Statistical mediation analysis with a multicategorical independent variable.

By Andrew F. Hayes, Kristopher J Preacher. British Journal of Mathematical & Statistical Psychology, 2014

3,368 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/135ffd16c26b3cde50fa194a0c8eccf420491070

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

Decorative pictures and emotional design in multimedia learning (2016, methodology): “For this , a series of regression analyses according to Preacher and Hayes (2008) and Hayes and Preacher (2014) was run to explore the role of pleasure in mediating the learning performance in the two manipulations of valence (see Fig.”
The interpersonal effects of emotion intensity in customer service: Perceived appropriateness and authenticity of attendants' emotional displays shape customer trust and satisfaction (2018, positive): “To test whether appropriateness and/or authenticity mediated the association between emotion intensity and trust, we used the PROCESS (Model 4) extension to SPSS (Hayes & Preacher, 2013).”
Effects of Goal Framing and Emotions on Perceived Threat and Willingness to Sacrifice for Climate Change (2017, methodology): “To test these hypotheses, we conducted mediation analyses for multicategorial independent variables using the PROCESS macro for SPSS (Hayes & Preacher, 2014).”
Procrastination and Stress: Exploring the Role of Self-compassion (2014, positive): “A test of the homogeneity of regression slopes or the “no interaction assumption” was also conducted for each of the samples using the Preacher and Hayes macro MEDIATE (Preacher & Hayes, 2012).”
Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation (2018, background): “Hayes and Preacher (2014) discuss mediation analysis with a multicategorical X, and Hayes and Montoya (2017) provide a tutorial on moderation analysis when one of the variables (moderator or independent variable) is multicategorical and the other is continuous or dichotomous.”
Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. (2017, background): “Hayes and Preacher (2014) describe a procedure for regression-based mediation analysis when X is multicategorical.”
Advances in mediation analysis: a survey and synthesis of new developments. (2015, background): “…codes, D2, D3, and D4, respectively contrasting groups 2, 3, and 4 to the reference group 1: Y i = i2 + c ′2 D2i + c ′3 D3i + c ′4 D4i + b M i + e2i M i = i3 + a2 D2i + a3 D3i + a4 D4i + e3i (6) Three relative indirect effects (Hayes & Preacher 2014) are implied by this model: a2b , a3b , and a4b .”