Fall 2026

Introduction to Quantitative Inquiry in Education

Introduction to quantitative inquiry in education, teaching research methods, statistical inference, and regression analysis.

offering recorded3 credits

Recorded instructors · Fall 2026 Krystal Williams

Summary

1 / 3

Recent recorded grades — Fall 2024: 3.97 GPA, 100.0% A/AB (n=18 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=19 letter grades).

Grade history

↗

average GPA
letter grades

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

Graduate/professional standing

EDPSYCH/ELPA 822

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

Prerequisite text tree

Graduate/professional standing

Professors

Fall 2026

Krystal Williams

Recent recorded grades — Spring 2026: 4.00 GPA, 100.0% A/AB (n=19 letter grades).

Historical instructors & teaching patterns

KRYSTAL WILLIAMS is recorded teaching in Spring 2025, Spring 2026. 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

Schedule loads here as you scroll.

Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Classroom Instruction	10 / 24	0
LEC 001	Classroom Instruction	3 / 24	0

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

Meeting source records

Download part 1

Student experience

the class

Recent recorded grades — Fall 2024: 3.97 GPA, 100.0% A/AB (n=18 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=19 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

Hypothesis testing and statistical inference
Data displays
Correlation and regression

Skills

Conduct quantitative social science research
Perform statistical inference and hypothesis testing
Create graphic and numerical data displays
Analyze correlation and regression

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

Grade distribution · % of letter grades

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

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.

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Selected offering source records

EDPSYCH/ELPA 822 · Fall 2026

Introduction to Quantitative Inquiry in Education

Recorded 2026-09-07

EDPSYCH/ELPA 822 · Fall 2026

Introduction to Quantitative Inquiry in Education

Recorded 2026-09-07

Raw records

[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:305:023771",
    "course_id": "EDPSYCH/ELPA 822",
    "course_uid": "course_ae0b048c599d1b08b9346e20",
    "term_id": "1272",
    "source_course_id": "023771",
    "source_subject_id": "305",
    "title": "Introduction to Quantitative Inquiry in Education",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:315:023771",
    "course_id": "EDPSYCH/ELPA 822",
    "course_uid": "course_ae0b048c599d1b08b9346e20",
    "term_id": "1272",
    "source_course_id": "023771",
    "source_subject_id": "315",
    "title": "Introduction to Quantitative Inquiry in Education",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]

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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

Download part 1

Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1

Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "2ddfa8012bdcb7c2d2fbcc7249faf9a428683ab20c9788ccca7459fd2e273759",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}