Understanding and Using Mediators and Moderators
Mediation and moderation are two theories for refining and understanding a causal relationship. Empirical investigation of mediators and moderators requires an integrated research design rather than the data analyses driven approach often seen in the literature. This paper described the conceptual f...
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Published in | Social indicators research Vol. 87; no. 3; pp. 367 - 392 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer
01.07.2008
Springer Netherlands Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Mediation and moderation are two theories for refining and understanding a causal relationship. Empirical investigation of mediators and moderators requires an integrated research design rather than the data analyses driven approach often seen in the literature. This paper described the conceptual foundation, research design, data analysis, as well as inferences involved in a mediation and/or moderation investigation in both experimental and non-experimental (i.e., correlational) contexts. The essential distinctions between the investigation of mediators and moderators were summarized and juxtaposed in an example of a causal relationship between test difficulty and test anxiety. In addition, the more elaborate models, moderated mediation and mediated moderation, the use of structural equation models, and the problems with model misspecification were discussed conceptually. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0303-8300 1573-0921 |
DOI: | 10.1007/s11205-007-9143-1 |