May 2020
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 »June 2020
Introduction to survey sampling for the applied researcher
A 3-hour workshop taught by Paul D. Umbach, Ph.D. Summer survey methods workshop series discount! Register for this along with our June 16 web survey response rates and June 23 writing questions workshops 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 the implications of sampling? Are you considering sampling in your…
Find out more »Logistic regression: Analyzing binary outcomes
A 4-hour workshop taught by Steve Porter, Ph.D. Register Overview Many outcomes in education are binary in nature: accept or decline an offer of admission, pass or fail a course, persist to another year or stop out. Logistic regression, rather than multiple regression, is the standard approach to analyzing discrete outcomes. This workshop will train participants in applying logistic regression to their research, focusing on 1) the parallels with multiple regression, and 2) how to interpret model results for a wide…
Find out more »Increasing web survey response rates: What works?
A 4-hour workshop taught by Paul D. Umbach, Ph.D. Summer survey methods workshop series discount! Register for this along with our August 27 introduction to survey sampling and June 23 writing questions workshops 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 provides valuable information about how to increase web survey…
Find out more »Writing and evaluating good survey questions
A 4-hour workshop taught by Paul D. Umbach, Ph.D. Summer survey methods workshop series discount! Register for this along with our August 27 introduction to survey sampling and June 16 web survey response rates workshops 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 give participants a solid practical foundation in how to write good…
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 (January 19) 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 »November 2020
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. Predictive analytics workshop series discount! Register for this along with Student success prediction at your fingertips: Developing online dashboards with Microsoft Power BI© for only $300 (would normally cost $450 for both). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. 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…
Find out more »Introduction to matching and propensity score analysis
A 6-hour workshop taught by Steve Porter, Ph.D. Causal inference workshop series discount! Register for this along with our workshop on Regression discontinuity designs for evaluating programs and policies for only $350 (would normally cost $450 for both). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. 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…
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. Predictive analytics workshop series discount! Register for this along with Exploring the power of predictive analytics: A step-by-step introduction to building a student-at-risk prediction model for only $300 (would normally cost $450 for both). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. Register Overview The purpose of this workshop is to teach education professionals how…
Find out more »January 2021
Introduction to the R statistical computing environment – Part 1
A 6-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the first of two 6-hour workshops on the R statistical programming language. Sign up for Part 2 here. 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…
Find out more »Introduction to the R statistical computing environment – Part 2
A 6-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the first of two 6-hour workshops on the R statistical programming language. Sign up for Part 1 here. 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…
Find out more »Introduction to matching and propensity score analysis
A 6-hour workshop taught by Steve Porter, Ph.D. Causal inference workshop series discount! Register for this along with our workshop on Regression discontinuity designs for evaluating programs and policies for only $350 (would normally cost $450 for both). If you are interested in the workshop series, email us at mail@percontor.org for discount codes. 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…
Find out more »March 2021
Introduction to the SAS statistical computing environment
A 5-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview The SAS Institute is the world’s largest privately held software company software and is widely used in business, but also in the social, health, physical, and computational sciences. People use SAS because it is powerful, flexible, and makes routine data analysis easy. SAS software has proved itself as the market leader in providing a new generation of business intelligence software and services that creates intelligence. The SAS Institute is the only…
Find out more »June 2021
Refresher on multiple regression for the applied researcher
A 6-hour workshop taught by Steve Porter, Ph.D. Register Overview Many researchers have taken a course that covers multiple regression, the statistical workhorse of the social sciences, but have forgotten much of what they learned. The goal of this workshop is to review many of the main concepts of regression, from the perspective of the applied researcher (in other words, we won’t be reviewing any proofs!). The workshop focuses on 1) the underlying statistical assumptions, what happens when they are violated,…
Find out more »September 2021
Usage of RStudio for regression techniques and hierarchical linear modeling
A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the second of four 4-hour workshops on the R statistical programming language. Sign up for the other workshops in the series using the links below: Usage of RStudio for basic and intermediate inferential statistical analysis techniques Usage of RStudio for intermediate statistical analysis techniques: meta-analysis and propensity score analysis Usage of RStudio for intermediate statistical analysis techniques: structural equation modeling and regression discontinuity This workshop focuses on the usage…
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