I am designing a study looking at mental health outcomes of a population that had a certain exposure a year ago. While modeling the growth curve of the mental health outcome as related to the degree of initial exposure, I would also like to model the influences of some external factors that evolve/ take place in the next few years on the health outcome. So my study involves a panel survey to be administered a few times in the next few years, with an additional questionnaire for the 1st round that requires participants to recall their initial exposure. Should I call this a combined retrospective and prospective study? Can anyone recommend some texts that define/ describe/ comment on similar research designs (survey design, methodology, or empirical examples)? Thank you very much!
If I understand your problem, in the simplest statement there is an initial covariate (x) followed by several measurements (y1, y2, y3, ...). This seems like a good candidate for a multilevel model with time points indexed by t nested within person (say level 2). The covariate x1 is defined at the person level (say level 1 indexed by i). So a linear growth model is given by:
(1) c0_i = a0 + a1 * x_i + u_i
(2) c1_i = b0 + b1 * x_i + v_i
(3) y_{it} = c0_i + c1 * t + w_{it]
Note the random terms in (1) and (3) allow for individual growth modeling, and quadratic ad cubic terms can be added to (3) if necessary. Hope this helps.
1 Recommendation
1st Jan, 2019
Muhammad Adnan
Pakistan Health Research Council
Ambi-directional Cohort Study
1 Recommendation
1st Jan, 2019
Matthew Kerry
Zurich University of Applied Sciences
Panel study is fine: implies ongoing collections.
Hope this helps,
Matt
1 Recommendation
1st Jan, 2019
Kelvyn Jones
University of Bristol
This gives some resource on how to do the analysis in the manner of Gregory Camilli
http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#multipleresp
including this relatively short step by step worked example
http://www.bristol.ac.uk/media-library/sites/cmm/migrated/documents/repeated-measures.pdf
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