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PSYC 3006 Research Methods and Data Analysis II
Last taught: Fall 2026 Add to Schedule
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Review Summary Updated April 05, 2026

Attendance and clicker points directly pad your final grade, and since exams pull almost exclusively from the posted slides, treating those documents as your primary study guide is non-negotiable. The quantitative workload will challenge anyone who dislikes math, but consistently completing the practice problems and using the R lab sessions for clarification will keep you on track. Expect a rigid classroom environment with strict exam-review protocols and an instructor who prioritizes order and can come across as blunt or easily frustrated by questions she deems too basic. Since the course is a non-skippable major requirement, you will fare best by strictly following every posted guideline, studying the slide deck independently when in-lectures explanations feel scattered, and reserving your questions for genuinely complex topics.

56 Reviews

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Fall 2009
2.0
Average

the lesser of two evils, i suppose.

Instructor 2.0
Enjoyability 2.0
Recommend 2.0
Difficulty 4.0
Hours/Week 0.0
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Fall 2009
2.7
Average

If you're taking this class, it's because you have to so there's really no way out of it. It wasn't as painful as I thought it would be, Prof Schmidt is weird but nice. She presents the material very clearly and her midterms are very fair. Lots and lots of work, especially for lab. Glad it's over.

Instructor 4.0
Enjoyability 1.0
Recommend 3.0
Difficulty 5.0
Hours/Week 14.0
Fall 2009
1.3
Average

Schmidt seems nice outside of class, but is not very open to questions - she seems short and rude with students. Boring and pretty useless material if you're not into research, but it's required for the major. Not particularly challenging math or concepts, but tests can be tricky.

Instructor 2.0
Enjoyability 1.0
Recommend 1.0
Difficulty 4.0
Hours/Week 0.0
Fall 2009
3.3
Average

Get a calculator that lets you backspace and see the stuff you typed in (TI-83 or whatever they're up to now). Also get ready for group work in lab. Grades will kill you, the range for a paper in my lab was 52-89. You can try the TAs, but you're not going to get very far. Suck it up and come to class, along with random tangents KS likes to throw in helpful hints that aren't in the powerpoints.

Instructor 4.0
Enjoyability 3.0
Recommend 3.0
Difficulty 3.0
Hours/Week 0.0
Fall 2009
4.0
Average

Professor Schmidt K is very fair in terms of how she writes her exams to test the understanding of her students

Instructor 4.0
Enjoyability 3.0
Recommend 5.0
Difficulty 3.0
Hours/Week 3.0
Fall 2009
4.0
Average

Incredibly easy stats class. Definitely take Schmidt. Her powerpoints are straightforward and well-done. All you need to do is study those!

Instructor 4.0
Enjoyability 3.0
Recommend 5.0
Difficulty 1.0
Hours/Week 6.0
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