Did you make an internet search?

There are some videos too about such analyses that show the data layout they used.

Your question should be more specific to get an answer, because it is too broad now.

Hello Muhammad,

The principal concerns would be:

1. Each row of the data sheet represents a single case.

2. Each column represents a different score or observation.

For ease of data review and editing, it generally would be advisable to have a logical ordering of variables within the data sheet. For example, if you had three observations of participant weight in a weight loss study, it would make sense to have them sequenced (observation 1 in one column, observation 2 in a following column, and observation 3 in a final column). If you had four observations of each of two dependent variables, you could order them as either

Var1/Obs1, Var1/Obs2...Var1/Obs4, Var2/Obs1, Var2/Obs2, etc.

OR

Var1/Obs1, Var2/Obs1, Var1/Obs2, Var2/Obs2...Var2/Obs4.

The SPSS General Linear Model (repeated measures) subprogram offers the opportunity to specify individual variables and repeated observations of individual variables from within the dialog boxes. Which means, all you really have to do is be sure to identify to the subprogram the correctly matched variables to the intended variables/repeated observations.

As Mehmet indicates, your question is a bit open-ended, but perhaps this will help.

Good luck with your work!

Dear David

Thanks for your prompt reply.

More specifically, I have two substrates (Maize and wheat) in which either no or single or double dose of protozoa were added. The parameter values were recorded at 8, 16 or 24 h after incubation.

I try to understand your answer and made arrangements like this

Sample caudatum Lac8 Lac16 Lac24

1 2 1.471404 1.648616 1.739775

Do you if that would be appropriate?

Could you please guide how to proceed with the SPSS program afterwards?

Muhammad,

Yes, that layout should work well.

1. In SPSS, select:

Analyze/General Linear Model/Repeated measures

2. In the first dialog box, specify Time (or something else meaningful) as your within-subjects factor, with 3 levels. Then click "Define"

3. Put the three time measures (Lac8,...) in the Within subjects box on the next dialog box, and specify your between-subjects factors just below (substrate, dose). Under "Options", you'll certainly want to see descriptive statistics, homogeneity tests, effect size, and perhaps other info.

4. Execute the analysis.

You'll see in the output multivariate tests first, followed by the univariate, repeated-measures tests (both a table for within-subjects effects and another one for between-subjects effects).

Good luck with your work!

Dear David

The information you provided was really helpful and I could make a better analyses out of that.

Many thanks for this favour

The reviewers have suggested to do the same using mixed model.

I wonder if I should follow the same procedure (similar data arrangement in excel and similar steps in SPSS)?

Kind regards and many thanks for your precious time

/Naeem

A mixed model requires data in long format. What you have done was in wide format.

You can transform wide data to long using Restructure option in SPSS. You need to identify a subject variable and one variable for your repeated measures.