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**Modular Course Materials Research Methods Courses: A SIPS Hackathon Product** ***Hackathon Organizers:*** *Michèle Nuijten, John Sakaluk, Dan Simons* ***Hackathon Contributors:*** *ALL THE HACK PEOPLE GO HERE* **How To Use This Resource** Members of the 2017 SIPS Research Methods Hackathon have collaborated to create modular content for research methods training in psychology. Our intent is for instructors to use these materials in whatever way helps their course prepartion, whether that is building a course entirely from these modules, or selectively adding modules to their already-developed curriculum. Each module contains (or will eventually contain): - A short **summary** of the module's content and module **learning goals** - References and links to **readings** that we selected to be accessible, comprehensive, and/or provocative - Links and/or downloaded for **demonstrations** of key principles - **Assignments** that vary in their depth and complexity Our list of modules follows. If you would like to contribute a module, or add to an existing one, please leave a comment or contact Michèle, John, or Dan. The [Diversifying Research Methods Syllabi OSF][1] is another a great resource to consult if you do not find content you are looking for. **Module Table of Contents** ***The Replication Crisis*** 1. [Overview of the Replication Crisis][2] 2. [The Reproducibility Project][3] 3. [The Meaning of Replications: Conflicting Views][4] 4. [Replication Studies: What to Expect][5] 5. [The Problems of Publication Bias][6] 6. [Perverse incentives][7] 7. [Discussing Failures to Replicate][8] 8. [Tone and Science Criticism][9] ***Empirical Evidence*** 9. [Evaluating Evidence][10] 10. [What Are p-values?][11] 11. [What is Bayesian Inference?][12] 12. [What are Confidence Intervals?][13] 13. [The New Statistics][14] 14. [Causal Inference][15] ***Replicable Science Methods*** 15. [Building a Lab][16] 16. [Sharing Data and Materials][17] 17. [Preregistration][18] 18. [Reporting Practices][19] 19. [Questionnable Research Practices][20] 20. [QRPs: Optional Stopping][21] 21. [p-curve][22] 22. [Incredibility][23] 23. [Statistical Forensics: Spotting Misconduct][24] ***Design and Data*** 24. [Sampling Concerns][25] 15. [Sample Size Planning][26] 16. [Types of Data][27] 17. [Cleaning and Organizing Data Files][28] 17. [Psychometrics][29] ***Statistics Best Practices*** 22. [R Basics][30] 23. [Missing data][31] 24. [Calculating and Interpreting Effect Sizes][32] 24. Correcting for Multiple Tests 25. Equivalence Testing 26. [Interaction Effects][33] 27. [Mediation/Indirect Effects][34] 28. [Estimating and Correcting Publication Bias][35] 28. Exploratory Factor Analysis 29. Confirmatory Factor Analysis and Structural Equation Modeling [Description and Agenda for this Hackathon.][36] Use this wiki to link to your module in the table of contents. [1]: [2]: [3]: [4]: [5]: [6]: [7]: [8]: [9]: [10]: [11]: [12]: [13]: [14]: [15]: [16]: [17]: [18]: [19]: [20]: [21]: [22]: [23]: [24]: [25]: [26]: [27]: [28]: [29]: [30]: [31]: [32]: [33]: [34]: [35]: [36]:
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