{"title":"Latent profile transition analyses and growth mixture models: A very non-technical guide for researchers in child and adolescent development.","authors":"Sara K Johnson","doi":"10.1002/cad.20398","DOIUrl":null,"url":null,"abstract":"<p><p>Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and growth mixture models, are highly relevant to developmental science because they can identify subgroups of people who are similar in their patterns of change. This guide highlights foundational aspects of these two types of models and is intended for readers who have not previously conducted either an LPTA or a GMM, or perhaps no mixture model analyses at all. It includes four primary sections. The first focuses on understanding mixture models conceptually and applying that knowledge to identifying appropriate research questions. The second section addresses data requirements, including planning for data collection or evaluating the suitability of previously collected data, and data preparation. The third section focuses on conducting analyses, with step-by-step instructions and syntax, and the final section discusses presenting the results. I illustrate these concepts and procedures with an example data set and research questions derived from the Five Cs model of positive youth development.</p>","PeriodicalId":47745,"journal":{"name":"New Directions for Child and Adolescent Development","volume":"2021 175","pages":"111-139"},"PeriodicalIF":3.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cad.20398","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Directions for Child and Adolescent Development","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1002/cad.20398","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/2/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 30
Abstract
Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and growth mixture models, are highly relevant to developmental science because they can identify subgroups of people who are similar in their patterns of change. This guide highlights foundational aspects of these two types of models and is intended for readers who have not previously conducted either an LPTA or a GMM, or perhaps no mixture model analyses at all. It includes four primary sections. The first focuses on understanding mixture models conceptually and applying that knowledge to identifying appropriate research questions. The second section addresses data requirements, including planning for data collection or evaluating the suitability of previously collected data, and data preparation. The third section focuses on conducting analyses, with step-by-step instructions and syntax, and the final section discusses presenting the results. I illustrate these concepts and procedures with an example data set and research questions derived from the Five Cs model of positive youth development.
期刊介绍:
The mission of New Directions for Child and Adolescent Development is to provide scientific and scholarly presentations on cutting edge issues and concepts in the field of child and adolescent development. Each issue focuses on a specific new direction or research topic, and is peer reviewed by experts on that topic. Any topic in the domain of child and adolescent development can be the focus of an issue. Topics can include social, cognitive, educational, emotional, biological, neuroscience, health, demographic, economical, and socio-cultural issues that bear on children and youth, as well as issues in research methodology and other domains. Topics that bridge across areas are encouraged, as well as those that are international in focus or deal with under-represented groups. The readership for the journal is primarily students, researchers, scholars, and social servants from fields such as psychology, sociology, education, social work, anthropology, neuroscience, and health. We welcome scholars with diverse methodological and epistemological orientations.