Hi Everyone,
Was hoping to 'prod' your intellectual minds with this quandry:
Variable A, B, C, and D are measured during treatment and after treatment. This is a repeated measures design, with participants being in both the treatment and post-treatment conditions. When testing changes in the four variables, the following emerges:
Variables A and B remain relatively stable and there is no significant change.
Variable C changes in terms of significant improvement.
Variable D changes in terms of significant worsening.
A was correlated with B and D during treatment, but has then only remained correlated with one of these variables after treatment.
What are the possible explanations for this? Would it be viable to infer that B has not changed because A has not changed? This seems difficult to imply when variable D did change, regardless of being associated with A prior to this change. What other options are available for detecting possible reasons behind these results?
Kind Regards,
Nicola Davies,
BSc; MSc Comm.; PhD Researcher
Researcher at the University of Oxford
|