I want to study the effect of covariates (age, sex, cause of injury, lesions, income, subjective social status), and these are multi categorical. Can anyone suggest how to add them in my model of analysis?
Should I transform them into dummy variables or what?
I firstly put them as they are in SPSS, and it shows output without error.
Response will be highly appreciated
The hypothesized mediator (M) is used to assess the influence of X (the independent variable) on Y (the dependent variable) in this model. Furthermore, the model posits that W (moderating variable) moderates the influence of X on Y. In the model, the indirect impact is calculated as the product of pathways A and B1 IE= a*b1.
Thank you for your response Sandeep Kumar . I am concerned about adding multi-categorical covariates as dummy variables. Is it necessary to convert nominal covariates to dummy variables, before using them in moderation/mediation analysis? (covariates: age, sex, education, cause of injury, injury characteristics, income, social status, marital status)
IV,DV,M,W all are continuous in my study
Covariates (independent variables) that are nominal need to be coded (e.g., using dummy coding). Ordered categorical independent variables could potentially be included as is (without coding) although coding may be useful in some cases.
When using categorical variables as endogenous (dependent) variables, things become more complicated.
Thank you Christian Geiser for your detailed response. Can you please refer any Youtube video/article explaining how to run moderation/mediation analysis using dummy covariates?
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