Graduate Research Courses
Research… from an educational perspective.
We invite you see see how we can help you with your research training.
Courses Offered by the College of Education
|ED_RES 562||Epistemology, Inquiry and Representation|
|ED_RES 563||Principles of Research|
|ED_RES 564||Qualitative Research|
|ED_RES 565||Quantitative Research|
|ED_PSYCH 505||Research Methods|
|ED_PSYCH 507||Introduction to Qualitative Research|
|ED_PSYCH 508||Educational Statistics|
|ED_PSYCH 568||Quasi-Experimental Design|
|ED_PSYCH 569||Seminar in Quantitative Techniques in Education|
|ED_PSYCH 572||Intro to Systematic Literature Reviews and Meta-Analysis|
|SPEC_ED 592||Single Subject Research Design and Methods|
|CSSTE 544 (was Ed_Res 567)||Discourse Analysis|
|CSSTE 545 (was Ed_Res 568)||Critical Ethnography|
|CSSTE 546 (was Ed_Res 569)||Arts-Informed Perspectives in Educational Research|
|ED_AD 591 (was Ed_Res 570)||Action Research|
|ED_RES 571||Doctoral Dissertation Preparation|
|ED_AD 536||Intro to Qualitative Research in Education|
|ED_AD 537||Advanced Qualitative Research in Education|
|ED_AD 538||Special Topics in Qualitative Research|
|ED_AD 539||Applied Research for Educational Leaders|
|TCH_LRN 560||Research in Teaching|
|TCH_LRN 588||Action Research: Teachers as Researchers|
|ED_PSYCH 575||Multilevel Modeling|
|ED_PSYCH 576||Factor Analytic Procedures|
|TCH_LRN 523||Special Topics: Mixed Methods|
Research Course Prerequisites
|Ed_Res 562||Doctoral standing in Education or Ed_Psych 505 or concurrent enrollment|
|Ed_Res 563||Ed_Res 562 or admission to the EdD program|
|Ed_Res 564||Ed_Psych 507 and Ed_Res 563|
|Ed_Res 565||Ed_Psych 508 and Ed_Res 563|
Competencies for Ed_Res 564: Prior to a student enrolling in Ed_Res 564, the student should be very familiar with the general topics listed below, these should be covered before enrollment in Ed_Res 564, like in a course such as Ed_Psych 507 or it’s equivalent.
In order to waive Ed_Psych 507 as a pre-requisite to Ed_Res 564, students need to have their IRB Approval (see last bullet point) and the following competencies need to be demonstrated through another course syllabus prior to Taking Ed_Res 564.
Knowledge basics for Ed_Res 564
- Understand theory and foundation for qualitative/ interpretive research.
- Understand range of qualitative/interpretive paradigms.
- Understand and experience with developing qualitative research questions.
- Experience with collecting qualitative data (e.g., interviews, observations).
- Experience with data transcription.
- Experience writing/adapting interview and/or observation protocols.
- Experience coding data using few forms of coding (e.g., thematic, descriptive).
- Experience writing analytic memos.
- Understand positionality and experience with developing a positionality statement.
- If an IRB is needed for the pilot study, an approved IRB at the start of 564 for a pilot study during the course, or a determination that the pilot study qualifies as “not human subjects research.” For more information about IRB applications and/or the “not human subjects research” classification, go to https://irb.wsu.edu/forms/ and select the form for “not human subjects research.”
Competencies for Ed_Res 565: Prior to a student enrolling in Ed_Res 565, the student should be very familiar with both conceptual and technical aspects of central tendency and variability measures, regression and correlation, hypothesis testing, z-tests and analysis of contingency tables. Below is a list of general topics that should be covered before enrollment in Ed_Res 565, like in a course such as Ed_Psych 508 or it’s equivalent.
Knowledge basics for Ed_Res 565
- Displaying Data, Freqency Tables, Graphs
- Percentiles and Percentile Ranks
- Measures of Central Tendency
- Measures of Variablity
- Normal Distributions and Standard Scores
- Normal Distribution
- Introduction to Correlation
- Introduction to Simple Linear Regression
- Sampling Distributions
- Introduction to Hypothesis Testing
- Testing Hypothesis about a Single Mean
- Confidence Intervals
- Hypothesis Testing for Independent Samples
- Hypothesis Testing for Dependent Samples
- Chi-square Goodness-of-Fit Test
- Chi-square Test of Independence