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December 2019

Introduction to matching and propensity score analysis

December 6, 2019 @ 11:00 am - 5:00 pm
$225

THIS WORKSHOP HAS BEEN CANCELLED.  Please sign up for the Introduction to Matching and Propensity Score workshop on January 30 or April 17. 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…

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January 2020

Introduction to matching and propensity score analysis

January 30 @ 11:00 am - 5:00 pm
$225

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…

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February 2020

Increasing web survey response rates: What works?

February 5 @ 12:00 pm - 4:00 pm
$175

A 4-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview Are you getting low response rates when you conduct web surveys? This workshop provides valuable information about how to increase web survey response rates. The purpose of this class is to arm you with the knowledge and range of techniques researchers suggest increase web survey response rates. We examine the heuristics people use when deciding to participate in a survey and answer survey questions and explore ways to increase the likelihood…

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

February 11 @ 1:00 pm - 6:00 pm
$200

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…

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Student success prediction at your fingertips: Developing online dashboards with Microsoft Power BI©

February 25 @ 1:00 pm - 6:00 pm
$200

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…

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March 2020

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

March 19 @ 10:00 am - 4:00 pm
$225

A 6-hour workshop taught by Paul D. Umbach, Ph.D. Register Overview This workshop provides the basics of multilevel modeling, focusing on practical applications rather than statistical theory. Researchers and evaluators from a range of 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 are not statistically independent, thus violating a basic assumption of standard analytical…

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April 2020

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

April 9 @ 1:00 pm - 6:00 pm
$200

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 matching and propensity score analysis

April 17 @ 11:00 am - 5:00 pm
$225

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 »

Student success prediction at your fingertips: Developing online dashboards with Microsoft Power BI©

April 23 @ 1:00 pm - 6:00 pm
$200

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 »

May 2020

Handling missing data: Multiple imputation for the applied researcher

May 29 @ 12:00 pm - 4:00 pm
$175

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…

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June 2020

Introduction to survey sampling for the applied researcher

June 9 @ 12:00 pm - 3:00 pm
$150

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…

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Logistic regression: Analyzing binary outcomes

June 10 @ 12:00 pm - 4:00 pm
$200

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…

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Increasing web survey response rates: What works?

June 16 @ 12:00 pm - 4:00 pm
$200

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…

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Writing and evaluating good survey questions

June 23 @ 12:00 pm - 4:00 pm
$200

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…

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July 2020

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

July 9 @ 1:00 pm - 6:00 pm
$225

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 »
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