Join Yash Patel for an in-depth discussion in this video What you should know, part of SPSS for Academic Research.
- [Instructor] This course is not intended as a comprehensive tutorial on SPSS procedures nor is it a loaded stats course. Regardless, if you're new to statistics, the first two chapters in this course will provide a great start. You don't necessarily need to have a lot of stats knowledge though basic understanding of vocabulary and simple concepts will help. For example, an understanding of normal distribution will help you catch onto concepts pretty quickly. You should also know descriptive vocabulary such as standard deviation, skewness, and kurtosis.
If at any point in this course you find that you need a refresher on any statistical concepts, I recommend watching Statistics Fundamentals courses in the library. They'll get you up to speed. If you're not a fully fledged stats geek, no worries. I'll walk you through each step of my analysis and provide a rationale for my choices while we're in SPSS. Speaking of SPSS, you should also have familiarity with the interface and how to load data files. If you're completely new to the program, I recommend watching the beginning few chapters of an SPS training course in the library.
- 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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