## November 2020

### 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

### Introduction to the R statistical computing environment

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This hands-on workshop is designed to introduce RStudio to those who are looking to use R for applied statistical analysis tasks. No prior knowledge of RStudio is assumed. Topics include importing and exporting data, data coding, cleaning and management, as well as how to perform descriptive statistical analyses and data visualizations. Participants attending this workshop are well prepared to attend the upcoming R inferential statistical analysis workshops, and the R visualizations…

Find out more »### Usage of RStudio for basic and intermediate inferential statistical analysis techniques

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the first 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 regression techniques and hierarchical linear modeling 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 first RStudio workshop focuses on basic/intermediate…

Find out more »### 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…

Find out more »### Usage of RStudio for intermediate statistical analysis techniques: structural equation modeling and regression discontinuity

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the fourth 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 regression techniques and hierarchical linear modeling Usage of RStudio for intermediate statistical analysis techniques: meta-analysis and propensity score analysis This workshop introduces the use of R to run intermediate…

Find out more »## October 2021

### Data visualization using R

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview Data visualization is the quickest and most powerful technique to understand new and existing information. Exploratory data analysis (EDA) through visualizations marks the starting point of each data science project. The graphs produced during the EDA can inform which data analytic technique is best suitable. The data visualization can help communicate data science findings. This workshop will guide you on how to think about good data visualization. Through a series of examples, you…

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 »## December 2021

### Usage and application of meta-analysis techniques – Part 1

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the first of two 4-hour workshops on meta-analysis. Sign up for Part 2 here. 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…

Find out more »### Usage and application of meta-analysis techniques – Part 2

A 4-hour workshop taught by Mariola Moeyaert, Ph.D. Register Overview This is the second of two 4-hour workshops on meta-analysis. Sign up for Part 1 here. 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,…

Find out more »## January 2022

### 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? and Writing and evaluating good survey questions for only $425 (would normally cost $575 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…

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