<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zorowitz S</submitter><funding>National Center for Advancing Translational Sciences</funding><funding>NCATS NIH HHS</funding><funding>National Institute of Mental Health</funding><funding>National Institutes of Health</funding><funding>National Science Foundation</funding><pagination>789-797</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10440239</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(8)</volume><pubmed_abstract>Cognitive tasks are capable of providing researchers with crucial insights into the relationship between cognitive processing and psychiatric phenomena. However, many recent studies have found that task measures exhibit poor reliability, which hampers their usefulness for individual differences research. Here, we provide a narrative review of approaches to improve the reliability of cognitive task measures. Specifically, we introduce a taxonomy of experiment design and analysis strategies for improving task reliability. Where appropriate, we highlight studies that are exemplary for improving the reliability of specific task measures. We hope that this article can serve as a helpful guide for experimenters who wish to design a new task, or improve an existing one, to achieve sufficient reli</pubmed_abstract><journal>Biological psychiatry. Cognitive neuroscience and neuroimaging</journal><pubmed_title>Improving the Reliability of Cognitive Task Measures: A Narrative Review.</pubmed_title><pmcid>PMC10440239</pmcid><funding_grant_id>83,84</funding_grant_id><funding_grant_id>81,82</funding_grant_id><funding_grant_id>UL1 TR003017</funding_grant_id><funding_grant_id>UL1TR003017a</funding_grant_id><pubmed_authors>Niv Y</pubmed_authors><pubmed_authors>Zorowitz S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improving the Reliability of Cognitive Task Measures: A Narrative Review.</name><description>Cognitive tasks are capable of providing researchers with crucial insights into the relationship between cognitive processing and psychiatric phenomena. However, many recent studies have found that task measures exhibit poor reliability, which hampers their usefulness for individual differences research. Here, we provide a narrative review of approaches to improve the reliability of cognitive task measures. Specifically, we introduce a taxonomy of experiment design and analysis strategies for improving task reliability. Where appropriate, we highlight studies that are exemplary for improving the reliability of specific task measures. We hope that this article can serve as a helpful guide for experimenters who wish to design a new task, or improve an existing one, to achieve sufficient reli</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Aug</publication><modification>2025-04-04T00:08:45.53Z</modification><creation>2025-04-04T00:08:45.53Z</creation></dates><accession>S-EPMC10440239</accession><cross_references><pubmed>36842498</pubmed><doi>10.1016/j.bpsc.2023.02.004</doi></cross_references></HashMap>