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📚 Answering Questions with Data
Chapters ▾
0 Preface1 Why Statistics?2 Describing Data3 Correlation4 Probability, Sampling, and Estimation5 Foundations for inference6 t-tests7 ANOVA8 Repeated Measures ANOVA9 Factorial ANOVA10 More On Factorial Designs11 Simulating Data12 Thinking about answering questions with data13 GIFs14 References

11.5 Other resources

OK, It’s a tuesday, the summer is almost over. I’ve spent most of this summer (2018) writing this textbook, because we are using it this Fall 2018. Because I am running out of time, I need to finish this and make sure everything is in place for the course to work. As a result, I am not going to finish this chapter right now. The nice thing about this book, is that I (and other people) can fill things in over time. We have shown a few examples of data-simulation, so that’s at least something.

If you want to see more examples, I suggest you check out this chapter:

https://crumplab.github.io/programmingforpsych/simulating-and-analyzing-data-in-r.html#simulating-data-for-multi-factor-designs

This section will get longer as I find more resources to add, and hopefully the entire chapter will get longer as I add in more examples over time.

Adapted from Answering Questions with Data: Introductory Statistics for Psychology Students, by Matthew J. C. Crump (Brooklyn College of CUNY), crumplab.com/statistics, licensed under CC BY-SA 4.0. Portions adapt Danielle Navarro's Learning Statistics with R (CC BY-SA). Changes were made; this adaptation is distributed under the same license. License: CC-BY-SA-4.0.