Longitudinal Structural Equation Modeling (Methodology in the Social Sciences)
Added by: mortezaactive2 | Karma: 28.55 | Black Hole | 6 January 2015
1
Longitudinal Structural Equation Modeling (Methodology in the Social Sciences)
Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation
Dear User, your publication has been rejected because THE LINK(-S) ARE MISSING. Each publication needs to have at least one working download link. Please see the RULES page (http://englishtips.org/?do=static&page=rules_for_publishing) for more detail. Fix your publication and send a PM to Admin or any Trusted Contributor, stating the publication title, so that we know it has been fixed and is ready for approval.
Handbook of Longitudinal Research: Design, Measurement, and Analysis
Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice.
Gender Dimension of Social Change: The Contribution of Dynamic Women's Life CoursesThis title explores the potential of longitudinal analysis as a powerful tool for appreciating the gender dimension of social change. The authors use longitudinal data to provide new insights into the changing dynamics of women's life courses today. Contributors view the data from a policy perspective and use comparative analysis from Britain, Germany, The Netherlands, Sweden and Japan to expand our understanding of women's life courses and systems of inequality.
