This supplement to. Hayes, A. F. (2017). Partial, conditional, and moderated moderated mediation: Quantification,
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1 This supplement to Hayes, A. F. (2017). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Manuscript in review contains versions of Appendices 1, 2, and 3 with PROCESS code and output from version 2 rather than version 3. Version 3 has not yet been publicly released. The indices of partial, conditional, and moderated moderation mediation are available as of version 2.16, released in July of The syntax structure in PROCESS version 3 is different in some important ways compared to version 2, so the PROCESS commands in the appendices in the manuscript will not work in version 2.16.
2 Appendix 1 PROCESS version 2.16 code and output: SPSS: process vars=binladen stereo mcivil sex age ideo/y=mcivil/x=binladen/ m=stereo/w=age/z=sex/model=9/percent=1/boot= SAS: %process (data=binladen,vars=binladen stereo mcivil sex age ideo, y=mcivil,x=binladen,m=stereo,w=age,z=sex,model=9,percent=1,boot=10000); *************** PROCESS Procedure for SPSS Release 2.16 ****************** = 9 Y = mcivil X = binladen M = stereo W = age Z = sex Statistical Controls: CONTROL= ideo Sample size 661 Outcome: stereo constant binladen age int_ sex int_ ideo Product terms key: int_1 binladen X age int_2 binladen X sex Outcome: mcivil
3 constant stereo binladen ideo ******************** DIRECT AND INDIRECT EFFECTS ************************* Direct effect of X on Y Effect SE t p LLCI ULCI Conditional indirect effect(s) of X on Y at values of the moderator(s): age sex Effect Boot SE BootLLCI BootULCI stereo stereo stereo stereo stereo stereo Values for quantitative moderators are the mean and plus/minus one SD from mean. Values for dichotomous moderators are the two values of the moderator. ***************** INDEX OF PARTIAL MODERATED MEDIATION ******************* Moderator: age Index SE(Boot) BootLLCI BootULCI stereo Moderator: sex Index SE(Boot) BootLLCI BootULCI stereo When the moderator is dichotomous, this is a test of equality of the conditional indirect effects in the two groups.
4 Appendix 2 PROCESS version 2.16 code and output SPSS: process vars=binladen stereo mcivil sex age ideo/y=mcivil/x=binladen/ m=stereo/w=age/z=sex/model=11/percent=1/boot= SAS: %process (data=binladen,vars=binladen stereo mcivil sex age ideo, y=mcivil,x=binladen,m=stereo,w=age,z=sex,model=11,percent=1,boot=10000); *************** PROCESS Procedure for SPSS Release 2.16 ****************** = 11 Y = mcivil X = binladen M = stereo W = age Z = sex Statistical Controls: CONTROL= ideo Sample size 661 Outcome: stereo constant binladen age int_ sex int_ int_ int_ ideo Product terms key: int_1 binladen X age int_2 binladen X sex int_3 age X sex int_4 binladen X age X sex
5 Outcome: mcivil constant stereo binladen ideo ******************** DIRECT AND INDIRECT EFFECTS ************************* Direct effect of X on Y Effect SE t p LLCI ULCI Conditional indirect effect(s) of X on Y at values of the moderator(s): age sex Effect Boot SE BootLLCI BootULCI stereo stereo stereo stereo stereo stereo Values for quantitative moderators are the mean and plus/minus one SD from mean. Values for dichotomous moderators are the two values of the moderator. ************* MODERATED AND CONDITIONAL MODERATED MEDIATION ************** INDEX OF MODERATED MODERATED MEDIATION: Index SE(Boot) BootLLCI BootULCI stereo INDEX OF CONDITIONAL MODERATED MEDIATION: Moderator: age sex Index SE(Boot) BootLLCI BootULCI stereo stereo
6 Moderator: sex age Index SE(Boot) BootLLCI BootULCI stereo stereo stereo
7 Appendix 3 PROCESS version 2.16 code and output SPSS: process vars=binladen stereo mcivil sex age ideo/y=mcivil/x=binladen/ m=stereo/w=age/v=sex/model=21/percent=1/boot= SAS: %process (data=binladen,vars=binladen stereo mcivil sex age ideo, y=mcivil,x=binladen,m=stereo,w=age,v=sex,model=21,percent=1,boot=10000); Run MATRIX procedure: *************** PROCESS Procedure for SPSS Release 2.16 ****************** = 21 Y = mcivil X = binladen M = stereo W = age V = sex Statistical Controls: CONTROL= ideo Sample size 661 Outcome: stereo constant binladen age int_ ideo Product terms key: int_1 binladen X age Outcome: mcivil
8 constant stereo binladen sex int_ ideo Product terms key: int_2 stereo X sex ******************** DIRECT AND INDIRECT EFFECTS ************************* Direct effect of X on Y Effect SE t p LLCI ULCI Conditional indirect effect(s) of X on Y at values of the moderator(s): age sex Effect Boot SE BootLLCI BootULCI stereo stereo stereo stereo stereo stereo Values for quantitative moderators are the mean and plus/minus one SD from mean. Values for dichotomous moderators are the two values of the moderator. ************* MODERATED AND CONDITIONAL MODERATED MEDIATION ************** INDEX OF MODERATED MODERATED MEDIATION: Index SE(Boot) BootLLCI BootULCI stereo INDEX OF CONDITIONAL MODERATED MEDIATION: Moderator: age sex Index SE(Boot) BootLLCI BootULCI stereo stereo
9 Moderator: sex age Index SE(Boot) BootLLCI BootULCI stereo stereo stereo When the moderator is dichotomous, this is a test of equality of the conditional indirect effects in the two groups.
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