How to calculate one way repetitive measure ANOVA by excel sheet? To calculate repetitive measure ANOVA by MS excel sheet or some online link that work in my case? It works on windows. I am showing a significant between group difference via ANOVA and a significant difference between 2 of my 3 groups on post hoc Tukey HSD. However, I do not see a p-value in the generated output chart.
In this tutorial you will learn how to calculate range in Excel. Don't forget to check out our site for more free how-to videos! - our feed - join us on facebook - our group in Google+ In this tutorial you will learn how to calculate range in Excel. The range is the difference between the highest and the lowest of differences in a series of numbers. We will therefore need the series that we want to perform range function upon.
Let's create it: Prerequisites: Microsoft Excel. Launch Excel and start a new file from File- New. Fill several rows with the values you want to calculate the range for. At the bottom of the column, type the following formula =MAX (Axx:Ayy), where Axx and Ayy are the starting, and the ending cells of your data, respectively. Near the previous cell, type the following formula =MIN(Axx:Ayy), where Axx and Ayy are the starting, and the ending cells of your data, respectively. Now go to the place where you want to have your range displayed.
Enter the formula =X-Y, where X and Y are the first and the second cells calculated. Excel will update your cell with the result. Result: Congratulations, you have learnt how to calculate the range in Excel.
I have a dataset that includes one independent variable with 3 levels (group 1, group 2, and group 3) and a repeated dependant variable (pre test score, post test score). I am using the statistics package SPSS and when I took the method I thought I would use 'repeated measures anova' there didn't seem to be a way of splitting the independent variable into the 3 groups. In the data view of the spreadsheet each row represents a participant and so they are grouped by including a numerical value to each group 1 = group 1, 2 = group 2, and 3 = group 3. I need to compare the mean changes/improvements over the 2 time points (pre, and post) across the groups to assess if there is a significant improvement in any of the groups. Do you know the most appropriate approach to do this?
The only option I am considering is creating a new spreadsheet where each row represents a participant and each column represents the difference between pre and post trials, and then entering this into a one way independent anova. $ begingroup$ More details on the design would be helpful. 1) What is the nature of the pre & post test, in particular what is there distribution (normal, ordinal, low mean count etc.). 2) Is there an experimental intervention, or are you just interested in the growth for all groups from pre-test to post test? If there is an experimental intervention, what is it's nature (is it dichotomous, you either have the treatment or don't, or is it a continuous treatment)?
3) How many participants (observations) do you have? $ endgroup$ – Apr 16 '12 at 11:38. $ begingroup$ Groups are treatment groups for a training supplement. Group 1 whey protein, group 2 casein protein, and group 3 placebo (control). The pre and post testing are either side of a 6 week training period. I think the ANOVA style that marius has answered might be right, iv just not leaned how to report the observations of the spas output. If you know of any example reportings of this style that would be amazing.
On the output, the 'test of within subjects effects' box has an additional line to what i have seen before, and I'm not entirely sure of how i would interpret the results. $ endgroup$ – Apr 16 '12 at 15:56.
$ begingroup$ is that a feature on the program? Im just having trouble getting my head around it. There is a box you can get up that is labeled 'repeated measures' after you click analyse and compare linear models. In this there is an option to add a between subjects factor. But i entered the grouping variable (the column in the data view that groups 1, 2 and 3 for the levels of the independent variable) but I'm not sure this was the correct way to run the statistical test that I'm looking for. $ endgroup$ – Apr 15 '12 at 19:50.
To include both repeated and between-subjects factors in your analysis, you have to run what SPSS calls a repeated measures GLM (don't worry, it's still an ANOVA). Under Analyze, go to General Linear Model - Repeated Measures. Then you have to define your within-subjects factor (in this case 'time', with two levels), and you should be able to enter your between subjects factor in the appropriate box in the next menu.
Your data should be laid out so that each participant corresponds to one row, and you have three columns- Group, identifying which group the participant is in, PreScore and PostScore.