If you have three groups you should do an ANOVA (after checking assumptions of normality etc of course) which will test if the three groups differ overall. If that is the case you can then either do contrasts or post-hoc tests to test your hypotheses directly, e.g. does group 1 differ from group 2.
Full Answer
How do you compare two treatment groups?
The two most widely used statistical techniques for comparing two groups, where the measurements of the groups are normally distributed, are the Independent Group t-test and the Paired t-test.
How do you compare the means of multiple groups?
For a comparison of more than two group means the one-way analysis of variance (ANOVA) is the appropriate method instead of the t test. As the ANOVA is based on the same assumption with the t test, the interest of ANOVA is on the locations of the distributions represented by means too.
What statistical test should I use to compare multiple groups?
When comparing more than two sets of numerical data, a multiple group comparison test such as one-way analysis of variance (ANOVA) or Kruskal-Wallis test should be used first.
How do you compare the differences between three groups?
If you are using categorical data you can use the Kruskal-Wallis test (the non-parametric equivalent of the one-way ANOVA) to determine group differences. If the test shows there are differences between the 3 groups. You can use the Mann-Whitney test to do pairwise comparisons as a post hoc or follow up analysis.
How do you compare four groups?
0:211:579. Methods to Compare Three or More Groups - YouTubeYouTubeStart of suggested clipEnd of suggested clipOne thing to note is whereas with the t-test. It's capable of using different measures ofMoreOne thing to note is whereas with the t-test. It's capable of using different measures of variability.
What statistical test should I use to compare 4 groups?
The groups can be compared with a simple chi-squared (or Fisher's exact) test. For normally distributed data we can use ANOVA to compare the means of the groups.
Can you use ANOVA for 2 groups?
Typically, a one-way ANOVA is used when you have three or more categorical, independent groups, but it can be used for just two groups (but an independent-samples t-test is more commonly used for two groups).
How do I compare 4 groups in SPSS?
6:078:22Four Ways to Compare Groups in SPSS and Build Your Data ...YouTubeStart of suggested clipEnd of suggested clipGo to analyze compare means independent samples t-test place income in the test variables box andMoreGo to analyze compare means independent samples t-test place income in the test variables box and gender in the grouping variable define the groups as M.
What is chi square test used for?
A chi-square test is a statistical test used to compare observed results with expected results. The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.
Can you use chi square for three groups?
First, when you perform Chi-square test for the three groups together, you will get general idea about the differences between groups. Then you can perform the sub-effect test between only the group that had significantly higher prevalence with the other groups.
When comparing 3 or more groups Why can't we simply do multiple t-tests instead of using ANOVA?
Why not compare groups with multiple t-tests? Every time you conduct a t-test there is a chance that you will make a Type I error. This error is usually 5%. By running two t-tests on the same data you will have increased your chance of "making a mistake" to 10%.
Can ANOVA be used for 3 groups?
A key statistical test in research fields including biology, economics and psychology, analysis of variance (ANOVA) is very useful for analyzing datasets. It allows comparisons to be made between three or more groups of data.
Most recent answer
The GPM framework for network meta-analysis in the software MetaXL (freely available from www.epigear.com) is a framework that finally brings the analysis platform to the mainstream researcher. In addition it avoids the multitude of problems associated with Bayesian and multivariate frequentist methods.
Popular Answers (1)
This sounds like a "classic" situation for network meta-analysis. There's a pretty good primer in the BMJ: http://www.bmj.com/content/346/bmj.f2914 that you may wish to review.
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