Join Yash Patel for an in-depth discussion in this video Data analysis in SPSS, part of SPSS for Academic Research.
- [Instructor] Go ahead and open up the 0603 exercise file…to get the data.…Let's look at the data first.…There are three columns, type, degree, and salary.…The first is type, so that's either public or private.…It's a nominal scale, and if I look at the variable view,…the label one denotes public and label two denotes private.…The second is degree, it's also a nominal scale.…And again, it's one for kinesiology, two for engineering,…and three for finance.…And the third is my dependent variable of salary,…which is a scale continuous variable.…
Let me go back to my data view now.…There is quite a procedure to check assumptions,…run the two way ANOVA,…and determine whether interaction effect exists.…For this particular test, I'm not going to worry too much…about the normality and the outliers.…It requires splitting the file by factor, and running tests…on the residuals.…That's a bit beyond the scope of this course, and you'll…notice that I've used a pretty large sample size,…so hopefully the test is robust to those violations.…
- 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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