### Upcoming Workshops:

Thank you for visiting my course notes. Here are some upcoming opportunities to learn from me and my colleagues in person:

Workshop | Dates | Location | Instructor |
---|---|---|---|

Currently no workshops are planned |

#### Spring 2014 Psychology and Research in Education 905

#### Course Information

Course Information | Instructor | Teaching Assistant |

Name: | Jonathan Templin | Susan Connolly Gillmor |

email: | jtemplin@ku.edu | scgillmor@ku.edu |

Phone/Text: | 402-417-4332 | |

Office: | 614 JRP | 644 JRP |

Office Hours: | Thursdays 2pm-5pm (unless otherwise noted in schedule) or by appointment | Wednesdays 2pm-4pm or by appointment |

#### Course Materials

Syllabus: | Syllabus (Updated 1/20/2014) |

Project Description: | Project Description (Updated 1/20/2014) |

#### Helpful R Links and Resources

Books: | R for Data Science (Grolemund and Wickham, 2015) |

R for SAS and SPSS Users by Muenchen (2007) | |

An introduction to R by Venables et al. (2013) | |

Websites: | Quick-R |

aRrgh: a newcomer's (angry) guide to R | |

DataCamp Introduction to R | |

Cookbook for R | |

Quick References: | Reference Card #1 (various authors, noted on card) |

Reference Card #2 (various authors, noted on card) |

#### Tentative Schedule of Course Topics

Week | Date | Topic Post (Includes Videos, Slides, Syntax, and Data Files) | Homework Assignment | Readings |
---|---|---|---|---|

1 | 1/21/2014 | Introduction and Overview; Review of the General Linear Model; Descriptions of Variability | Homework #1: Due Friday 1/31 at 11:59pm | Maxwell & Delaney (2004) Appendix B |

2 | 1/28/2014 | Introduction to R and R Studio | Homework #2 Due Friday, 2/14 at 11:59pm | Venables et al. (2013) |

3 | 2/4/2014 | KU Snow Day | Stay home and avoid the weather! | |

4 | 2/11/2014 | Simple, Marginal, and Interaction Effects in General Linear Models | PROJECT PART 1 DUE: Friday, 2/14 at 11:59pm Homework #3 : Due Friday 2/21 at 11:59pm | Hoffman (in preparation) ch. 2 |

5 | 2/18/2014 | Distributions and Estimation, Part 1 | Homework #4 : Due Friday 2/28 at 11:59pm | Kutner et al. (2005), ch. 1, Appendix A; |

6 | 2/25/2014 | Maximum Likelihood Estimation | Homework #5: Due Friday 3/7 at 11:59pm | Enders (2010) ch. 3 |

Note: Jonathan's Office Hours are By Appointment Only This Week | ||||

7 | 3/4/2014 | Introduction to Generalized Univariate Models: Models for Binary Outcomes | No Homework Assigned -- Catch-up Time | Azen & Walker (2011) chs. 2 & 6 |

8 | 3/11/2014 | Matrix Algebra and the Multivariate Normal Distribution | No Homework Assigned -- More Catch-up Time | Johnson & Wichern (2002), chs. 2, 3, & 4 |

9 | 3/18/2014 | No Class: Spring Break | ||

10 | 3/25/2014 | Maximum Likelihood for Multivariate Outcomes; Empty Multivariate Models | Homework #6 : Due Friday 4/11 at 11:59pm | |

Note: Jonathan's Office Hours are By Appointment Only This Week | ||||

11 | 4/1/2014 | No Class or Jonathan's Office Hours: AERA/NCME Conferences | PROJECT PART 2 DUE: Friday, 4/3 at 11:59pm | |

12 | 4/8/2014 | Multivariate Models with Predictors | None | Kline (2005), chs. 5 & 6 |

13 | 4/15/2014 | Introduction to Path Analysis (PRE 905, Spring 2014) | None | MacKinnon (2008), ch. 6 |

14 | 4/22/2014 | Missing Data | None | Enders (2010), chs. 4, 6, 7, 8, 9 |

15 | 4/29/2014 | NO CLASS | PROJECT PART 3 (Optional Draft) DUE: Thursday, 5/1 at 11:59pm | |

16 | 5/6/2014 | Principal Components Analysis and Exploratory Factor Analysis | None | Johnson & Wichern (2002), chs. 8, 9 |

17 | 5/13/2014 | No Class: Finals Week | PROJECT PART 3 DUE: Tuesday, 5/13 at 11:59pm |

#### References

**Books**

Enders, C. K. (2010). *Applied missing data analysis. * New York, NY: Guilford.

Hoffman, L. (in preparation). *Longitudinal analysis: Modeling within-person fluctuation and change*. New York, NY: Routledge Academic.

Johnson, R. A. & Wichern, D. W. (2002). *Applied multivariate statistical analysis (5 ^{th} Ed.). *Upper Saddle River, N.J.: Prentice-Hall.

Kline, R. B. (2002). *Principles and practice of structural equation modeling (2 ^{nd} Ed.)*. New York, NY: Guilford.

Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). *Applied linear statistical models (5 ^{th} Ed.)*. New York, NY: McGraw-Hill.

MacKinnon, D. P. (2008). *Introduction to statistical mediation analysis*. New York, NY: Routledge Academic.

Maxwell, S. E., & Delaney, H. D. (2004). *Designing experiments and analyzing data*. Mahwah, NJ: Erlbaum.

Venables, W. N., Smith, D. M., & the R Core Team (2013). An introduction to R – Notes on R: A programming environment for data analysis and graphics (3.0.2 ed.). R Core Development team. Retrieved from http://cran.r-project.org/doc/manuals/R-intro.pdf.