Join Yash Patel for an in-depth discussion in this video Interpretation of results, part of SPSS for Academic Research.
- [Instructor] Let's take a look at the data output.…Feel free to follow along with me,…or open up the output file for yourself.…It's 07 04 output in the exercise files.…Looking at the within subjects factors table,…I can see that my sprint conditions…align accurately with my dependent variables.…So that's good.…The descriptives are there if you need to look at them.…I can quickly see that my protein group…might be significantly different than the others.…I guess we'll find out.…Let's check out our test of sphericity.…
Our significance value is .113,…which has created an alpha value of .05.…So we failed to reject the null.…As such, we can assume sphericity…and conclude that the variances are equal.…So when we look at our ANOVA,…our test of within subject effects,…we can use this sphericity assumed row.…Speaking of which, let's just jump down there.…For our sprint condition,…it looks like we have a P value of .005.…As such, we reject the null hypothesis.…
That means that at least one of the means is different.…We're just not sure which one it is yet.…
- Quantitative vs. qualitative analysis
- Sample size considerations
- Normal distribution
- Estimating the population mean
- One-sample t-test
- Paired-sample t-test
- One-way and two-way ANOVA
- Repeated measure ANOVA
Skill Level Beginner
1. General Notions about Science and Research
2. Quantitative Research Fundamentals
3. One-Sample T-Test
4. Paired-Samples T-Test
5. Balanced One-Way ANOVA
6. Two-Way ANOVA
7. Repeated Measures ANOVA
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