USING SECONDARY DATA: APPLIED QUANTITATIVE ANALYSIS

EDPOL 603

Examines applied research and evaluation design. Explains the basic components of the research process: conceptualization and measurement, sample selection, and techniques for data generation. Explores and practices research techniques, including survey, focus groups, interviews, etc. Entails a developmental sequence of assignments culminating in a research proposal.

EDPOL 209

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.

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.

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.

EDPOL 602

An introduction to statistical analysis for research and evaluation. Draw on current events and policy debates when possible. Describe data and distributions; internal/external validity; sampling, inference, and evaluation designs (RCT, regression, DiD). Expect to use real data and computer software to complete assignments.