Title

Identifying relationships between cognitive processes across tasks, contexts, and time

Publication Name

Behavior Research Methods

Abstract

It is commonly assumed that a specific testing occasion (task, design, procedure, etc.) provides insights that generalize beyond that occasion. This assumption is infrequently carefully tested in data. We develop a statistically principled method to directly estimate the correlation between latent components of cognitive processing across tasks, contexts, and time. This method simultaneously estimates individual-participant parameters of a cognitive model at each testing occasion, group-level parameters representing across-participant parameter averages and variances, and across-task correlations. The approach provides a natural way to “borrow” strength across testing occasions, which can increase the precision of parameter estimates across all testing occasions. Two example applications demonstrate that the method is practical in standard designs. The examples, and a simulation study, also provide evidence about the reliability and validity of parameter estimates from the linear ballistic accumulator model. We conclude by highlighting the potential of the parameter-correlation method to provide an “assumption-light” tool for estimating the relatedness of cognitive processes across tasks, contexts, and time.

Open Access Status

This publication is not available as open access

Volume

53

Issue

1

First Page

78

Last Page

95

Funding Number

DE170100177

Funding Sponsor

Australian Research Council

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Link to publisher version (DOI)

http://dx.doi.org/10.3758/s13428-020-01405-4