Fall 2026

Social Psychology

Introduces classic and contemporary social psychology theories and research with an emphasis on experimental methodology.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Emily Dix, Judith Harackiewicz, Tina Winston: Workload often involves extensive textbook reading and detailed, difficult exams that require memorization. Some instructors make attendance mandatory or grade heavily on confusing, wordy tests, while others offer spaced assignments and clear grading criteria.

Grade history

average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

PSYCH 202

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Historical reviews of Emily Dix: Emily Dix is described as nice and knowledgeable but criticized for dry, rambling lectures and extremely detailed exams that require exhaustive textbook reading. Reviewers found the grading harsh and the course experience less engaging than other options.

ABIGAIL LETAK is recorded teaching in Fall 2018, Spring 2019, Fall 2019. Recorded history may be incomplete and does not establish a future schedule.

EMILY DIX is recorded teaching in Fall 2017, Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

JUDITH HARACKIEWICZ is recorded teaching in Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.

MEGAN BRUUN is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule.

TINA WINSTON is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Historical reviews of Abigail Letak, Megan Bruun: Students highly recommend the course when taught by engaging instructors like Abigail Letak and Megan Bruun, praising their clear lectures and caring nature. Conversely, reviews for Emily Dix, Judith Harackiewicz, and Tina Winston highlight significant frustrations with dry teaching, confusing exams, and passive-aggressive attitudes, though one review for Harackiewicz was positive.

Recent recorded grades — Fall 2024: 3.19 GPA, 43.8% A/AB (n=267 letter grades); Fall 2025: 3.32 GPA, 58.7% A/AB (n=184 letter grades); Spring 2026: 3.50 GPA, 71.0% A/AB (n=193 letter grades).

difficulty & workload

Historical reviews of Emily Dix, Judith Harackiewicz, Tina Winston: Workload often involves extensive textbook reading and detailed, difficult exams that require memorization. Some instructors make attendance mandatory or grade heavily on confusing, wordy tests, while others offer spaced assignments and clear grading criteria.

Historical reviews of Abigail Letak, Megan Bruun: With supportive professors, students find the material interesting and lectures engaging, with accessible instructors who explain topics clearly and answer questions.

Topics

  • Social interaction, motivation, attitudes, conformity, communication, leadership, personal relationships, and small group behavior

Skills

  • Experimental methodology
  • Psychological study of social behavior

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

7 earlier forecasts · 0.11 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records

No offering records for the selected term.

Raw records
[]
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Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "9bbf13364195d6df7200a4cd931a4af8e35798ca3d9c5f5865fe458bedb1ff50",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}