Tamara Schamberger, Florian Schuberth, J. Henseler
{"title":"Confirmatory composite analysis in human development research","authors":"Tamara Schamberger, Florian Schuberth, J. Henseler","doi":"10.1177/01650254221117506","DOIUrl":null,"url":null,"abstract":"Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA’s use by means of an illustrative example.","PeriodicalId":13880,"journal":{"name":"International Journal of Behavioral Development","volume":"47 1","pages":"89 - 100"},"PeriodicalIF":2.4000,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Behavioral Development","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/01650254221117506","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 3
Abstract
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that known from CFA. As a remedy, this article presents confirmatory composite analysis (CCA), a statistical approach suitable to assess composites. CCA is a special type of structural equation modeling that consists of model specification, model identification, model estimation, and model assessment. This article explains CCA and its steps. In addition, it illustrates CCA’s use by means of an illustrative example.
期刊介绍：
The International Journal of Behavioral Development is the official journal of the International Society for the Study of Behavioural Development, which exists to promote the discovery, dissemination and application of knowledge about developmental processes at all stages of the life span - infancy, childhood, adolescence, adulthood and old age. The Journal is already the leading international outlet devoted to reporting interdisciplinary research on behavioural development, and has now, in response to the rapidly developing fields of behavioural genetics, neuroscience and developmental psychopathology, expanded its scope to these and other related new domains of scholarship. In this way, it provides a truly world-wide platform for researchers which can facilitate a greater integrated lifespan perspective. In addition to original empirical research, the Journal also publishes theoretical and review papers, methodological papers, and other work of scientific interest that represents a significant advance in the understanding of any aspect of behavioural development. The Journal also publishes papers on behaviour development research within or across particular geographical regions. Papers are therefore considered from a wide range of disciplines, covering all aspects of the lifespan. Articles on topics of eminent current interest, such as research on the later life phases, biological processes in behaviour development, cross-national, and cross-cultural issues, and interdisciplinary research in general, are particularly welcome.
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