현재 이 사이트는 활발히 개발 중입니다. 문제를 발견하시면 신고해 주세요! - 문제 신고하기

STATISTICS FOR SOCIOLOGISTS I

C&ESOC/SOC 360
과목 설명

Presentation of sociological data; descriptive statistics; probability theory and statistical inference; estimation and tests of hypotheses; regression and correlation and the analysis of contingency tables.

선수과목

Satisfied Quantitative Reasoning (QR) A requirement

충족 요건
학점

미보고

개설 시기

미보고

평점
3.27

6.09% 과거 데이터 대비

수료율
96.3%

2.7% 과거 데이터 대비

A 비율
33.33%

13.1% 과거 데이터 대비

학급 규모
81

-4.3% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

STATISTICS FOR SOCIOLOGISTS II

C&ESOC/SOC 361

Applied linear regression modeling for social scientists. Bivariate and multiple regression, dummy variables, interactions, nonlinear relationships, indirect effects and omitted variable bias, outliers, heteroskedasticity, and mulitcollinearity; associated diagnostics and corrections. Use of Stata and/or SAS for dataset creation and analysis.

DATA MANAGEMENT FOR SOCIAL SCIENCE RESEARCH

C&ESOC/SOC 365

Understanding the structure of different types of social scientific data, techniques for data evaluation, cleaning, documentation and visual display, merging data from multiple sources, restructuring data for analysis.

METHODS OF SOCIOLOGICAL INQUIRY

C&ESOC/SOC 357

Scientific methods in the study of society; procedures for testing sociological theory: problem definition, hypothesis construction, collection and evaluation of data. Practical experience conducting small research projects.

SURVEY OF SOCIOLOGY

C&ESOC/SOC 210

Introduction to the field of American sociology, its subfields and specialized areas of research, theoretical traditions and research methods.

SPECIAL TOPICS

C&ESOC/SOC 875

Advanced topics in sociology. Topics vary.