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American Association for Public Opinion Research
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Interview & Discussion Guide Development: A Quality Approach

Interview & Discussion Guide Development: A Quality Approach to Achieve Credible Data with Margaret R. Roller, was recorded in March 2019.

There are many considerations that go into qualitative research design that are fundamental to the integrity of the data. A design consideration that is central to qualitative data collection is the guide that the researcher will use to engage with participants. The in-depth interview and focus group discussion methods, in particular, require guides that effectively address the construct validity of the outcomes, i.e., how well the data gathered using the guide accurately reflect the concepts, topics, and issues that the researcher claims to have measured. In this webinar, I will discuss why a quality approach to guide development is necessary to the ultimate usefulness of qualitative data, and how to achieve it. Specifically, I will discuss: the 4-stage funnel approach to guide development (i.e., what it is, how it mitigates potential researcher effects and nonresponse, how to construct it); considerations when developing questions and probes (e.g., limiting the "why" question); examples of the approach in practice; and the nuances between an interview and a discussion guide. As time allows, I will also touch on mode differences; in particular, guide considerations for the online mode.


Item Response Theory (IRT) and Application (Dec 2013)

An Introduction to Item Response Theory (IRT) and Application of IRT for Survey Design and Evaluation with Bryce Reeve, PhD, was recorded December 2013. You must log in to receive member pricing.

Language and survey data quality: Sociolinguistics and data

Through an interactive data visualization demo, this Webinar applies a quantitative approach to language by modeling household language, English proficiency, and mode in the American Community Survey (2006-2017) to present a longitudinal perspective on the effects of household language on data quality. We provide data science education by demonstrating techniques to manipulate and visualize freely available and reproducible data and analysis through data.census.gov (formerly the American FactFinder) and R interfaces. To cross-fertilize quantitative and qualitative approaches, we also introduce a sociolinguistic framework that leverages qualitative insights to understand the role of language in survey research, focusing on the need for non-English language survey assistance to reach increasingly diverse populations.

Leveraging SMS for Survey Research

Leveraging SMS for Survey Research with Jenny Marlar, M.S. and Matt Hoover, Ph.D., was recorded in June 2019.

Text messaging is near ubiquitous in the U.S - most adults now own a cell phone, and a majority report that they check it on a regular basis for messages and other alerts. Research has also shown that text messages are significantly more likely than emails to be opened and to be opened quickly. Internationally, the use of text messaging is rapidly expanding, and Gallup research has found that in over 130 countries, the majorities of households now own a cellphone. With the widespread adoption of text messaging (SMS), how can researchers leverage this technology for reaching respondents and improving survey participation? This webinar will begin by summarizing the existing knowledge on SMS for survey research and discuss the strengths and weakness of SMS for data collection through the lens of total survey error. We will review the challenges and limitations of integrating text messaging into a research design and highlight areas of opportunity. Finally, we will walk through the steps for implementing SMS into communications and data collection.


Methods for Cross-Cultural Survey Design (Feb 2014)

Methods for Cross-Cultural Survey Design with Patti Goerman, PhD and Peter Mohler, PhD, was recorded February 2014. You must log in to receive member pricing.

Mixed Mode Surveys 101 Kit

Why Do a Mixed-Mode Survey? with Don A. Dillman, was recorded March 2017.

Single and Multi-Mode Surveys Using Address Based Sampling with Colm O'Muircheartaigh, was recorded June 2012.

A "How To" Course on AAPOR Response Rate Calculations and Practical Examples from the Field with David Dutwin, PhD, was recorded October 2016

Planning and Implementing Responsive Designs with James Wagner, was recorded April 2015.

Good Questionnaire Design: Best Practices in the Mobile Era with Frances M. Barlas and Randall K. Thomas, was recorded January 2017

The Questionnaire Design Pitfalls of Multiple Modes with Pamela Campanelli, PhD and Gerry Nicolaas, was recorded November 2013.


Mobile Data Colllection and New Technology Kit

Data Science Trends and Tools for Measuring Attitudes and Behaviors with Michael Link, PhD, was recorded October 2017.

How to Do Text Message Surveys with Trent Buskirk, PhD and Philip Brenner, PhD, was recorded in February 2017.

Improving Surveys with Paradata: Making Use of Process Information with Frauke Freuter, was recorded April 2012.


Multilevel Modeling: A Practical Overview (Nov 2014)

Multilevel Modeling: A Practical Overview with Brady West, was recorded November 2014. You must log in to receive member pricing.

Nonprobability Samples 101 Kit

Non-probability Sampling for Finite Population Inference with Jill Dever and Richard Valliant, was recorded October 2016.

The Mixology of Samples-Blending Probability and Nonprobability Samples

The times, they are a-changing! Subsequent to the webinar conducted in February on the fundamentals of nonprobability samples, this presentation provides concrete recommendations for producing inferences from surveys that rely on blended probability and nonprobability samples based on our years of hands-on experience. After a brief recap of the previous webinar, we will discuss robust weighting methodologies that can reduce some of the inherent biases of nonprobability samples, including extending weighting adjustments beyond standard geodemographic realignments. We then introduce an option for the optimal integration of surveys from different samples, and touch upon fusion of ancillary data from external sources. Next, we will provide recommendations for practical alternatives for approximating error margins from blended samples. We will end this webinar with some contemplations about the new directions in survey sampling in the digital age.Mansour Fahimi,Frances Barlas, and Randall Thomas, was recorded in March 2018.

Practical Guide for Surveys Based on Nonprobability Samples

Mansour Fahimi,Frances Barlas, and Randall Thomas, was recorded in February 2018. This webinar will will begin with an overview of different types of nonprobability samples and discuss their pros and cons from a fitness for use perspective. Focusing on online surveys, we will cover best practices for sourcing and selection of such samples, including effective options for sample balancing, incentive options, and considerations for data quality given the vast and varied landscape of sample providers. Lastly, we will lay the foundation for our next webinar on robust weighting and calibration methodologies that can reduce some of the inherent biases of such samples, as well as optimal methods for blending probability and nonprobability samples. We will end this webinar with some contemplations about the new directions in survey sampling in the digital age.

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