Toward Cumulative Cognitive Science
A Comparison of Meta-Analysis, Mega-Analysis, and Hybrid Approaches
Bibliographic Data
| ID | 19035646 |
|---|---|
| Authors | Ezequiel Koile (0000-0001-9387-971X, National Research University Higher School of Economics, corresponding author), Alejandrina Cristia (0000-0003-2979-4556, Laboratoire de Sciences Cognitives et Psycholinguistique, De ́partement d’e ́tudes cognitives, ENS, EHESS, CNRS, PSL University) |
| Year | 2021 |
| Volume | 5 |
| Pages | 154-173 |
| Publication date | 2021-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Open MIND (JOURNAL) |
| Journal identifiers | ISSN: 2470-2986 • E-ISSN: 2470-2986 |
| Publisher | The MIT Press (PUBLISHER • US) |
| DOI | 10.1162/opmi_a_00048 |
| PMID | 35024529 |
| OpenAlex | W3214287279 |
| Language | EN |
| Citations received | 3 |
| References cited | 26 |
There is increasing interest in cumulative approaches to science, in which instead of analyzing the results of individual papers separately, we integrate information qualitatively or quantitatively. One such approach is meta-analysis, which has over 50 years of literature supporting its usefulness, and is becoming more common in cognitive science. However, changes in technical possibilities by the widespread use of Python and R make it easier to fit more complex models, and even simulate missing data. Here we recommend the use of mega-analyses (based on the aggregation of data sets collected by independent researchers) and hybrid meta- mega-analytic approaches, for cases where raw data are available for some studies. We illustrate the three approaches using a rich test-retest data set of infants' speech processing as well as synthetic data. We discuss advantages and disadvantages of the three approaches from the viewpoint of a cognitive scientist contemplating their use, and limitations of this article, to be addressed in future work
Cognition · Mega · Meta-analysis · Cognitive Science and Mapping · Medicine · Meta-analysis and systematic reviews · Psychology
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Assessing Speech Discrimination in Individual Infants
Test–Retest Reliability in Infant Speech Perception Tasks
Robust data and power in infant research
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |