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Quantitative Methods: Theory and Design

R Week: Introduction – How R has Transformed Our Work by This Week’s Authors

Hello, we are David Keyes, Eric Einspruch, Tom McKlin, Ava Elliott, and Dana Wanzer. We are a group of evaluators who have come to embrace the power of R. Throughout this week, we look forward to sharing some of the benefits of this incredibly powerful software (that also happens to be free!). To start things …

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How a Lean Data Approach Can Change Your Effectiveness as an Evaluator by Elizabeth DiLuzio

Hi everyone, Elizabeth DiLuzio here. I’m the newest AEA365 curator and Manager of Evaluation and Strategy at Good Shepherd Services in NYC. Today, I want to share a semi-new approach to impact evaluation called lean data. The use case for a lean data approach is quite compelling: it’s a decision-making tool for when time and …

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Analyzing surveys with complex sampling designs? There’s an R package for that! By Monique Farone

Hi there! I’m Monique Farone (@moniquefarone), an internal evaluator at a local health department just outside Atlanta. At the 2018 American Public Health Association annual meeting, I presented a poster that examined data from our local Youth Risk Behavior Survey (YRBS) – data that I miraculously analyzed using R. I say that because I’m new …

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To Midpoint or Not to Midpoint: That is the Question by David Bernstein

I am David Bernstein, owner of DJB Evaluation Consulting and Director of Evaluation for the General Commission on Religion and Race of the United Methodist Church. There is a long running debate among Springsteen fans regarding whether Mary’s dress “waves” or “sways” in the song Thunder Road (1975, Born to Run). For many years, I …

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Data Analysis Basics – Part II Judy Savageau

Hello! I’m Judy Savageau from the Center for Health Policy and Research at UMass Medical School following up on yesterday’s post with Part II of basic data analyses. A number of posts outlining statistical/analytic details are in AEA365’s archives. For example, there are some great posts on “Readings for Numbers People (or Those Who Wish …

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Data Analysis Basics – Part I by Judy Savageau

Hello! I’m Judy Savageau from the Center for Health Policy and Research  at UMass Medical School. A recent post from Pei-Pei Lei, my colleague in our Office of Survey Research, introduced some options for statistical programming in R. I wondered whether a basic introduction to statistics might be in order for those contemplating ‘where do …

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Labor Day Week: Cleaning Up Data: Turning the Dirt by Samantha Theriault

My name is Samantha Theriault, and I am the Research Assistant at Randi Korn & Associates (RK&A), a research, evaluation and intentional planning company that specializes in museums and informal learning. Lesson Learned: As a research assistant, I spend much of my time entering and processing data.  Data entry and clean-up is time consuming and …

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Is R right for you? If yes… by Pei-Pei Lei

Greetings AEA community, I’m Pei-Pei Lei, a biostatistician in the Office of Survey Research at the University of Massachusetts Medical School. Have you been looking to expand your skill set in statistical programming? Have you wondered if R is the appropriate statistical software package for your needs? The purpose of this post is to help …

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Lisa Holliday and Olivia Stevenson on R the Easy Way: Rcmdr

We are Lisa Holliday and Olivia Stevenson. We are data architects with The Evaluation Group where we have recently begun to transition to R for data analysis.  R is a free program for statistical analysis that is powerful, but can have a steep learning curve if you want to utilize its scripting capabilities. Is R …

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