Spring 2027

Assessment of Psychopathology & Personality

Introduction to structured and semi-structured interviews for psychodiagnosis, assessment of major psychopathologies and personality, and clinical measures like PAI, MMPI, and BASC.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

Grade history

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average GPA
letter grades
A
AB
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Prerequisites

Course map

Consent of instructor

  • Consent of instructor
PSYCH 802

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Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Structured and semi-structured interviews in psychodiagnostic settings
  • Assessment of major/common psychopathologies and personality diagnosis
  • Clinical self-report and personality measures (PAI, MMPI, BASC)

Skills

  • Conducting structured and semi-structured interviews in psychodiagnostic settings
  • Assessing major and common psychopathologies and personality diagnosis
  • Using clinical self-report and personality measures such as PAI, MMPI, and BASC

Grades

Latest available · Fall 2024— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F
More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

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Student reviews

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "d1fbb9d559d0db7cf5d05b85c823a18ec9b7c2ccbea581ed877760ca495b0f6a",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}