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Implications of the Structural Equation Model in Media Research: A Content Analysis of 20 years (1982-2001) of Communication Journals |
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Abstract:
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Structural equation modeling (SEM) is considered as one of the efficient and powerful ways of testing causal relationships empirically and contributing to theory construction. It has been applied in communication area and more specifically media research. Therefore, the main purpose of this study is to examine the application and implication of SEM in causal relationship testing in mass media research through the content analysis of published papers from journals of communication area. Eight communication-related journals, Communication Research, Communication Monographs, Human Communication Research, Journal of Advertising, Journal of Advertising Research, Journal of Broadcasting & Electronic Media, Journal of Communication, Journalism and Mass communication Quarterly, were selected and all the issues from 1982 to 2001 were searched for use of SEM. Throughout all eight journals¡¯ issues from 20 years, 83 articles were identified as using SEM analysis and among them more than half of the articles (N=47, 56.6%) were concerned about media in their causal analysis. |
Most Common Document Word Stems:
media (42), variabl (38), research (34), sem (31), model (29), use (27), 1 (26), communic (23), 2 (23), journal (21), analysi (20), causal (20), articl (17), structur (16), 3 (14), equat (12), studi (12), exposur (12), theori (11), caus (10), 0 (10), |
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Association:
Name: International Communication Association
URL: http://www.icahdq.org
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Citation:
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MLA Citation:
| Yang, Moonhee. "Implications of the Structural Equation Model in Media Research: A Content Analysis of 20 years (1982-2001) of Communication Journals" Paper presented at the annual meeting of the International Communication Association, Marriott Hotel, San Diego, CA, May 27, 2003 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p111635_index.html> |
APA Citation:
| Yang, M. , 2003-05-27 "Implications of the Structural Equation Model in Media Research: A Content Analysis of 20 years (1982-2001) of Communication Journals" Paper presented at the annual meeting of the International Communication Association, Marriott Hotel, San Diego, CA Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p111635_index.html |
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: Structural equation modeling (SEM) is considered as one of the efficient and powerful ways of testing causal relationships empirically and contributing to theory construction. It has been applied in communication area and more specifically media research. Therefore, the main purpose of this study is to examine the application and implication of SEM in causal relationship testing in mass media research through the content analysis of published papers from journals of communication area. Eight communication-related journals, Communication Research, Communication Monographs, Human Communication Research, Journal of Advertising, Journal of Advertising Research, Journal of Broadcasting & Electronic Media, Journal of Communication, Journalism and Mass communication Quarterly, were selected and all the issues from 1982 to 2001 were searched for use of SEM. Throughout all eight journals¡¯ issues from 20 years, 83 articles were identified as using SEM analysis and among them more than half of the articles (N=47, 56.6%) were concerned about media in their causal analysis. |
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| Document Type: |
.PDF |
| Page count: |
9 |
| Word count: |
1921 |
| Text sample: |
| Implications of the Structural Equation Model in Media Research: A Content Analysis of 20 years (1982-2001) of Communication Journals To determine the causal relationships among variables of interest is one of the main concerns in social science and communication research areas. Structural equation modeling (SEM) is considered as one of the efficient and powerful ways (Dillon White Rao & Filak 1997; MacKenzie 2001; Monge 1982) of testing causal relationships empirically and contributing to theory construction (Bagozzi 1984). SEM is |
| 17.0 Print (advertising) and newspaper 1 2.1 Electronic mail 2 4.3 Film 2 4.3 Total 47* 100 ----------------------------------------------------------------------------------------------- *Only the studies using media variable in both survey and experimental method are included in this table. 1) Television commercials television shopping channel and general television program 2) Magazine content and magazine advertising 8 |
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