We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

INTRODUCTION TO QUANTITATIVE METHODS IN EDUCATION POLICY

EDPOL 209
Course Description

Introduction to how quantitative inference is used in education policy. Focuses on the use of quantitative reasoning as a tool to analyze and interpret data. Activities support understanding the basics of generating and interpreting data in both visual and numerical form. Includes a practical component that provides opportunities to practice interpreting and writing about data.

Prerequisites

Satisfied Quantitative Reasoning (QR) A requirement

Satisfies
Credits

3

Offered

Not Applicable

Grade Point Average
3.94

1.99% from Historical

Completion Rate
100%

No change from Historical

A Rate
91.84%

12.57% from Historical

Class Size
49

7.46% from Historical

2026 Summr Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

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.

DATA MANAGEMENT FOR EDUCATION POLICY ANALYSIS

ELPA 823

Focuses on the knowledge and skills required to support rigorous quantitative inquiry. Acquire and import data; combine (merge/append) multiple data sets; organize directories and files for optimal workflow; clean data; document data manipulations for reproducibility and transparency; write code to facilitate collaboration; and summarize data in visual (graph, chart, map) and tabular forms.

INTRODUCTION TO EDUCATIONAL POLICY STUDIES

EDPOL 701

An introduction to diverse scholarly perspectives in educational policy studies.

INTRODUCTION TO QUANTITATIVE INQUIRY IN EDUCATION

EDPSYCH/ELPA 822

Utilize the concepts and methods of quantitative social science research to conduct research on education issues. Topics include hypothesis testing, statistical inference, point estimates, graphic and numerical data displays, correlation and regression.

USING SECONDARY DATA: APPLIED QUANTITATIVE ANALYSIS

EDPOL 605

Introduce methods for managing secondary data or data not collected for specific research purposes and analyzing it to address educational policies. Focus on quantitative techniques. Use secondary data and statistical software to complete assignments