Doctoral Research Seminar in Management

Doctoral Research Seminar in Management supports Ph.D. candidates at or near thesis stage with conceptualization and design of their thesis topics.

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

Summary

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Recent recorded grades — Spring 2011: 3.83 GPA, 83.3% A/AB (n=6 letter grades); Fall 2015: 3.93 GPA, 100.0% A/AB (n=7 letter grades); Fall 2021: 3.64 GPA, 71.4% A/AB (n=7 letter grades).

What you’ll be able to do

  • Design and evaluate empirical research in management, applying principles of research design, measurement, and statistical analysis.

  • Assess causal inference in management research, identifying potential threats such as endogeneity, measurement error, and bias.

  • Apply quantitative research methods, including experimental, quasi-experimental, and observational approaches, to investigate management-related phenomena.

  • Interpret and communicate empirical findings effectively, demonstrating an understanding of methodological trade-offs and implications for theory and practice.

Source: UW Guide

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing or declared in graduate Business Exchange program

    • Graduate/professional standing
    • declared in graduate Business Exchange program
    take one
MHR 975

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • declared in graduate Business Exchange program

Professors

Spring 2027

No instructors recorded for this selection.

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2011: 3.83 GPA, 83.3% A/AB (n=6 letter grades); Fall 2015: 3.93 GPA, 100.0% A/AB (n=7 letter grades); Fall 2021: 3.64 GPA, 71.4% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Thesis topic conceptualization and design
  • Research design, measurement, and statistical analysis
  • Causal inference threats including endogeneity, measurement error, and bias
  • Experimental, quasi-experimental, and observational quantitative approaches

Skills

  • Designing and evaluating empirical management research using research design, measurement, and statistical analysis.
  • Assessing causal inference by identifying threats like endogeneity, measurement error, and bias.
  • Applying experimental, quasi-experimental, and observational quantitative methods to management phenomena.
  • Interpreting and communicating empirical findings while explaining methodological trade-offs and implications.

Grades

Latest available · Fall 2021— 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 Fall 2021

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

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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
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  "output_id": "8ffbb0d14c8e31f0333fb4f1d554f5c2e2f29253deb2c0cabbbc2256bfbce055",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}