{"title":"8发展方法论的过去、现在和未来。","authors":"Todd D Little, Eugene W Wang, Britt K Gorrall","doi":"10.1111/mono.12302","DOIUrl":null,"url":null,"abstract":"<p><p>This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in developmental methodology, discussing the implementation and dissemination of latent variable modeling and, in particular, longitudinal structural equation modeling. It then turns to the present state of developmental methodology, highlighting current methodological advances in the field. Additionally, this section summarizes ample quantitative resources, ranging from key quantitative methods journal articles to the various quantitative methods training programs and institutes. The chapter concludes with the future of developmental methodology and puts forth seven future innovations in the field. The innovations discussed span the topics of measurement, modeling, temporal design, and planned missing data designs. Lastly, the chapter closes with a brief overview of advanced modeling techniques such as continuous time models, state space models, and the application of Bayesian estimation in the field of developmental methodology.</p>","PeriodicalId":55972,"journal":{"name":"Monographs of the Society for Research in Child Development","volume":"82 2","pages":"122-139"},"PeriodicalIF":9.4000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/mono.12302","citationCount":"5","resultStr":"{\"title\":\"VIII. THE PAST, PRESENT, AND FUTURE OF DEVELOPMENTAL METHODOLOGY.\",\"authors\":\"Todd D Little, Eugene W Wang, Britt K Gorrall\",\"doi\":\"10.1111/mono.12302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in developmental methodology, discussing the implementation and dissemination of latent variable modeling and, in particular, longitudinal structural equation modeling. It then turns to the present state of developmental methodology, highlighting current methodological advances in the field. Additionally, this section summarizes ample quantitative resources, ranging from key quantitative methods journal articles to the various quantitative methods training programs and institutes. The chapter concludes with the future of developmental methodology and puts forth seven future innovations in the field. The innovations discussed span the topics of measurement, modeling, temporal design, and planned missing data designs. Lastly, the chapter closes with a brief overview of advanced modeling techniques such as continuous time models, state space models, and the application of Bayesian estimation in the field of developmental methodology.</p>\",\"PeriodicalId\":55972,\"journal\":{\"name\":\"Monographs of the Society for Research in Child Development\",\"volume\":\"82 2\",\"pages\":\"122-139\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/mono.12302\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Monographs of the Society for Research in Child Development\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1111/mono.12302\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Monographs of the Society for Research in Child Development","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/mono.12302","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
VIII. THE PAST, PRESENT, AND FUTURE OF DEVELOPMENTAL METHODOLOGY.
This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in developmental methodology, discussing the implementation and dissemination of latent variable modeling and, in particular, longitudinal structural equation modeling. It then turns to the present state of developmental methodology, highlighting current methodological advances in the field. Additionally, this section summarizes ample quantitative resources, ranging from key quantitative methods journal articles to the various quantitative methods training programs and institutes. The chapter concludes with the future of developmental methodology and puts forth seven future innovations in the field. The innovations discussed span the topics of measurement, modeling, temporal design, and planned missing data designs. Lastly, the chapter closes with a brief overview of advanced modeling techniques such as continuous time models, state space models, and the application of Bayesian estimation in the field of developmental methodology.
期刊介绍:
Since 1935, Monographs of the Society for Research in Child Development has been a platform for presenting in-depth research studies and significant findings in child development and related disciplines. Each issue features a single study or a collection of papers on a unified theme, often complemented by commentary and discussion. In alignment with all Society for Research in Child Development (SRCD) publications, the Monographs facilitate the exchange of data, techniques, research methods, and conclusions among development specialists across diverse disciplines. Subscribing to the Monographs series also includes a full subscription (6 issues) to Child Development, the flagship journal of the SRCD, and Child Development Perspectives, the newest journal from the SRCD.