Contents
- 1 What statistical test do you use for repeated measures?
- 2 How do you compare the means of two groups with different sample sizes?
- 3 How do you find the significant difference between two groups?
- 4 How are multiple comparisons with repeated measures different?
- 5 Which is statistical method for comparing frequency counts?
- 6 Which is the equivalent of the repeated measures ANOVA?
What statistical test do you use for repeated measures?
ANOVA
The repeated measures ANOVA is similar to the dependent sample T-Test, because it also compares the mean scores of one group to another group on different observations. It is necessary for the repeated measures ANOVA for the cases in one observation to be directly linked with the cases in all other observations.
How do you compare the means of two groups with different sample sizes?
One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.
How do you find the significant difference between two groups?
To calculate t,
- subtract the mean of the second group from the mean of the first group.
- calculate, for each group, the variance divided by the number of observations minus 1.
- add the results obtained for each group in step two together.
- take the square root of the results of step three.
What is a repeated measures design example?
In a repeated measures design, each group member in an experiment is tested for multiple conditions over time or under different conditions. For example, a group of people with Type II diabetes might be given medications to see if it helps control their disease, and then they might be given nutritional counseling.
What is the sum of the frequency?
The sum of the absolute frequencies is equal to the total number of data, which is denoted by N. This sum is commonly denoted by the Greek letter Σ (capital sigma) which represents ‘sum’.
How are multiple comparisons with repeated measures different?
However, the arithmetic is no different is we compare (Mean1 + Mean2 + Mean3)/3 with (Mean4 + Mean5)/2. In other words, we can compare means of means. If you had two control groups and three treatment groups, that particular contrast might make a lot of sense.
Which is statistical method for comparing frequency counts?
For this you have the counts of each incident for (First/Early/Lifetime), and the null proportions for each category. That is, you use (0.3333, 0.3333, 0.3333) for the “expected” proportions. So a significant test suggests the counts do not follow these “expected” proportions.
Which is the equivalent of the repeated measures ANOVA?
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.
How is sampling error used to compare frequencies?
This module will similarly provide concepts and tools for comparing groups with respect to dichotomous, categorical, and ordinal outcomes for which we are comparing frequencies rather than mean values of a measurement, and we will focus on evaluating sampling error when making these types of comparisons.