Using linear mixed models to analyze learning processes within sessions improves detection of treatment effects: An exemplary study of chronometric mental rotation

Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, but also within sessions. They can confound the detection of treatment effects, even when compared with control groups. We present an approach to reduce the impact of within-session practice effects t...

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Bibliographic Details
Main Authors: Jansen, P. (Author), Jost, L. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 01396nam a2200181Ia 4500
001 10.1016-j.metip.2022.100092
008 220517s2022 CNT 000 0 und d
020 |a 25902601 (ISSN) 
245 1 0 |a Using linear mixed models to analyze learning processes within sessions improves detection of treatment effects: An exemplary study of chronometric mental rotation 
260 0 |b Elsevier B.V.  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.metip.2022.100092 
520 3 |a Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, but also within sessions. They can confound the detection of treatment effects, even when compared with control groups. We present an approach to reduce the impact of within-session practice effects through inclusion and manipulation of time in linear mixed models. With an exemplary mental rotation task, we demonstrate the possibility to investigate performance within sessions. We show how controlling for practice effects can improve comparisons between treatments. Through simulations, we demonstrate the impact of within-session practice effects and the usefulness of the presented approach. © 2022 The Authors 
650 0 4 |a Linear mixed models 
650 0 4 |a Mental rotation 
650 0 4 |a Practice effects 
700 1 |a Jansen, P.  |e author 
700 1 |a Jost, L.  |e author 
773 |t Methods in Psychology