3. RSCH Design: Quantitative (T)

Question 1

2024

Quantitative Research in Counselor Education Question. Prepared by the CAU by Dr. Dykeman.

Area 9: Quantitative Designs and Analyses

Background

In the 662-664 sequence, you receive a review of basic quantitative designs and analyses as well as are exposed to advanced ones. The purpose of this sequence is two-fold. First, this sequence is designed to give you the advanced knowledge and skills necessary to act an independent researcher in your career. Second, this sequence is designed to prepare you to teach the master’s research methods course required by CACREP (e.g., https://ecampus.oregonstate.edu/soc/ecatalog/ecoursedetail.htm?termcode=202102&coursenumber=562&subject=COUN). For written and oral exam purposes, the focus will be on the latter. Given the counselor education nature of our program, the graders’ bottom-line question when evaluating a student’s answer in a comprehensive exam (written or oral) is: “Could a master’s student reading/hearing this answer garner accurate and useful information from it?”

Possible Preparation Resources:

1. The textbook from your master’s research methods course. If you still don’t have this text this is a good alternative: https://www.guilford.com/books/Understanding-and-Interpreting-Educational-Research/Martella-Nelson-Morgan-Marchand-Martella/9781462509621/contents
2. Your textbooks and readings from the 662-664.
3. Read Campbell and Stanley’s classic text multiple times. https://www.sfu.ca/~palys/Campbell&Stanley-1959-Exptl&QuasiExptlDesignsForResearch.pdf
4. Memorize a flowchart of the interaction of research questions, level of measurement, and statistical test. There are multiple examples of these flowcharts. Here are two examples: https://statsandr.com/blog/what-statistical-test-should-i-do/ and https://www.intro2r.info/unit3/which-test.html
5. In terms of the mediator and moderator variables see Baron and Kenny’s classic paper on the topic: https://psycnet.apa.org/record/1987-13085-001
6. In terms of inter-rater agreement see Freelon’s article: https://www.ijis.net/ijis5_1/ijis5_1_freelon.pdf
7. A great open-source statistics textbook is: https://learnstatswithjasp.com/ This text uses the open-source R gui Jasp. Jasp has built in data examples available. I suggest using these to run a chi-square, Mann Whitney U, independent sample t-test, one-way ANOVA, and Kruskal-Wallis.
8. An excellent and highly readable text on program evaluation is Arlene Fink’s Evaluation Fundamentals: https://www.amazon.com/Evaluation-Fundamentals-Arlene-G-Fink/dp/1452282005
9. In terms of survey research, the gold standard is the Dillman method: https://www.amazon.com/Internet-Phone-Mail-Mixed-Mode-Surveys-dp-1118456149/dp/1118456149/ref=dp_ob_title_bk