11/5/2022 0 Comments Spss 22 syntax![]() ![]() #Spss 22 syntax codeA model code must be specified in this version. Several mediators can be added and also several covariates. The SPSS code shown here is based on version 2. Version 3 of this macro can be downloaded from. In SPSS the PROCESS macro can be used to analyse a (moderated) mediation model. Finally, the moderators are called moderatorVariable1 and moderatorVariable2. (the intermediate variables in the causal chain), the dependent variable is called dependentVariable (the last variable in the causal chain), and covariates are called covariate1, covariate2, etc. In these examples, the dataset/dataframe is called dat, the predictor (the first variable in the causal chain) is called predictorVariable, the mediators are called mediatorVariable1, mediatorVariable2, etc. Note Before using this information and the product it supports, read the information in Notices on page 31. The PROCESS macro (SPSS) uses different model numbers to distinguish these models. ![]() The path from predictor to mediator can be moderated by a moderator designated as”w“, while the path from mediator to dependent variable can be moderated by a moderator designated as”v". A moderator strengthens or weakens the relation between two variables. Likewise, the path between the mediators and the dependent variable can be moderated by another moderator. The causal path between the predictor and the mediator(s) can be moderated by a moderator. Why even use SPSS syntax The single best SPSS practice is doing everything from syntax. Just leave and ignore this, it's not meant for you but, rather, some kind of note to self from SPSS. Moderation and mediation models can also be combined. When saving syntax in newer SPSS versions, something like Encoding: UTF-8. Note that mediation by definition entails strong assumptions regarding causality, which require longitudinal designs and almost always experimental independent manipulation of the predictor (and if possible mediator). Mediation refers to a causal model in which the relation between the predictor and the dependent variable is mediated by one or more other variables (“the mediators).
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