Research design doesn't stop when you draw a conclusion. See how research paradigms are designed to be iterative and generative.
- [Instructor] There's a bit of a cyclical approach…when it comes to research and analysis.…First you choose the target population.…Then you randomly sample from that population…to get an adequate data set that you can test.…You subsequently analyze the results…and then draw conclusions about the population.…If you have the time and resources,…you should go back and do the cycle all over again…with multiple randomly chosen samples…to ascertain reliability in your initial conclusions.…Remember, you're not blindfolded…and shooting hoops in the dark.…
You want to make every shot,…not just one in every 10.…You want every experiment to be replicable…and provide the same results.…Reliability and replicability…are very important in science.…So as you go through the experiment,…make sure you can meticulously document everything,…from procedures to data to coding schemes.…That way you or others can replicate the experiment exactly.…
- 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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