Exam (elaborations)
Step by step Manual for Repeated Measures Analysis in SPSS
- Course
- Institution
This document can help you with conducting the Repeated Measures Analysis and contains detailed steps of the analysis in SPSS.
[Show more]
Seller
Followmarleenvelthuis
Content preview
Step by step ManualRepeated Measures Analysis
Independent variables are not yet nicely presented (iv and dv are not apart yet, you see all
conditions in a different variable);
you have to define your independent variables yourself.
1. Check the normality between conditions (= normality of the difference)
1. Transform > Compute variable
1. Create a variable (d1) for a difference between var1 and var 2 (var1 - var2)
2. Do this per combination
2. Check skewness of kurtosis OR use Kolmogorov-Smirnov;
1. Analyze > Descriptive Statistics > Explore
2. Drag all difference variables in ‘dependent list’
3. Plots > check Normality plots with tests & Histogram
4. Output: check KS-test values.
2. Analyze > General Linear Model > Repeated Measures
1. Define your IVs yourself
1. Define name of var
2. Define number of levels
3. Add & repeat for other variable
2. Enter conditions into Within-Subjects Variables (name&label moeten overeenkomen)
3. Options > select:
1. Descriptive statistics
2. Estimates of effect size
4. Planned contrast is for specific predictions already;
Post hoc compares everything to everything
1. Planned contrast
1. Contrasts > select Simple for both contrasts
2. Post Hoc
1. EM Means
2. drag your IVs to Display Mean for
3. Select compare main effects
4. Select Bonferroni
3. Output
1. Check normality with Kolmogorov-Smirnov test
1. If the test is significant (< .05), the assumption is not met.
2. What to do if assumption is not met?
1. Look at the normal Q-Q plot > if it doesn’t look very bad, it is still ok
2. Look at the histogram > if it looks ok, it’s still ok
3. Chapter 6 of book for other things to do if you have serious problems with
normality of your data (e.g. trimming data, transforming data)
2. Repeated measures test
1. Within-Subject Factors > an overview of your variables. Check if you did this
correctly.
2. Descriptive Statistics > for reporting per condition
3. Multivariate tests > you can ignore this
4. Mauchly’s test of Sphericity
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller marleenvelthuis. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $3.32. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
82215 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now