Other Readings

• HIED Orientation

• Lesson 1 Discussion: Introduction

eReserves

• Chapter 2: Volkwein, F, Liu, Y., & Woodell, J. The structure and functions of institutional research offices. 
• Chapter 3: Eimers, Ko, J. W., Gardner, D. Practicing institutional research. 

Optional

• Chapter 5: Ferren, A. & Merrill, M. The role of institutional research in international universities 
•  Voorhees, R. & Hinds, T. Out of the box and out of the office. 
• Terenzini, P. (1993) On the nature of institutional research and the knowledge and skills it requires. Research in Higher Education, 34(1), 1–10. 
• Terenzini, P. (2013). On the nature of institutional research revisited: Plus ca change…? Research in Higher Education, 54(2), 137–148. 
• Volkwein, F. (2008). The foundations and evolution of institutional research. New Directions for Higher Education, 141, 5–20. 

• Lesson 2 Written Assignment: Current Skills and Plan for Professional Development
• Lesson 2 Discussion: Contemplation of Expert Videos Discussion

None

• Lesson 3 Discussion: Locating Existing Data
• Lesson 3 Discussion 2: Location Existing Data, Part 2

E-Reserves

• Krathwohl, D. (2009).  Methods of educational and social science research. Long Grove, IL: Waveland.
  • Qualitative research methods (pp. 236-240).
  • Interviewing (pp. 295-302)
  • Survey research and questionnaires (pp. 567-593)

Optional:

• Chapter 29
• Chapter 30
• Trosset, C. (2007). Qualitative research methods for institutional researchers. In R. Howard (Ed.) Using mixed methods in institutional research. (pp. 9-21). Tallahassee, FL: AIR.

1. Lesson 3-4 Written Assignment: Data Research Report

eReserves

• Chapter 36: James, G. Developing institutional comparisons 

Other

• Terkla, D. (Winter 2012). Institutional dashboards: Navigational tool for colleges and universities. AIR Professional File, number 123. 

• Lesson 5 Discussion: Dashboard Examples

• None

• Lesson 5-6 Written Assignment: Benchmarking Report

E-Reserves

• Kahneman, D. (2011). Thinking, fast & slow. Farrar, Strauss, & Giroux: New York. [Chapter 10 (pp. 109-118): The law of small numbers.]

• None

• none

• Lesson 7-8 Written Assignment:

E-Reserves

• Kahneman, D. (2011). Thinking, fast & slow. Farrar, Strauss, & Giroux: New York. [Chapter 21 (pp. 222-233): Intuitions vs. formulas.]
• Silver, N. (2012). The signal and the noise: Why so many predictions fail - but some don’t. Penguin: New York. [Chapter 2 (pp. 47-73): Are you smarter than a television pundit?]

• Lesson 9 Discussion: A Bit of Fun, Continued

• None

• Lesson 9-10 Written Assignment: Prediction Report

• None

• None

• None

• Lesson 12 Discussion: Correlation Examples
• Lesson 11-12 Written Assignment: 

eReserves

• Chapter 33: Sanders, L. & Filkins, J. Effective reporting
• Tufte, E. (1997). Visual explanations: Images and quantities, evidence and narrative. [Chapter 2: Visual and statistical thinking: Displays of evidence for making decisions. Section: The decision to launch the space shuttle challenger (pp. 38-53).]

Other Readings

• Wainer, H. (1984). How to display data badly. The American Statistician, 38(2), 137-147.

• Lesson 13 Written Assignment: Presentation Analysis

eReserves

• Chapter 5 - Voorhees, L. & Filkens, J. Out of the box and out of the office: Institutional Research for changing times.

Other Readings

• Swing, R. & Ewing Ross, L. (2016). A new vision for institional research.  Change Magazine

• Lesson 14 Discussion: Contemplation of Course