26394 | ISSN: | 1385-4046 | e-ISSN: | 1744-4144 | DOI: | 10.1080/13854046.2017.1294202 | ISI #: | 000409318000014 | Rights: | © 2017 Informa UK Limited, trading as Taylor & Francis Group | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2018 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Molenberghs.pdf Restricted Access | Published version | 1.39 MB | Adobe PDF | View/Open Request a copy |
normativedata-authorversion.pdf | Peer-reviewed author version | 228.87 kB | Adobe PDF | View/Open |
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