<HashMap><database>biostudies-literature</database><scores/><additional><submitter>McNeish D</submitter><funding>NIDA NIH HHS</funding><funding>National Institutes of Health</funding><funding>National Institute on Drug Abuse</funding><pagination>807-822</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8562472</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>28(5)</volume><pubmed_abstract>Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales. However, applications of intensive longitudinal methods often rely on simple sums or averages of the administered items rather than considering a proper measurement model. This paper demonstrates how to incorporate measurement models into DSEM to (1) provide more rigorous measurement of constructs used in intensive longitudinal studies and (2) assess whether scales are invariant across time and across people, which is not possible when item responses are summed or averaged. We provide an example from an ecological momentary assessment study on self-regulation in adults with binge eating disorder and walkthrough how to fit the model in M&lt;i>plus&lt;/i> and how to interpret the results.</pubmed_abstract><journal>Structural equation modeling : a multidisciplinary journal</journal><pubmed_title>Measurement in Intensive Longitudinal Data.</pubmed_title><pmcid>PMC8562472</pmcid><funding_grant_id>UH3DA041713</funding_grant_id><funding_grant_id>UH3 DA041713</funding_grant_id><funding_grant_id>R37DA09757</funding_grant_id><funding_grant_id>P30 DA029926</funding_grant_id><funding_grant_id>UH2DA041713</funding_grant_id><funding_grant_id>R37 DA009757</funding_grant_id><funding_grant_id>UH2 DA041713</funding_grant_id><pubmed_authors>McNeish D</pubmed_authors><pubmed_authors>Mackinnon DP</pubmed_authors><pubmed_authors>Poldrack RA</pubmed_authors><pubmed_authors>Marsch LA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Measurement in Intensive Longitudinal Data.</name><description>Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales. However, applications of intensive longitudinal methods often rely on simple sums or averages of the administered items rather than considering a proper measurement model. This paper demonstrates how to incorporate measurement models into DSEM to (1) provide more rigorous measurement of constructs used in intensive longitudinal studies and (2) assess whether scales are invariant across time and across people, which is not possible when item responses are summed or averaged. We provide an example from an ecological momentary assessment study on self-regulation in adults with binge eating disorder and walkthrough how to fit the model in M&lt;i>plus&lt;/i> and how to interpret the results.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2025-04-04T07:50:59.056Z</modification><creation>2025-04-04T07:50:59.056Z</creation></dates><accession>S-EPMC8562472</accession><cross_references><pubmed>34737528</pubmed><doi>10.1080/10705511.2021.1915788</doi></cross_references></HashMap>