RM anova or Factorial Anova?
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I have an intervention in a group of schools. I think I need to use RM anova since RM Anova is 1 factor between subjects and other one within subjects (time) while factorial anova is two factors between subjects -is it correct? I have 4 subscales and I have pre and post scores. I want to see if the intervention was effective or not. Also one other question my control group is much smaller than my intervention group due to availability. Thanks for your advice.
anova
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I have an intervention in a group of schools. I think I need to use RM anova since RM Anova is 1 factor between subjects and other one within subjects (time) while factorial anova is two factors between subjects -is it correct? I have 4 subscales and I have pre and post scores. I want to see if the intervention was effective or not. Also one other question my control group is much smaller than my intervention group due to availability. Thanks for your advice.
anova
New contributor
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add a comment |
$begingroup$
I have an intervention in a group of schools. I think I need to use RM anova since RM Anova is 1 factor between subjects and other one within subjects (time) while factorial anova is two factors between subjects -is it correct? I have 4 subscales and I have pre and post scores. I want to see if the intervention was effective or not. Also one other question my control group is much smaller than my intervention group due to availability. Thanks for your advice.
anova
New contributor
$endgroup$
I have an intervention in a group of schools. I think I need to use RM anova since RM Anova is 1 factor between subjects and other one within subjects (time) while factorial anova is two factors between subjects -is it correct? I have 4 subscales and I have pre and post scores. I want to see if the intervention was effective or not. Also one other question my control group is much smaller than my intervention group due to availability. Thanks for your advice.
anova
anova
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asked 1 hour ago
joanmillerjoanmiller
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You certainly need to account for the dependence of the data, so regular ANOVA is not an option. However, RM-ANOVA makes assumptions that are rarely met in repeated measures - in particular, it assumes sphericity.
It would probably be better to use a multilevel model. These make fewer assumptions.
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$begingroup$
You certainly need to account for the dependence of the data, so regular ANOVA is not an option. However, RM-ANOVA makes assumptions that are rarely met in repeated measures - in particular, it assumes sphericity.
It would probably be better to use a multilevel model. These make fewer assumptions.
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add a comment |
$begingroup$
You certainly need to account for the dependence of the data, so regular ANOVA is not an option. However, RM-ANOVA makes assumptions that are rarely met in repeated measures - in particular, it assumes sphericity.
It would probably be better to use a multilevel model. These make fewer assumptions.
$endgroup$
add a comment |
$begingroup$
You certainly need to account for the dependence of the data, so regular ANOVA is not an option. However, RM-ANOVA makes assumptions that are rarely met in repeated measures - in particular, it assumes sphericity.
It would probably be better to use a multilevel model. These make fewer assumptions.
$endgroup$
You certainly need to account for the dependence of the data, so regular ANOVA is not an option. However, RM-ANOVA makes assumptions that are rarely met in repeated measures - in particular, it assumes sphericity.
It would probably be better to use a multilevel model. These make fewer assumptions.
answered 25 mins ago
Peter Flom♦Peter Flom
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