<# Chapter 10: Research Design Explained

- You are now at the Chapter 10 section of the book's student Web site. Here you can
- Look over the concept map of the key terms and look at a glossary of the key terms.
- Test yourself on the chapter objectives
- Test yourself on the key terms.
- Take the Practice Quiz. (a short, general quiz over the entire chapter).
- Do the interactive end-of-chapter exercises.
- Review by looking at the key issues and reading the chapter summary.
You may also look at these very short reviews the
basics of significance testing and the
basics of
the
*t*test.

- Use the authors' online t test calculator to do independent t tests and to see the effects of sample size on t values (for educational use only; for actual research data, use VassarStats)
- Use online calculators that make doing some advanced statistical analyses
simple. For example,
- if you wanted to calculate effect size from your
*t*test , you could use this effect size calculator. - if you had unequal variances and wanted to do Welch's
*t*test, you could use this online calculator

- if you wanted to calculate effect size from your
- Get a better sense of how often Type 1 errors occur, try this quick simulation.
- To learn more about Type 2 errors and how sample size affects power, try
this quick simulation.
- If you are confused about the central limit theorem (p. 408), this 10-minute video from the Khan academy may help you.
- Find out how to conduct a field experiment by reading "Web Appendix: Field experiments."
- Get a better idea of the steps involved in conducting a study by reading "Web Appendix: Conducting a Study."
- If you want to write up your method section, you may wish to consult the
tips on writing a method section in Chapter 15 as well as the Method section
part of the checklist in Appendix A.
- If you want to write up the results of a simple experiment, you may wish to download this tutorial.
- Get a better understanding of random assignment by going through this short (it shouldn't take you more than 10 minutes) but useful tutorial.
- Get some appreciation of how random error could make two groups differ--and how large sample sizes tend to reduce the degree to which random error will cause big differences between groups--by playing with this fun simulation.
- See how easy it is to create a working model of a simple experiment by
watching this short,
how-to video.
If you were really going to do an experiment using this technique, it
would be better to create separate web pages for each condition,
randomly assign participants to condition, and then e-mail participants
assigned to one group the link to one web page and the participants assigned to
the other group the link to the other web page. By giving different participants
different links, you could use Survey
Monkey to do experiments. Another way to use Survey Monkey to do
experiments is, as Blaine Peden explains
here, is to take advantage of its branching feature. Reminder:
**Please do not do an experiment--or any research--without your professor's permission.** - See how to format the results of a t test (helpful for when writing a Results section)
- Test your ability to determine whether results from a t test are statistically significant.
- Short simple test to be sure you understand p values, t values, and what "statistically significant" means.
- Do a simple, short exercise to boost your confidence about understanding the very basics of the t test.
- Helpful
hints--and some answers--to the end-of-chapter exercises.