What is the conceptual difference between repeated measures and comparing means in ANOVA? The other important thing, is how to do it in SPSS (how to sort data)?
HI,
When using ANOVA, there will be one continuous DV and one Nominal IV {groups or categorical variable- these groups are INDEPENDENT}. This is done lets say cross-sectional studies, or when there is no change over time. if one get significant results, then it is followed by Post-hoc test to identify the differences BETWEEN which groups.
On the other hand, repeated measures ANOVA is the equivalent of the one-way ANOVA, but for RELATED, (not independent groups), and is the extension of the dependent t-test. A repeated measures ANOVA is also referred to as a within-subjects ANOVA or ANOVA for correlated samples.
hope this help
good luck
HI,
When using ANOVA, there will be one continuous DV and one Nominal IV {groups or categorical variable- these groups are INDEPENDENT}. This is done lets say cross-sectional studies, or when there is no change over time. if one get significant results, then it is followed by Post-hoc test to identify the differences BETWEEN which groups.
On the other hand, repeated measures ANOVA is the equivalent of the one-way ANOVA, but for RELATED, (not independent groups), and is the extension of the dependent t-test. A repeated measures ANOVA is also referred to as a within-subjects ANOVA or ANOVA for correlated samples.
hope this help
good luck
In addition, Repeated measure ANOVA in SPSS is performed from the GLM option under analyze, but ANOVA is under compare means.
I found also the following examples, which can be helpful:
Analyze data using a repeated measures ANOVA for two types of study design. (1) changes in mean scores over three or more time points, or (2) differences in mean scores under three or more different conditions. For example, for (1), you might be investigating the effect of a 6-month exercise training programme on blood pressure and want to measure blood pressure at 3 separate time points (pre-, midway and post-exercise intervention), which would allow you to develop a time-course for any exercise effect. For (2), you might get the same subjects to eat different types of cake (chocolate, caramel and lemon) and rate each one for taste, rather than having different people flavour each different cake. The important point with these two study designs is that the same people are being measured more than once on the same dependent variable (i.e., why it is called repeated measures).
I guess it helped a lot. Still, how to be done in SPSS (as I have seen there are three factor levels) and still it is confusing to fill the dialogues... My experiment is related to a set of items asked at two intervals of time... I already recorded their responses and like to see if a significant difference for time (which is awareness of a topic) would yield significant results.
i think we usually use repeat measure ANOVA when i involve measurements taken at different time points.
best regards,
I checked the Internet and found few videos, the Information Dr. Muayyad provided was helpful. I guess they look similar, but conceptually different as we are comparing each respondents data on individual level, not as a whole.
So ANOVA comparing means reflects the total means of a group, but repeated measures
are estimated at individual levels...
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Modeling
- Analyses of Variance
- ANOVA