PSYC 550 — Introduction to Institutional Research

Intro­duc­tion to Insti­tu­tional Research
Taught by Jacque­line Honda Ed.D.

This course will give an overview of the field of insti­tu­tional research, plan­ning and assess­ment. It will intro­duce stu­dents to the con­cepts uti­lized in insti­tu­tional research and the types of data analy­sis per­formed by this entity. It will exam­ine IR func­tions such as data analy­sis, insti­tu­tional plan­ning, insti­tu­tional effec­tive­ness, assess­ment, inter­nal and exter­nal data requests as well as effec­tive meth­ods of data presentation.

Course Units: 4
Weekly Work­load: 9–12 hours on course­work and 4 hours on the internship

Rec­om­mended Back­ground
Basic knowl­edge of quan­ti­ta­tive and qual­i­ta­tive sta­tis­tics, research design and method­ol­ogy, and pro­fi­cient sci­en­tific writ­ing skills are recommended.

Course Learn­ing Outcomes

  1. Incor­po­rate con­cepts, method­olo­gies, and research prac­tices that sup­port data dri­ven deci­sion mak­ing on a col­lege campus.
  2. Under­stand the diver­sity of the IR office, includ­ing typ­i­cal IR func­tions and con­tri­bu­tions to the col­lege cam­pus, includ­ing assess­ing Stu­dent Learn­ing Outcomes.
  3. Become famil­iar with course, stu­dent, and fac­ulty data and data analy­sis, assess­ment, and eval­u­a­tion method­ol­ogy in IR.
  4. Explore typ­i­cal IR research, includ­ing research pri­or­i­ties, the research cal­en­dar and agenda.
  5. Become famil­iar with typ­i­cal IR report­ing such as the Com­mon Data Set, IPEDS, Prince­ton Review, VSA, and more.
  6. Uti­lize soft­ware such as MS Excel Pivot Tables, IBM SPSS, SAS, R, ATLAS.ti, and Tableau to sup­port data analysis.
  7. Uti­lize soft­ware such as MS Prod­ucts (Word, Excel, and Pow­er­Point) and Google Drive (Docs, Spread­sheet, and Pre­sen­ta­tion) to write, pub­lish, and present data.

Course For­mat – Typ­i­cal Week

  1. This course con­sists of 16 weekly mod­ules. The course week typ­i­cally begins on Sun­day and ends on Sat­ur­day. Weekly mod­ules become vis­i­ble on the Fri­day before the course week.
  2. Read­ings and lec­ture videos should be com­pleted by Thurs­day morn­ing, since stu­dents’ first dis­cus­sion post is due by 11:59pm on Thurs­day night.
  3. Stu­dents will then respond to peer dis­cus­sion posts by 11:59pm on Sat­ur­day night.
  4. Stu­dents will have up to three addi­tional activ­i­ties per week: (1) Learn­ing Objec­tive Assign­ment – A project or paper to sup­port learn­ing objec­tives for the week, (2) Pithy Paper — A con­cise 1–2 page paper on a spe­cific topic with thought pro­vok­ing ques­tions to ensure con­cept mas­tery, (3) Reflec­tive Blog — A pub­lic blog for stu­dents to reflect on their expe­ri­ence in the course.
  5. The intern­ship will have ongo­ing projects that will have vary­ing deadlines.