Mediated and Moderated Effects in Social Psychological Research: Measurement, Design, and Analysis Issues.
By R. Hoyle, Jorgianne Civey Robinson. 2004
99 citations recorded by the source corpus.
Subfields: Clinical Psychology, General Health Professions, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/280ea052e21bab86ad65347339176630d78cfe36
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Andrew F. Hayes
- Kristopher J Preacher
- Meifen Wei
- Daniel W. Russell
- David P. MacKinnon
- Brent Mallinckrodt
- Amanda J. Fairchild
- Joerg Felfe
In General Health Professions
- Jo-Ann Tsang
- Paul H. White
- W. T. Abraham
- Carol Sansone
- Andrew F. Hayes
- Daniel W. Russell
- Meifen Wei
- Kristopher J Preacher
In Sociology and Political Science
- Kristopher J Preacher
- Andrew F. Hayes
- Jessi L. Smith
- David P. MacKinnon
- Paul H. White
- Amanda J. Fairchild
- Joerg Felfe
- Daniel J. Bauer
Citations in the corpus
- Moderators of the Relationship Between Leadership Style and Employee Creativity: The Role of Task Novelty and Personal Initiative (2013, background): “…experimental settings allow for inference of causality, because independent and moderator variables ‘‘are unambiguously causally prior to the dependent variable, and . . . there is no concern that the moderator variable could be caused by the independent variable’’ (Hoyle & Robinson, 2003, p. 224).”
- Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations. (2006, background): “Further recommendations for improving causal inferences can be found in Berk (1988, 2004), Cole and Maxwell (2003), Gollob and Reichardt (1987, 1991), and Hoyle and Robinson (2004).”
- The stereotyped task engagement process: The role of interest and achievement motivation. (2007, methodology): “…task absorption were each added to the direct effects basic model described above, and this new six-term process model was regressed on interest (Hoyle & Robinson, 2004; Judd & Kenny, 1981).3 The resulting six-term process model was significant overall, F(5, 44) 12.01, p .000, and accounted for…”
- A General Model for Testing Mediation and Moderation Effects (2009, background): “…moderation effects in this context allows the researcher to identify variables that may improve or reduce the program’s ability to alter mediating variables, as well as to examine the external validity, or generalizability, of the model across different groups or settings (Hoyle and Robinson 2003).”
- Effects of social support visibility on adjustment to stress: experimental evidence. (2007, methodology): “The third is to use the statistical modeling technique of mediational analysis ( Baron & Kenny , 1986 ; Hoyle & Robinson , 2004 ; Kenny , Kashy , & Bolger , 1998 ; Shrout & Bolger , 2002 ) .”
- Advances in testing the statistical significance of mediation effects. (2006, methodology): “Hoyle and Robinson (2003) warned about the bias introduced into estimates of mediation effects by measurement error.”
- Gratitude for small and large favors: A behavioral test (2007, background): “Similarly, the strong relationship between Favor condition and grateful emotion may have prevented grateful emotion from mediating the relationship between the Favor condition and prosocial behavior (e.g., Hoyle & Robinson, 2004).”
- Contemporary approaches to assessing mediation in communication research. (2008, methodology): “By far the most popular approach to testing a hypothesis of mediation is the causal steps strategy (or serial approach; Hoyle & Robinson, 2004), in which the researcher must satisfy a series of criteria before a pattern of effects can be termed mediation.”