Majors Only. Introduction to the certificate program topics including the meaning of causal evaluation, how it can inform decision-making and continuous improvement processes, and a review of relevant math and statistical tools. S/U Graded.
Prerequisite: EII 604. Majors Only or permission of EII Executive Director. Survey of research methods facilitating causal inference. Includes basic introduction to randomized control trials and quasi-experimental methods that can be used when a randomized control trial is not feasible. S/U Graded.
Prerequisite: EII 606. Majors Only or permission of EII Executive Director. Use theory to drive analytic decisions and demonstrate how to estimate, interpret, and communicate impact of Randomized Control Trial. Emphasis is on using Ordinary Least Squares regression. S/U Graded.
Prerequisite: EII 607. Learn to program and interpret results of applied problems using the quasi-experimental techniques learned in EII 606, including propensity score matching, difference-in-differences, and regression discontinuity S/U Graded.
Prerequisite: EII 604. Students will develop a logic model —a graphical representation that illustrates how the resources and strategies of an intervention are expected to translate into the desired outcomes. S/U Graded.
Prerequisite: EII 607, EII 609. Majors Only. Determine strategies for conducting Randomized Control Trials within schools considering timing, context, generalizability, strengths, and barriers. If a local RTC is not plausible, make use of existing research and evaluations to inform decision-making. S/U Graded.
Prerequisite: EII 606 and EII 609. Majors Only. Students will apply a practical process to a theory-based framework to plan, implement, and use evaluation to critically examine the implementation of local educational initiatives. S/U Graded.
Prerequisite: EII 604. Majors Only. Introduction to design principles and software for developing static and interactive data visualizations. Emphasis is on matching communication and data visualization strategies to target audiences. S/U Graded.
Prerequisite: EII 604. Majors Only. Framework for developing partnerships among education agencies and research institutions to inform and evaluate policy and innovative practices. Emphasis is on building long-term, sustainable partnerships. S/U Graded.
Prerequisite: EII 604. Majors Only. Introduction to identifying and understanding the costs of educational interventions. Overview of how to select the appropriate type of cost study: cost-analysis, cost-effectiveness, or cost-benefit. S/U Graded.
Prerequisite: EII 614. Majors Only. A case study approach to identifying costs, calculating cost ratios, and translating the findings into recommendations for decision-making. S/U graded.
Doctoral students only. Survey of research methods facilitating causal inference when a randomized control trial is not feasible. Includes regression discontinuity, difference-in-differences, instrumental variables, and propensity score matching. Familiarity with OLS regression required.
Prerequisite: EII 705. Doctoral students only. Instructor consent required. Student will obtain placement on an applied quantitative education research project that builds on themes from EII 705 such as working with longitudinal data, statistical programming, or policy analysis. S/U graded. Repeatable, no limitations.
Prerequisite: EII 705. Doctoral students only. Instructor consent required. An in-depth application to an education policy area of one of four quasi-experimental methods (regression discontinuity, difference-in-differences, instrumental variables, or propensity score matching) or a comparison of multiple methods. S/U graded. Repeatable, no limitations.