Applied structural equation modelling for researchers and practitioners : using R and Stata for behavioural research / by Indranarain Ramlall.
Material type:
TextPublisher: Emerald Group Publishing Limited, Description: 1 online resource (152 pages) illustrationsISBN: 9781786358820 (e-book)Subject(s): Structural equation modeling | Education -- Teaching Methods & Materials / Social Science | SociologyAdditional physical formats: No titleDDC classification: 519.53 LOC classification: QA278.3 | .R36 2016Online resources: Click here to access online Summary: During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Social science researchers and students benefit greatly from acquiring knowledge and skills in SEM, since the methods can provide a bridge between the theoretical and empirical aspects of behavioural research. Ramlall explains in a rigorous, concise, and practical manner all the vital components embedded in structural equation modelling (SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and drawbacks of SEM, delving into model specifications and identifications, fit evaluations, and path diagrams.
| Item type | Current library | Call number | URL | Status | Date due | Barcode | Item holds |
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eBook
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Digital Library
Resources in this library are accessible in digital format e.g. eBooks or eJournals accessible online. |
QA278.3 .R36 2016 (Browse shelf(Opens below)) | Link to resource | Available |
Includes bibliographical references.
During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Social science researchers and students benefit greatly from acquiring knowledge and skills in SEM, since the methods can provide a bridge between the theoretical and empirical aspects of behavioural research. Ramlall explains in a rigorous, concise, and practical manner all the vital components embedded in structural equation modelling (SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and drawbacks of SEM, delving into model specifications and identifications, fit evaluations, and path diagrams.
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