- Title
- Identifying relationships between cognitive processes across tasks, contexts, and time
- Creator
- Wall, Laura; Gunawan, David; Brown, Scott D.; Tran, Minh-Ngoc; Kohn, Robert; Hawkins, Guy E.
- Relation
- ARC.180102195.DP180102195 http://purl.org/au-research/grants/arc/DP180102195
- Relation
- Behavior Research Methods Vol. 53, Issue 1, p. 78-95
- Publisher Link
- http://dx.doi.org/10.3758/s13428-020-01405-4
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2021
- Description
- 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.
- Subject
- cognitive model; correlation; covariance; individual differences; latent processes; LBA model
- Identifier
- http://hdl.handle.net/1959.13/1433391
- Identifier
- uon:39239
- Identifier
- ISSN:1554-351X
- Rights
- This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.3758/s13428-020-01405-4
- Language
- eng
- Full Text
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