eStudy

Longer, more in-depth virtual professional development is here! We are happy to host evaluation’s hottest workshop presenters in Professional Development eStudy. Via this site, you can view and PREregister for upcoming eStudy courses. PD eStudy courses are offered in real-time, live, via webinar, and are 3 or 6 hours long, broken into multiple 90 minute sessions.

Key things to know before registering:
  • eStudy courses will be recorded and made available for 14 days to all paid registrants
  • Your registration for an eStudy course covers all sessions for that course
  • There will be a short homework assignment, requiring an hour or less of your time, between sessions
  • Registration will close five business days in advance of the first session meeting
  • The webinar operates through GoToWebinar. Check your computer's requirements here.
Registration: Save time and money by learning through live eStudy courses with no travel needed to attend. Registration fees are based on the length of the full eStudy course and are parallel to the registration fees for the workshops when offered live at AEA's annual conference. Each registration is for a single person. We do not have group registration for eStudy offerings at this time. Once registration closes we can no longer accept anymore registrations. Some eStudy webinars maybe repeated and you may view current offerings anytime on this page.

COMPARISON OF eSTUDY REGISTRATION FEES


MEMBER NONMEMBER
STUDENT STUDENT NONMEMBER
eStudy with 3 Contact Hours Total
$75
$100
$40
$55
eStudy with 6 Contact Hours Total
$150
$200
$80
$110
One Year of AEA Membership
$85

$30


Upcoming eStudy Courses

eStudy 063: From A to R: An Introduction to R and Reproducible Analysis- Tony Fujs
Dates: Tuesday, August 18th and THursday August 20th from 2:00pm-3:30pm ET 
Length: 3/6 total contact hours 
Description: R is often described as the data analyst’s Swiss Army Knife. Whatever the data challenge you are facing, R almost certainly has the tools to address it! Because it does so many things, getting started with R may seem overwhelming at first. The objective of this project-based webinar is to smooth this starting phase:

By the end of this 3 hours workshop, you will have created your first analytic report with R!

Together; we will complete a simple, but very concrete data analysis project. In the process, and following the data analysis workflow, you will learn:

- How to navigate Rstudio ( a user friendly interface for R)
- How to load data into R
- How to conduct basic data manipulation
- How to generate summary statistics
- How to generate basic plots
- How to publish your results in one click.
- Attendees will have the opportunity to exercise their new skills through practical applications and hands-on activitie
s.

Note: This is an introductory webinar. Prior knowledge of R is not required, but attendees should be ready to play with R code!

Tony Fujs oversees all internal research and evaluation activities at the Latin American Youth Center. As the Director of Learning and Evaluation, he is responsible for supporting information-based decision making, and improving organizational performance. Tony has broad experience in research methods, monitoring and evaluation, and quantitative analysis. He has been using R for 5 years, and uses it to scale analytics, streamline reporting, and improve visualizations of LAYC’s data. Prior to joining LAYC, Tony worked for the United Nations Development Program and the German Cooperation (GIZ), conducting evaluation and analysis of social policies in Latin America. Tony holds a Bachelor of Arts in Economics and Finance from the University of Nantes, and a Master of Science in Economics from the University of Paris I Panthéon-Sorbonne.
 

Click here to register

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eStudy 063: Analyzing Evaluation Data in Excel- Ann Emery
Dates:
Monday, August 10th and Monday, August 17th from 2:00pm-3:00pm
Length:
3/6 Total Contact Hours 
Description:
Ever feel like you’re swimming upstream in data? Need to make sense of spreadsheets, but not sure where to start? Have a gut feeling that you’re not getting the most out of common software programs like Microsoft Excel? Ann K. Emery will guide you through the entire data analysis process: importing and merging multiple datasets together to build a master dataset that can be used for analyses; assessing missing data and removing duplicate entries; recoding and transforming variables; exploring preliminary patterns through spark lines and conditional formatting; running descriptive statistics and frequencies; performing inferential statistics (and guidance for using Excel plug-ins or other software programs for these analyses); saving time and energy with pivot tables; and dealing with names, dates, and text fields. We’ll utilizes a variety of sample spreadsheets, such as survey data, outcome data, demographic data, and more. This webinar is highly interactive; the instructor will demonstrate a skill and give you opportunities to practice immediately.

Day 1: Monday, August 10th:
Spreadsheet navigation tips, data cleaning and recoding variables, exploring preliminary patterns, and descriptive statistics.

Day 2: Monday, August 17th:
Pivot tables, time-saving techniques, and importing and merging multiple datasets together.

Click here to register
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eStudy 065: Twelve Steps of Quantitative Data Cleaning: Strategies for Dealing with Dirty Evaluation Data
Dates:
Tuesday and Thursday, September 15th, 17th, 22nd 23rd from 2:00pm-3:30pm ET
Length:
6/6 Total Contact Hours
Description:
 Evaluation Date, like a lot of research data, can be messy. Rarely are evaluators give data that is ready to be analyzed. Missing data, coding mistakes, and outliers are just some of the problems that evaluators should address prior to conducting analyses for their evaluation report. Even though data cleaning is an important step of data analysis, the topic has received little attention in literature, and the resources that are evailable tend to be complex and are not always use friendly. In this eStudy, you will go step-by-step through data cleaning process and learn suggestions for what to do at each step. 

Jennifer Ann Morrow
is an Associate Professor in Evaluation, Statistics and Measurement at the University of Tennessee with more than 17 years of experience teaching evaluation and statistics at the undergraduate and graduate level. She is currently working on a book about the 12-steps of data cleaning. 

