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@ARTICLE{Schumann:910731,
author = {Schumann, Frank and Steinborn, Michael B. and Flehmig,
Hagen C. and Kürten, Jens and Langner, Robert and
Huestegge, Lynn},
title = {{O}n doing multi-act arithmetic: {A} multitrait-multimethod
approach of performance dimensions in integrated
multitasking},
journal = {Frontiers in psychology},
volume = {13},
issn = {1664-1078},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2022-04101},
pages = {946626},
year = {2022},
abstract = {Here we present a systematic plan to the experimental study
of test-retest reliability in the multitasking domain,
adopting the multitrait-multimethod (MTMM) approach to
evaluate the psychometric properties of performance in
Düker-type speeded multiple-act mental arithmetic. These
form of tasks capacitate the experimental analysis of
integrated multi-step processing by combining multiple
mental operations in flexible ways in the service of the
overarching goal of completing the task. A particular focus
was on scoring methodology, particularly measures of
response speed variability. To this end, we present data of
two experiments with regard to (a) test-retest reliability,
(b) between-measures correlational structure, (c) and
stability (test-retest practice effects). Finally, we
compared participants with high versus low performance
variability to assess ability-related differences in
measurement precision (typically used as proxy to "simulate"
patient populations), which is especially relevant in the
applied fields of clinical neuropsychology. The participants
performed two classic integrated multi-act arithmetic tasks,
combining addition and verification (Exp. 1) and addition
and comparison (Exp. 2). The results revealed excellent
test-retest reliability for the standard and the variability
measures. The analysis of between-measures correlational
structure revealed the typical pattern of convergent and
discriminant relationships, and also, that absolute response
speed variability was highly correlated with average speed
(r > 0.85), indicating that these measures mainly deliver
redundant information. In contrast, speed-adjusted
(relativized) variability revealed discriminant validity
being correlated to a much lesser degree with average speed,
indicating that this measure delivers additional information
not already provided by the speed measure. Furthermore,
speed-adjusted variability was virtually unaffected by
test-retest practice, which makes this measure interesting
in situations with repeated testing.},
cin = {INM-7},
ddc = {150},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {36059769},
UT = {WOS:000849206400001},
doi = {10.3389/fpsyg.2022.946626},
url = {https://juser.fz-juelich.de/record/910731},
}