## August 2020

### Introduction to matching and propensity score analysis

A 6-hour workshop taught by Steve 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 concise introduction to matching for the applied…

Find out more »### Introduction to survey sampling for the applied researcher

A 3-hour workshop taught by Paul D. Umbach, Ph.D. Survey methods workshop series discount! Register for this along with our workshops on Increasing web survey response rates: What works? (September 3 or November 5) and Writing and evaluating good survey questions (October 1) for only $400 (would normally cost $550 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Have you ever wondered why survey researchers employ sampling? What are…

Find out more »## September 2020

### Increasing web survey response rates: What works?

A 4-hour workshop taught by Paul D. Umbach, Ph.D. Survey methods workshop series discount! Register for this along with our workshops on Introduction to survey sampling for the applied researcher (August 27) and Writing and evaluating good survey questions (October 1) for only $400 (would normally cost $550 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Are you getting low response rates when you conduct web surveys? This workshop…

Find out more »### Usage and applications of meta-analysis techniques

A 6-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview Meta-analysis is used to: combine evidence across different research studies; integrate multiple studies into a single statistical framework; yield more precise estimates of effect sizes; allow for unique treatment comparisons; explain differences arising from conflicting study results; and identify areas for future research. Meta-analytic methods are employed in a diverse array of disciplines across the social, behavioral, health, and agricultural sciences. This workshop provides hands-on exposure to the process involved in…

Find out more »### Refresher on multiple regression for the applied researcher

A 6-hour workshop taught by Steve Porter, Ph.D. Regression workshop series discount! Register for this along with our workshops on Logistic Regression: Analyzing binary outcomes (October 23) and Basics of multilevel modeling: Handling grouped data in research and evaluation (October 29) for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Many researchers have taken a course that covers multiple regression, the statistical workhorse…

Find out more »## October 2020

### Writing and evaluating good survey questions

A 4-hour workshop taught by Paul D. Umbach, Ph.D. Survey methods workshop series discount! Register for this along with our workshops on Introduction to survey sampling for the applied researcher (August 27) and Increasing web survey response rates: What works? (September 3 or November 5) for only $400 (would normally cost $550 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Writing good survey questions can be very difficult. This workshop will…

Find out more »### Exploring the power of predictive analytics: A step-by-step introduction to building a student-at-risk prediction model

A 5-hour workshop taught by Serge Herzog, Ph.D. Register Overview The purpose of this workshop is to teach institutional research, assessment, and evaluation professionals how to effectively build and implement a predictive model to identify students at risk of dropping out using standard regression methods with SPSS. Instruction will be delivered in a hands-on format, offering an interactive step-by-step model-building process that allows participants to develop their own prediction model, using preloaded data that mimics information available with the typical college enrollment…

Find out more »### Introduction to the R Statistical Computing Environment

A 6-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview The R statistical programming language and computing environment is a free, open-source package for statistical analysis. R has become the de-facto standard in statistics (see Muenchen, 2018; Suda, 2017) and is widely used in the social, health, physical, and computational sciences. Researchers transition to R because it is powerful, flexible, makes routine data analysis easy and has a large and rapidly growing community of users. This workshop is designed to introduce…

Find out more »### Handling missing data: Multiple imputation for the applied researcher

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 biased estimates and artificially small standard…

Find out more »### Regression discontinuity designs for evaluating programs and policies

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 example, if a remediation intervention is…

Find out more »### Student success prediction at your fingertips: Developing online dashboards with Microsoft Power BI©

A 5-hour workshop taught by Serge Herzog, Ph.D. Participants of this workshop will benefit from also taking our Predictive Analytics workshop. Register Overview The purpose of this workshop is to teach education professionals how to build online dashboards to predict student outcomes literally with ‘the push of a button’. Participants learn how to use common data files (Excel, CSV etc) with Power BI©, and how to create dashboards with interactive data visualization and drill-down tools that display predicted student outcomes (e.g. admission…

Find out more »### Logistic regression: Analyzing binary outcomes

A 4-hour workshop taught by Steve Porter, Ph.D. Regression workshop series discount! Register for this along with our workshops on Refresher on multiple regression for the applied researcher (September 25) and Basics of multilevel modeling: Handling grouped data in research and evaluation (October 29) for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Many outcomes in education are binary in nature: accept or…

Find out more »### Basics of multilevel modeling: handling grouped data in research and evaluation

A 6-hour workshop taught by Paul D. Umbach, Ph.D. Regression workshop series discount! Register for this along with our workshops on Refresher on multiple regression for the applied researcher (September 25) and Logistic Regression: Analyzing binary outcomes (October 23) for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview This workshop provides the basics of multilevel modeling, focusing on practical applications rather than statistical theory. Researchers…

Find out more »## November 2020

### Increasing web survey response rates: What works?

A 4-hour workshop taught by Paul D. Umbach, Ph.D. Survey methods workshop series discount! Register for this along with our workshops on Introduction to survey sampling for the applied researcher (August 27) and Writing and evaluating good survey questions (October 1) for only $400 (would normally cost $550 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview Are you getting low response rates when you conduct web surveys? This workshop…

Find out more »### Introduction to matching and propensity score analysis

A 6-hour workshop taught by Steve 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 concise introduction to matching for the applied…

Find out more »