Quantitative Methods: Theory and Design

Spectra Myers on Simplifying Data Analysis

My name is Spectra Myers, and I am a graduate student at the University of Minnesota’s Organizational Leadership Policy and Development working on a Masters in Evaluation Studies. I have been working closely with a Minneapolis agency addressing homelessness among youth on a service evaluation. The project included fielding a paper survey, data entry and …

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Ama Nyame-Mensah on Dealing with Demographic Data

Hi, I’m Ama Nyame-Mensah. I am a doctoral student at the University of Pennsylvania’s School of Social Policy & Practice. In this post, I will share with you some lessons learned about incorporating demographic variables into surveys or questionnaires. For many, the most important part of a survey or questionnaire is the demographics section. Not …

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Carla Hillerns and Pei-Pei Lei on a Quest to Eliminate Double-Barreled Survey Questions

We are Carla Hillerns and Pei-Pei Lei from the Office of Survey Research at the University of Massachusetts Medical School’s Center for Health Policy and Research. We’d like to discuss a common mistake in surveys – double-barreled questions. As the name implies, a double-barreled question asks about two topics, which can lead to issues of …

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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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Linda Cabral on To Transcribe or Not to Transcribe….That is the Question.

Greetings! I am Linda Cabral from the University of Massachusetts Medical School’s Center for Health Policy and Research. A big part of my job uses qualitative methods to evaluate different health and human services programs. Our data collection processes can include utilizing one-on-one or group interviews and as well as focus groups. With this type …

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Pei-Pei Lei and Carla Hillerns on Smart Survey Design: Randomization of Response Options

Hi, we are Pei-Pei Lei and Carla Hillerns from the Office of Survey Research at the University of Massachusetts Medical School. Have you ever selected an answer to a survey question without reading all of the choices? Maybe you paid more attention to the first choice than the rest? Today, we’d like to share a …

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Josh Twomey on An Evaluator’s Journey Toward Bayes: Part II

This is Josh Twomey again from UMass Medical School’s Center for Health Policy and Research. As promised in yesterday’s Part 1 posting, I wanted to walk through an example demonstrating aspects of Bayesian analysis that evaluators might find advantageous. Part 1 mentioned the use of the Bayes Factor (BF) as a decision-making tool. BFs tell …

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Josh Twomey on An Evaluator’s Journey Toward Bayes: Part I

My name is Josh Twomey, Assistant Professor of Family Medicine & Community Health, at UMass Medical School’s Center for Health Policy and Research. Perhaps you have noticed the term ‘Bayesian’ popping up now and then in the evaluators’ break room. I certainly have, and in recent months, set out on a statistical journey to find …

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Carla Hillerns and Pei-Pei Lei on You had me at Hello: Effective Email Subject Lines for Survey Invitations

Did we get your attention? We hope so. We are Carla Hillerns and Pei-Pei Lei – survey enthusiasts at the Office of Survey Research at the University of Massachusetts Medical School. An email subject line can be a powerful first impression of an online survey. It has the potential to convince someone to open your …

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PD Presenters Week: M. H. Clark and Haiyan Bai on Using Propensity Score Adjustments

Hi! We are M. H. Clark and Haiyan Bai from the University of Central Florida in Orlando, Florida. Over the last several years propensity score adjustments (PSAs) have become increasingly popular; however, many evaluators are unsure of when to use them. A propensity score is the predicted probability of a participant selecting into a treatment …

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