Stanford Root

Schedule

Stanford Root

Schedule

SOC 382

Statistics for an Open Science: Explanation

UNITS:4-5
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

Enrollment limited to first-year Sociology doctoral students. Other students by instructor permission only. Required for Ph.D. in Sociology. Rigorous treatment of linear regression models, model assumptions, and various remedies for when these assumptions are violated. Introduction to panel data analysis. Enrollment limited to SOC 15. Prerequisites: SOC 381.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 8022
0 / 16 enrolled
DAYS:Monday
TIME:9:30 AM – 12:20 PM
LOCATION:TBD
INSTRUCTOR:
Rehkopf, David
units
Discussion 1Open
ID: 8021
0 / 12 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
units

SOC 382: Statistics for an Open Science: Explanation

4-5 units · Letter (ABCD/NP)

Enrollment limited to first-year Sociology doctoral students. Other students by instructor permission only. Required for Ph.D. in Sociology. Rigorous treatment of linear regression models, model assumptions, and various remedies for when these assumptions are violated. Introduction to panel data analysis. Enrollment limited to 15. Prerequisites: 381.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Monday 9:30 AM – 12:20 PM — Rehkopf, David (Graduate)
  • Discussion — TBA TBA (Graduate)

More SOC courses

  • SOC 373: The Quantitative Study of Educational and Social Inequality (EDUC 483)
  • SOC 375W: Workshop: Politics, Morality, and Hierarchy
  • SOC 378: Seminar on Institutional Theory and World Society
  • SOC 380: Qualitative Methods
  • SOC 380W: Workshop: Qualitative and Fieldwork Methods
  • SOC 381: Statistics for an open science: Foundation
  • SOC 383: Statistics for an Open Science: Modeling
  • SOC 384: Advanced Regression Analysis (EDUC 326)
  • SOC 385A: Research Practicum I
  • SOC 385B: Research Practicum II
  • SOC 386: Meso-Organizational Theory (MS&E 382)
  • SOC 386E: Research Practicum V

All SOC courses · All departments