Search

The R workshop on December 18th completely sold out in less than two days!


But, we have good news for you! Statistical Solutions Inc. is organizing a second 5-hour hands-on workshop on December 22nd! This workshop is designed to introduce the RStudio statistical environment to those who are looking to use RStudio for applied statistical tasks. Topics include data coding and management, data visualization, as well as how to perform descriptive and inferential data analyses.



This 5 hour hands-on workshop will be taught by Mariola Moeyaert, Ph.D. through Zoom. No prior knowledge of RStudio is assumed. Because Statistical Solutions is celebrating its first anniversary, the workshop is offered at a special discount price of $150 (normal price is $ 250). Detailed PowerPoint slides, individual consultations, and workshop recordings are included.

The workshop is organized on Tuesday, December 22 from 10am to 3pm (EST).

To sign up for this unique opportunity, email: mariolamoeyaert@gmail.com. Be fast as this workshop might sell out quickly too.


Agenda Workshop


This workshop is hands-on and held through Zoom, a video conferencing application. The instructor will share R code with the participants. The participants are encouraged to copy the code in RStudio or write code along with the instructor, and participate in the carefully designed exercises that will be interspersed throughout the day.


  1. Introduction to R/RStudio

RStudio Basics

Importing and exporting data

Basic data structures

Working with data (merging, sorting)

Understanding R functions and help files


2. Exploring, visualizing, and analyzing Data in Rstudio


Descriptive statistics and exploratory data plots

Data Visualizations

Recoding data

Bivariate techniques (e.g., t-tests, chi-square tests) and bivariate plots

Linear Models: Estimation and diagnostics




Updated: Dec 14, 2020

Statistical Solutions Inc. is celebrating its first anniversary with a 5-hour hands-on workshop! This workshop is designed to introduce the RStudio statistical environment to those who are looking to use R for applied statistical tasks. Topics include data coding and management, as well as how to perform descriptive, bivariate and multivariate analyses.





This 5 hour hands-on workshop will be taught by Mariola Moeyaert, Ph.D. through Zoom. No prior knowledge of RStudio is assumed. Because Statistical Solutions is celebrating its first anniversary, the workshop is offered at a special discount price of $150 (normal price is $ 250). Detailed PowerPoint slides, individual consultations, and workshop recordings are included. The first workshop is organized on Friday, December 18 from 10am to 3pm (EST).

To sign up for this unique opportunity, email: mariolamoeyaert@gmail.com.



Agenda Workshop


This workshop is hands-on and held through Zoom, a video conferencing application. The instructor will share R code with the participants. The participants are encouraged to copy the code in RStudio or write code along with the instructor, and participate in the carefully designed exercises that will be interspersed throughout the day.


  1. Introduction to R/RStudio

R Basics

Importing and exporting data

Basic data structures in R

Working with data (merging, sorting)

Understanding R functions and help files


2. Exploring, visualizing, and analyzing Data in R/Rstudio


Descriptive statistics and exploratory data plots

Data Visualizations

Recoding data

Bivariate techniques (e.g., t-tests, chi-square tests) and bivariate plots

Linear Models: Estimation and diagnostics



I am pleased to organize a free webinar on the design-comparable effect size (D-CES) for single-case design (SCD) studies. This webinar is intended primarily for researchers and applied analysts interested in quantifying SCD intervention effectiveness.

The webinar will cover the following topics:

  • Introduction to SCD and D-CES

  • Appropriate use of D-CES in the context of the WWC

  • Advantages and disadvantages of D-CES relative to other effect sizes appropriate for SCDs

  • Use of the web-based shiny application scdhlm to calculate D-CES

  • Walkthrough of calculating and interpreting the D-CES with example data

Presenters: Mariola Moeyaert, University at Albany – State University of New York Daniel M. Swan, What Works Clearinghouse

Moderator: Emily Tanner-Smith, What Works Clearinghouse

October 13, 2020 2:00–3:00 p.m. Eastern Time Register here: https://ies.ed.gov/ncee/wwc/Resources