Hi everyone,
I have longitudinal data for the same set of 300 subjects over seven years. Can I use '''year' as a control variable? Initially, I used one way ANOVA and found no significant different across seven years in each construct.
Which approach is more appropriate?. Pooling time series after ANOVA (if not significant) or using 'year' as a control variable?
I thinking, when there is no significant difference found Through, its improper to use it as control variable. Better is allow PLS to create its own groups if any were present in the data.
Thank you very much Shamas Suleman Arshad for your contribution. I applied one-way ANOVA and year as a grouping variable. It shows some significance but Tukey's posthoc test is not significant across a few years. This difference varies for each construct. Also, the mean difference across years is very small. This means the effect size of the significant difference should also be trivial. However, instead of adding ANOVA as a preliminary test, I directly want to control time-factor (year) in PLS-SEM. Have you seen any study which has controlled time-factor in SMART PLS or PLS_SEM? I think that controlling time factor in PLS-SEM can be more effective, considering less measurement error in the second generation multivariate analysis PLS-SEM.
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