- 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
- [Yash] Imagine this, you're getting an influx of data, from every which way, getting thrown at you. Now, it's your job to make heads or tails of it and it's just not that easy. You've asked the right questions, designed an experiment, collected data, but now you're a bit flustered. Where do you go next? Well, fortunately, you only have a couple of things left to do. You got to crunch the numbers and then you have to make sense of the analysis. That's where I can help. Hi, my name is Yash Patel. Welcome to this course on using SPSS for academic research.
My primary goal is to provide you with actionable information that can help you sort through and analyze your data. To start off, I'll give you a brief overview of science and science knowledge. Then, you'll see some basic tenets of quantitative tests including the central limit theorem, p-values, and confidence intervals. Next, I'll show you use cases for certain types of tests that can be performed in SPSS. For each type of statistical test, I'll provide a general situation for which that test would be useful.
I'll also cover some assumptions that are made when using that test. Using SPSS, I'll show you how to run the analysis and interpret the results. Finally, I'll provide you with a challenge and solution for each type of test so that you can practice what you've learned. Now that you have a general idea of what this course is about, I hope you're excited to get going. So, what are you waiting for? Let's get started.
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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