Spring 2027

Practical Research Design and Methods of Empirical Inquiry

A practical introduction to empirical research design, covering question formulation, methods of inquiry, internal validity, generalizability, and measurement properties.

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

Summary

Recent recorded grades — Spring 2012: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2014: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
DS/URBRPL 955

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Prerequisite text tree
  • Graduate/professional standing

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 — Spring 2012: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2014: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Research question formulation and design selection
  • Internal validity and generalizability
  • Operational definitions and measurement quality

Skills

  • Formulating research questions, selecting research designs, evaluating internal validity and generalizability, and defining operational measures with attention to validity, reliability, utility, and precision.

Grades

Latest available · Spring 2022— 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

Grades over time

Through Spring 2022

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Sources & history

UW–Madison

Catalog & offerings

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Raw records
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "595f8470554ecb665c702bc5801def62928a80a9d12d76daf36807c3bc5e83e9",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}