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statistics

Displaying Expertise for All Audiences: Don’t Forget the Simple Things by Patricia Campion

Hello AEA community, my name is Patricia Campion, PhD in Sociology and currently an independent evaluator with twenty years of experience. A valuable lesson I have learned through the years is that we shouldn’t be afraid to keep things simple to be mindful to our audience, and that it doesn’t mean we have to dumb …

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Oregon Evaluators Week: Using R to Automate Analysis and Provide Immediate Feedback to Clients by David Keyes

I’m David Keyes, the founder of R for the Rest of Us.  In addition to training folks to use R, I also do consulting work, helping organizations to do complex tasks with R to improve their work. Through doing this work, I’ve become convinced that R has the power to provide immediate feedback to organizations …

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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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Towards a “post p < 0.05 era” by Tamara Young

I’m Tamara Young and I am an associate professor in Educational Evaluation and Policy Analysis at North Carolina State University.  I teach evaluation theory and practice in education. Today, I’m going to discuss the American Statistical Association’s (ASA) Statement on p-values, which responds to the decades old highly contentious debate about null hypothesis statistical significance testing (NHSST). Implications of …

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FIE TIG Week: So you think math is an objective science? Think again. By Heather Krause

Hi, I’m Heather Krause a mathematical statistician, data scientist and founder of Datassist.  After many years collecting data, conducting analysis, and designing data communication material across the globe it became really clear to me that data is never neutral.  And that much of what we consider to be an objective science with “best practices” is …

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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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PD Presenters Week: Jennifer Catrambone Has Great News for Those of You Who Don’t Always Have Perfect Data

Hi there – my name is Jennifer Catrambone and I am the Director of Evaluation & Quality Improvement at the Ruth M Rothstein CORE Center in Chicago, Illinois. That’s an Infectious Disease Clinic specializing in HIV/AIDS. I’m presenting on my favorite nerdy topic – the what and how of Nonparametric Statistics. I’ve taught both parametric …

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Evaluation 2013 Conference Week: Kathy McKnight on PD Opportunities in Quantitative Methods

Hello! I’m Kathy McKnight, Principal Director of Research, Center for Educator Effectiveness at Pearson. Today I completed my annual 2-day introductory workshop on Quantitative Methods, which I’ve offered at AEA’s annual conference every year since….well, I’ve lost track. Over the years, I’ve observed a lot of evaluators who participate in my workshop, hungry to learn …

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PD Presenters Week: Jennifer Ann Morrow on What to Do With “Dirty” Data – Steps For Getting Evaluation Data Clean and Useable

I’m Jennifer Ann Morrow, a faculty member in Evaluation, Statistics, and Measurement at the University of Tennessee. I created a 12 Step process evaluators can follow to ensure their data is clean prior to conducting analyses. Hot Tip: Evaluators should follow these 12 steps prior to conducting analyses for evaluation reports: 1. Create a data …

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SWB Week: Cindy Weng, Chris Barker, and Larry George on Survival Analysis using Current Status Data

Greetings, I am Cindy Weng, a bio-statistician II employed at Pediatrics Research Enterprise at Department of Pediatrics at the University of Utah. This post was written together with my colleagues Chris Barker, SWB project manager and Larry George, statistician at Problem Solving Tools. I learned about this methodology through a project assigned by ASA Statistics …

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