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September 2017

Regression discontinuity designs for evaluating programs and policies

September 28 @ 12:00 pm - 4:00 pm

A 4-hour workshop taught by Brad Curs, Ph.D. You may also be interested in our propensity score analysis workshop. Register Overview This workshop provides an introduction to the practical application of regression discontinuity design in evaluating programs and policies. Regression discontinuity (RD) is an observational research design which can be used to make causal inference of program effects in non-experimental situations. Regression discontinuity is applied when program treatments are allocated based upon a pre-determined rule. For…

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October 2017

Introduction to matching and propensity score analysis

October 11 @ 10:00 am - 4:00 pm

A 6-hour workshop taught by Stephen R. Porter, Ph.D. You may also be interested in our introduction to binary logistic regression class. Register Overview Propensity score analysis (also known as “matching”) is a popular way to estimate the effects of programs and policies on outcomes. Yet researchers face a dizzying array of choices, in terms of particular matching techniques to use, as well as many different options for implementing a specific technique. This workshop provides a…

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Handling missing data: Multiple imputation for the applied researcher

October 12 @ 12:00 pm - 4:00 pm

A 4-hour workshop taught by Ryan S. Wells, Ph.D. You may also be interested in our increasing web survey response rates workshop. Register Overview Item-missing data is a serious concern for any quantitative researcher. Survey participants regularly skip questions, and administrative data is often incomplete. But what do to about this issue is not always straightforward. Researchers often analyze only complete cases (listwise deletion) or they impute missing information using means or regression analysis. These approaches can lead to…

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Writing and evaluating good survey questions

October 19 @ 12:00 pm - 4:00 pm

A 4-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview Writing good survey questions can be very difficult. This workshop will give participants a solid practical foundation in how to write good survey questions. The purpose of this workshop is to arm you with the knowledge to develop valid and reliable questionnaires by looking at approaches for developing survey questions and methods for evaluating them. As survey researchers, it is difficult to be certain that respondents…

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November 2017

Basics of multilevel modeling: handling grouped data in research and evaluation

November 1 @ 10:00 am - 4:00 pm

A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a range disciplines often collect data that have a hierarchical structure. Students are nested within schools (and/or classrooms), employees are nested within firms, and multiple test scores are nested within students. One consequence of this nested structure is that observations not statistically independent, thus violating a basic assumption of standard…

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