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I am working on an analysis with the following characteristics:
• There is one independent variable, group (control v. treatment, about 15 respondents in each group) • There are seven dependent variables, each measured at 3 different points in time (T1, T2, T3) • Of the dependent variables (each measured, as I said, at 3 points in time, though there were a few dropouts): One (KJ1-KJ3) is a single, normally distributed variable, which can be studied by two-way repeated measures ANOVA Two (LT1-LT3 and SA1-SA3) are normally distributed, and go together, I'd like to use a two-way (doubly multivariate?) repeated measures MANOVA, but I don't know how to do so in SPSS. Four (VAS11-VAS13, VAS21-VAS23, VAS31-VAS33, VAS41-VAS43) are non-normally distributed, I'd like to study each one separately using a non-parametric version of a two-way repeated measures ANOVA. Am looking for such a test. Friedman does not work for multiple groups, and most of the others I've seen don't work for repeated measures. • Although I'm a bit interested in the change over time, the main point of the analysis is to compare control v. treatment groups and, if relevant, the interaction between group and the various dependent variables. The below file is a layout of what the relevant data look like (actual values, except of group, left out): AnalysisQ1table.xlsx <http://spssx-discussion.1045642.n5.nabble.com/file/t341677/AnalysisQ1table.xlsx> -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
N=30 is not very many to support a multivariate analysis,
regression or whatever, unless there is are "large" effects.
Aren't some of these more important, more central, than
the others? "Too many tests" is a relevant warning.
Therefore: I think you ought to think a lot about reducing
the number of "main hypotheses" (one per variable) or
figure how to combine them by creating composite variables.
If you have a predicted difference between groups, across
time, for some subset of the variables, the simple composite
would be an average across time for each variable, followed
by a weighted average of, say, the z-scores of those scores,
so that each of the several get equal weight.
As to the "non-normal" variables: Taking the rank-transforms
for doing a "non-parametric analysis" is, frankly, taking
transformations that run into trouble in multi-variable
situations. Where do those variables come from? What do
they measure? - Very often, there is power transformation
(taking the log or reciprocal) that will create near-normality
much better than a rank-transformation does, and will allow
you to use the transformed scores in the regular ANOVAs.
Also, in the interest of reducing multiplicity of tests, and in
controlling which degrees of freedom are used up by the
analyses: Do you expect linear change? change mostly from
Period 1 to 2? You can create one or several variables which
directly measure the change, like taking the linear component,
or taking (End-First). You might do better to analyze with dummy
variables to represent the time effects, rather than work with
defining a limited number of interactions in the ANOVA.
--
Rich Ulrich
From: SPSSX(r) Discussion <[hidden email]> on behalf of Esther <[hidden email]>
Sent: Tuesday, October 29, 2019 7:26 PM To: [hidden email] <[hidden email]> Subject: MANOVA I am working on an analysis with the following characteristics:
• There is one independent variable, group (control v. treatment, about 15 respondents in each group) • There are seven dependent variables, each measured at 3 different points in time (T1, T2, T3) • Of the dependent variables (each measured, as I said, at 3 points in time, though there were a few dropouts): One (KJ1-KJ3) is a single, normally distributed variable, which can be studied by two-way repeated measures ANOVA Two (LT1-LT3 and SA1-SA3) are normally distributed, and go together, I'd like to use a two-way (doubly multivariate?) repeated measures MANOVA, but I don't know how to do so in SPSS. Four (VAS11-VAS13, VAS21-VAS23, VAS31-VAS33, VAS41-VAS43) are non-normally distributed, I'd like to study each one separately using a non-parametric version of a two-way repeated measures ANOVA. Am looking for such a test. Friedman does not work for multiple groups, and most of the others I've seen don't work for repeated measures. • Although I'm a bit interested in the change over time, the main point of the analysis is to compare control v. treatment groups and, if relevant, the interaction between group and the various dependent variables. The below file is a layout of what the relevant data look like (actual values, except of group, left out): AnalysisQ1table.xlsx <http://spssx-discussion.1045642.n5.nabble.com/file/t341677/AnalysisQ1table.xlsx> -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
In reply to this post by Esther
Does it make sense to create one or two summative score for your DV's?
It would help in suggesting approaches to analysis if you provided the meanings of your variables and the values they can take. (I.e., the variable labels, value labels, and missing value labels.) In very many instances whether the variables themselves are non-normally distributed is not of as much as whether is is plausible to assume that residuals from the model are not severely non-normal. What specifically are your concerns about normality? ----- Art Kendall Social Research Consultants -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Art Kendall
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