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Causal Analysis Techniques (424024-B-6)- SPSS Summary and test exam answers $7.29
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Causal Analysis Techniques (424024-B-6)- SPSS Summary and test exam answers

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Hi, this summary consists of all the information about the SPSS part of the course 'Causal Analysis Techniques'. There are three parts in this summary: part 1 contains the most important information: the solutions of the mock exam that is online on Canvas, including explanation of what to do and p...

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  • January 11, 2025
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TEST 2022-2023 SOLUTION VIDEO
Question 1: One-Way Between-Subjects ANOVA
Run a One-Way Between-Subjects ANOVA to investigate whether countries di>er with
respect to the average score on health. In your analysis, also request the following
statistics: descriptive statistics, test for homogeneity of variance, and the Brown-
Forsythe, and Welch test.
Which country has the highest average score on health?
A Finland, B France, C Germany, D Greece

Analyze -> compare means -> one-way ANOVA -> health as dependent -> country as
independent -> options: check the boxes of descriptives, homogeneity of variance,
Brown-Forsythe, and Welch test -> continue -> paste and run syntax




Looking at the mean, we can conclude that Germany has the highest average score on
health.

Question 2: One-Way Between-Subjects ANOVA – Levene and Welch test statistic
From the ANOVA output, fill-in the following test statistics:
- The test statistic for the Levene’s test (based on the mean): 21,793 (Test of
homogeneity of variances -> based on mean -> Levene Statistic)
- The test statistic for the Welch test: 94,700 (Robust Test of Equality of Means ->
Welch -> Statistic)

Question 3: Pearson’s r
Estimate Pearson’s r between Health and FeelingEnergetic. Fill in the value of Pearson’s r
as reported by SPSS.

Analyze -> correlate -> bivariate -> insert Health and FeelingEnergetic -> paste and run
syntax




Correlation = .416




1

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