Structural equation modeling
Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communicatio...
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| Format: | Book Chapter |
| Language: | English |
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Sage Publications
2023
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| Online Access: | https://hdl.handle.net/10356/165157 |
| _version_ | 1811692230799261696 |
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| author | Rosenthal, Sonny |
| author2 | M. Allen |
| author_facet | M. Allen Rosenthal, Sonny |
| author_sort | Rosenthal, Sonny |
| collection | NTU |
| description | Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communication research are confirmatory factor analysis (CFA) and path analysis. Confirmatory factor analysis specifies one or more unobserved constructs, or latent factors, that a number of observed indicators define. This analysis is useful for validating the composition of multiple-item indices or scales. The other common use of SEM, path analysis, estimates correlation and regression paths among structural nodes, which may include both observed variables and latent factors. When path analysis includes latent factors, the definition of those factors is equivalent to CFA and is the basis of a measurement model. The specification of paths among latent factors and observed variables constitutes a structural model. Whatever the intended use of SEM in communication research, it should be based on careful theoretical considerations. This entry conducts a detailed examination of the general approaches researchers can take to utilize SEM, as well as its various uses. |
| first_indexed | 2024-10-01T06:32:29Z |
| format | Book Chapter |
| id | ntu-10356/165157 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:32:29Z |
| publishDate | 2023 |
| publisher | Sage Publications |
| record_format | dspace |
| spelling | ntu-10356/1651572023-03-19T15:32:17Z Structural equation modeling Rosenthal, Sonny M. Allen Wee Kim Wee School of Communication and Information Social sciences::Communication Communication Research Mediation Sociology Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communication research are confirmatory factor analysis (CFA) and path analysis. Confirmatory factor analysis specifies one or more unobserved constructs, or latent factors, that a number of observed indicators define. This analysis is useful for validating the composition of multiple-item indices or scales. The other common use of SEM, path analysis, estimates correlation and regression paths among structural nodes, which may include both observed variables and latent factors. When path analysis includes latent factors, the definition of those factors is equivalent to CFA and is the basis of a measurement model. The specification of paths among latent factors and observed variables constitutes a structural model. Whatever the intended use of SEM in communication research, it should be based on careful theoretical considerations. This entry conducts a detailed examination of the general approaches researchers can take to utilize SEM, as well as its various uses. Submitted/Accepted version 2023-03-16T04:53:42Z 2023-03-16T04:53:42Z 2017 Book Chapter Rosenthal, S. (2017). Structural equation modeling. M. Allen (Eds.), The SAGE Encyclopedia of Communication Research Methods (pp. 1683-1687). Sage Publications. https://hdl.handle.net/10356/165157 978-1-483-38143-5 https://hdl.handle.net/10356/165157 10.4135/9781483381411 1683 1687 en The SAGE Encyclopedia of Communication Research Methods © 2017 by SAGE Publications. All rights reserved. This book/book chapter is made available with permission of SAGE Publications. application/pdf Sage Publications |
| spellingShingle | Social sciences::Communication Communication Research Mediation Sociology Rosenthal, Sonny Structural equation modeling |
| title | Structural equation modeling |
| title_full | Structural equation modeling |
| title_fullStr | Structural equation modeling |
| title_full_unstemmed | Structural equation modeling |
| title_short | Structural equation modeling |
| title_sort | structural equation modeling |
| topic | Social sciences::Communication Communication Research Mediation Sociology |
| url | https://hdl.handle.net/10356/165157 |
| work_keys_str_mv | AT rosenthalsonny structuralequationmodeling |