Hi, I'm writing a research paper for a theoretical experiment.
It's a repeated measure design. The estimated sample size is 385, consisting of 3 to 12-year-old participants who would be exposed to 4 different intervention methods and then complete a Wong-Baker faces pain scale (children under 8) or a Likert scale ( children 8 and above).
What quantitative data analysis would be appropriate?
I assume that there will be 4 groups of participants, with each group being exposed on one of the 4 interventions. It it not stated how many repeated measures there will be, but a common design would be for all groups to have one pre-tests and one post-test. Then if would be a 4 by 2 mixed experimental design, with the first factor being between-group, and the second being a within-subject factor.
If there is some attrition expected, then a common procedure used to analyse the result would be Linear Mixed Modelling (LMM), with a random intercept and slope. If the dependent variable is not (sufficiently) normally distributed, then Generalized LMM could be used.
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