Click here to register

In-Progress eStudy Courses




Past eStudy Courses

eStudy 001: Nonparametric Statistics - Jennifer Catrambone

eStudy 002: Utilization-Focused Evaluation - Michael Quinn Patton

eStudy 003: An Executive Summary is Not Enough: Effective Reporting Techniques for Evaluators - Kylie Hutchinson

eStudy 004: Social Network Analysis - Kimberly Fredericks

eStudy 005: Applications of Correlation and Regression: Mediation, Moderation, and More - Dale Berger

eStudy 006: Empowerment Evaluation - David Fetterman

eStudy 007: Introduction to Evaluation - Tom Chapel

eStudy 008: Creating Surveys to Measure Performance and Assess Needs - Michelle Kobayashi

eStudy 009: Introduction to Quantitative Methods for Evaluators - Katherine McKnight

eStudy 010: Using Theories and Frameworks of Evaluation Practice to Inform and Improve our Work - Christina Christie

eStudy 011: Beginner Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use - Michael Quinn Patton

eStudy 012: Intermediate Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use - Michael Quinn Patton

eStudy 013: Getting Started: Introductory Consulting Skills for Evaluators - Gail Barrington

eStudy 014: Focus Group Research: Understanding, Designing and Implementing - Michelle Revels

eStudy 015: An Executive Summary is Not Enough: Effective Reporting Techniques for Evaluators - Kylie Hutchinson

eStudy 016: Social Network Analysis for Beginners - Kimberly Fredericks

eStudy 017: Social Network Analysis for Intermediates - Kimberly Fredericks

eStudy 018: Nonparametric Statistics: What to Do When Your Data is Skewed or Your Sample Size is Small - Jennifer Camacho Catrambone

eStudy 019: Building Interactive Dashboards with Tableau - Daniel Hom

eStudy 020: Introduction to Evaluation - Tom Chapel

eStudy 021: Monitoring and Evaluation (M&E) Planning for Programs/Projects - Scott Chaplowe

eStudy 022: Creating Surveys to Measure Performance and Assess Needs - Michelle Kobayashi

eStudy 023: Applications of Correlation and Regression: Mediation, Moderation, and More - Dale Berger

eStudy 024: Creating and Automating Dashboards Using MS Word and Excel - Agata Jose-Ivanina & Ann Emery

eStudy 025: Getting Started: Introductory Consulting Skills for Evaluators - Gail Barrington 

eStudy 026: Causal Loop Diagrams for Conceptualization, Explanation, and Presentation - Jeff Wasbes

eStudy 027: Empowerment Evaluation - David Fetterman

eStudy 028: Monitoring and Evaluation (M&E) Planning for Programs/Projects - Scott Chaplowe

eStudy 029: Staying Power: Intermediate Consulting Skills for Evaluators - Gail Barrington 

eStudy 030: Introduction to Quantitative Methods for Evaluators - Katherine McKnight

eStudy 031: An Executive Summary is Not Enough: Effective Reporting Techniques for Evaluators - Kylie Hutchinson

eStudy 032: Creating Surveys to Measure Performance and Assess Needs - Michelle Kobayashi

eStudy 033: The Twelve Steps of Data Cleaning: Strategies For Dealing with Dirty Data - Jennifer Morrow

 

eStudy 034: Intermediate & Advanced Introduction to GIS (Geographic Information System) in Evaluation - David Robinson & Tarek Azzam

eStudy 035: Focus Group Research: Understanding, Designing and Implementing - Michelle Revels

eStudy 036: Practical Evaluation: An Overview and Introduction for Those New to Evaluation - Thomas Chapel

eStudy 037: Essentials of Utilization-Focused Evaluation - Michael Quinn Patton

eStudy 038: Reality Counts: Participatory methods for Engaging Vulnerable and Under-Represented Person in M&E- Mary Crave, Kerry Zaleski and Tererai Trent

eStudy 039: Practice Strategies for Managing Problem Behavior in Small Groups- Bob Kahle



eStudy 041: Beginning Developmental EvaluationMichael Quinn Patton

eStudy 040:Digital Qualitative: leveraging Technology for Deeper Insight
 - Bob Kahle

eStudy 042:
 
Intermediate Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use - Michael Quinn Patton

eStudy043: Nonparametric Stats- Jennifer Catrambone

eStudy 045: Practical Regression Analysis for Evaluation- Jeff Wasbes

eStudy 046: Staying Power: Intermediate Consulting Skills for Evaluators- Gail Barrington

eStudy 047: Creating Surveys To Measure Performance and Assess Needs- Michelle Kobayashi

eStudy 048: Empowerment Evaluation- David Fetterman

eStudy 049:
Data Visualization for Evaluation: Critical Thinking Skills, Design Principles, and Technical How-Tos- Ann Emery

eStudy 050: Authentic Instrument Development: Concrete Strategies for Collaborative and Participatory Design-Susan Kistler

eStudy 051: 
Actionable Evaluation- Jane Davidson 

eStudy 052: Practical Evaluation: An Overview and Introduction for Those New to Evaluation- Tom Chapel

eStudy 053: Monitoring and Evaluation (M&E) Planning for Programs/Projects- Scott Chaplowe

eStudy 054: Reporting Alternatives for Evaluators - Kylie Hutchinson

eStudy055: Introduction to Quantitative Methods for Evaluators- Katherine McKnight​

eStudy056: Audience Engagement Strategies for Potent Presentations- Sheila Robinson

eStudy057: Intermediate & Advance Introduction to GIS (Geographic Information System) in Evaluation- David Robinson and Tarek Azzam

eStudy058: Beginning Developmental Evaluation- Michael Quinn Patton

eStudy059: Intermediate Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use- Michael Quinn
Patton

eStudy 060: Applications of Correlation and Regression- Dale Berger

eStudy 062: Conflict Resolution Skills for Evaluators- Jeanne Zimmer

eStudy 061:Needs Assessment: A Mini Workshop- James Altschuld