Hi, I am using SmartPLS for moderation analysis.
I have three moderators: gender, age, and experience. Two gender groups (male and female), four age groups (less than 30 years old, 30-39 years old, 40-49 years old, and more than 50 years old), and four experience groups (no experience, less than 2 years, 2-4 years, and more than 5 years).
Given the fact that age and experience have more than two groups, which approach in PLS should I use for moderation analysis? Interaction effect? or Multigroup Analysis (MGA)? And how?
If you happen to have some readings, like articles, theses, or books for sharing, I would be very grateful for that! Thank you very much!!
You are using categorical and continuous moderators. This article suggests that your conceptual model, which involves multiple groups, cannot be analyzed (using the interaction effect) if the moderator is continuous. Can you recode the measurement level of the variables?
https://web.pdx.edu/~newsomj/semclass/ho_moderation.pdf
Rory Weems Thank you! I think I have categorical moderators since gender, age, and experience are all categorized into groups (participants just chose the groups that they fell in in the survey). In my situation, which approach should I use? interaction effect or MGA? THANK YOU!
- Badges
- Science topic
- Similar topics
- Statistics
- Survey