REGRESSION MODELS IN EDUCATION

Name: REGRESSION MODELS IN EDUCATION
Availability: OutOfStock
Rating: 4.7 (328 reviews)

EDPSYCH 763

과목 설명

An applied introduction to regression techniques is given, covering nonparametric regression, multiple linear regression and logistic regression. All applied analyses are done in the statistical programming language R.

선수과목

EDPSYCH 761

충족 요건

EDPSYCH 963 , EDPSYCH 967 , EDPSYCH 964 , EDPSYCH 965 , and EDPSYCH 960

학점

미보고

개설 시기

미보고

평점

5.98% 과거 데이터 대비

수료율

100%

3.47% 과거 데이터 대비

A 비율

100%

14.69% 과거 데이터 대비

학급 규모

-70.73% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

APPLIED QUANTITATIVE EDUCATION RESEARCH

EDPOL 309

Introduces how quantitative research methods are applied in empirical education research. Focused on data exploration, manipulation, visualization, and simple analyses with secondary datasets and R or other programming language.

APPLIED ECONOMETRIC ANALYSIS I

AAE 636

Introduction to the standard linear regression model with an emphasis on application issues. Includes statistical foundation, hypothesis testing, functional form, model selection and procedures for handling violations of model assumption.

APPLIED REGRESSION ANALYSIS

STAT 333

An introduction to regression with emphasis on the practical aspects. Topics include: straight-line model, role of assumptions, residual analysis, transformations, multiple regression (with some use of matrix notation), multicollinearity, subset selection, and a brief introduction to mixed models.

STATISTICAL METHODS APPLIED TO EDUCATION I

EDPSYCH 760

Introductory descriptive statistics and statistical inference; measures of central tendency and variability, confidence intervals, theory of hypothesis testing, correlation techniques.

STATISTICAL METHODS APPLIED TO EDUCATION II

EDPSYCH 761

Analysis of variance and covariance, multiple linear regression; chi-square and various nonparametric techniques.