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Quantitative Methods: Theory and Design

Paul Bakker on Abandoning the 95% Rule

I’m Paul Bakker, the founder and lead consultant of Social Impact Squared. I help agencies with a social purpose understand, measure, communicate, and improve their outcomes. One of the services I provide is data analysis, so I deal with statistical significance quite a lot. Hot Tip: Abandon the 95% rule. In statistics classes, they teach you to …

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Susan Kistler on Derived Variables and AEA Member Density by State

I am Susan Kistler, the American Evaluation Association’s Executive Director and aea365’s regular Saturday contributor. Last week, at the Minnesota Evaluation Studies Institute, we had a discussion about when to use derived variables. Lessons Learned – What is a derived variable? Derived variables are variables that are computed based on other variables. We began by …

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Johanna Morariu, Kat Athanasiades, and Ann Emery on New Research: The State of Evaluation 2012

Hello! We are Johanna Morariu, Kat Athanasiades, and Ann Emery from Innovation Network. For 20 years, Innovation Network has helped nonprofits and foundations evaluate and learn from their work. In 2010, Innovation Network set out to answer a question that was previously unaddressed in the evaluation field—what is the state of nonprofit evaluation practice and …

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LAWG Week: Joseph Gasper on Propensity Score Matching for “Real World” Program Evaluation

Welcome to the Evaluation 2013 Conference Local Arrangements Working Group (LAWG) week on aea365. I am Joseph Gasper, and I am a Senior Study Director with Westat, an employee-owned research corporation in Rockville, Maryland. Westat was hired by New York City’s Center for Economic Opportunity (CEO) to evaluate approximately 35 programs to move economically disadvantaged …

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Bloggers Series: Jess Chandler on jessachandler.com

Hi, fellow evaluators! I’m Jess Chandler, a consultant at Energy Market Innovations, a small firm primarily focused on energy efficiency and renewable energy program evaluation. Rad Resource – jessachandler.com: This blog is a combination of several voices of me, from personal concerns to evaluation methods. The content here has adapted over time and has only …

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Stacy Johnson on Analyzing Less Than Perfect Longitudinal Data

Hi, I’m Stacy Johnson, Senior Research Analyst at the Improve Group a national and international evaluation consulting organization based in Saint Paul, MN. The Improve Group works with organizations to make the most of information, navigate complexity and ensure their investments of time and money lead to meaningful, sustained impact. This past October at Evaluation …

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MN EA Week: Alex Chan on Adding Value to Value-Added

Hello!  My name is Alex (Chi-Keung) Chan and I am currently a Senior Lecturer at the Hong Kong Shue Yan University and a partner of A Data-Driven Consulting Group, LLP based in Minnesota.  Prior to that, I was a Senior Evaluation and Research Fellow at the Minneapolis Public Schools.  I have been adopting the value-added …

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Lindsay Demers on Inter-Rater-Reliability

My name is Lindsay Demers. I am an evaluator and quantitative methodologist at TERC in Cambridge, MA. I have worked as the lead data analyst on several projects at TERC, Lesley University, Boston College and Brandeis University. Hot Tip: You must calculate inter-rater reliability!  Calculating inter-rater reliability (IRR) is of the utmost importance when using …

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Manuel Voelkle and Han Oud on Longitudinal Data Analysis and Continuous Time Modeling

Greetings! We are Manuel Voelkle from the Max Planck Institute for Human Development in Berlin (Germany) and Han Oud from Radboud University in Nijmegen (The Netherlands). We are both interested in longitudinal data analysis and are trying to advance statistical methods for the analysis of change, as well as to improve their use and communication. …

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Carlen Erickson on R Tutorials and Learning Resources

Hello aea365. My name is Carlen Erickson and I am a student learning the statistics program R! I want to share two resources I have found invaluable. Rad Resource: R is a free statistical software package for conducting analyses of quantitative data. It is a free competitor to SAS or SPSS. R can be downloaded …

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