The Experts below are selected from a list of 3720 Experts worldwide ranked by ideXlab platform
Jon A. Krosnick - One of the best experts on this subject based on the ideXlab platform.
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Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys
Journal of Survey Statistics and Methodology, 2020Co-Authors: Josh Pasek, Jon A. KrosnickAbstract:Abstract Survey researchers today can choose between relatively higher-cost probability Sample telephone surveys and lower-cost surveys of Nonprobability Samples of potential respondents who complete questionnaires via the internet. Previous studies generally indicated that the former yield more accurate distributions of variables, but little work to date has explored the impact of mode and sampling on associations between variables and trends over time. The current study did so using parallel surveys conducted in 2010 focused on opinions, events, behavioral intentions, and behaviors involving that year’s Decennial Census. A few comparisons indicated that the two data streams yielded similar results, but the two methods frequently yielded different results, often strikingly so, and the results yielded by the probability Samples seem likely to be the more accurate ones.
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A review of conceptual approaches and empirical evidence on probability and Nonprobability Sample survey research
Journal of Survey Statistics and Methodology, 2020Co-Authors: Carina Cornesse, Annelies G. Blom, David Dutwin, Jon A. Krosnick, Edith D. De Leeuw, Stéphane Legleye, Josh Pasek, Darren Pennay, Benjamin Phillips, Joseph W. SakshaugAbstract:There is an ongoing debate in the survey research literature about whether and when probability and Nonprobability Sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability sampling as a function of the survey design, whereas inferences based on Nonprobability sampling are entirely dependent on models for validity. This article reviews the current debate about probability and Nonprobability Sample surveys. We describe the conditions under which Nonprobability Sample surveys may provide accurate results in theory and discuss empirical evidence on which types of Samples produce the highest accuracy in practice. From these theoretical and empirical considerations, we derive best-practice recommendations and outline paths for future research.
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national surveys via rdd telephone interviewing versus the internet comparing Sample representativeness and response quality
Public Opinion Quarterly, 2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD telephone interviewing, by the In- ternet with a probability Sample, and by the Internet with a Nonprobability Sample of people who volunteered to do surveys for money. The probabil- ity Samples were more representative of the nation than the Nonprobability Sample in terms of demographics and electoral participation, even after weighting. The Nonprobability Sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The telephone data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Inter- net data, and the probability Internet Sample manifested more random error and satisficing than did the volunteer Internet Sample. Practice at completing surveys increased reporting accuracy among the probability Internet Sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the Nonprobability Internet sam- ple. Thus, the Nonprobability Internet method yielded the most accurate self-reports from the most biased Sample, while the probability Internet Sample manifested the optimal combination of Sample composition ac- curacy and self-report accuracy. These results suggest that Internet data collection from a probability Sample yields more accurate results than do
Linchiat Chang - One of the best experts on this subject based on the ideXlab platform.
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national surveys via rdd telephone interviewing versus the internet comparing Sample representativeness and response quality
Public Opinion Quarterly, 2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD telephone interviewing, by the In- ternet with a probability Sample, and by the Internet with a Nonprobability Sample of people who volunteered to do surveys for money. The probabil- ity Samples were more representative of the nation than the Nonprobability Sample in terms of demographics and electoral participation, even after weighting. The Nonprobability Sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The telephone data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Inter- net data, and the probability Internet Sample manifested more random error and satisficing than did the volunteer Internet Sample. Practice at completing surveys increased reporting accuracy among the probability Internet Sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the Nonprobability Internet sam- ple. Thus, the Nonprobability Internet method yielded the most accurate self-reports from the most biased Sample, while the probability Internet Sample manifested the optimal combination of Sample composition ac- curacy and self-report accuracy. These results suggest that Internet data collection from a probability Sample yields more accurate results than do
Judith Bradford - One of the best experts on this subject based on the ideXlab platform.
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intersecting identities and substance use problems sexual orientation gender race and lifetime substance use problems
Journal of Studies on Alcohol and Drugs, 2014Co-Authors: Ethan H Mereish, Judith BradfordAbstract:Objective:Research has documented that sexual minorities are at greater risk for substance use than heterosexuals. However, there are limited studies and mixed findings when investigating these health disparities among racial and ethnic minority Samples. We used an intersectionality framework to examine disparities in lifetime substance use problems between heterosexual and sexual minority men and women and within sexual minority groups among a racially diverse Sample.Method:A Nonprobability Sample of heterosexual (n = 1,091) and sexual minority (n = 1,465) patients from an urban community health center ranged in age from 18 to 72 years. Participants completed a brief patient survey and reported demographic information and history of lifetime substance use problems. Logistic regressions analyses were used to examine interactions between and among sexual orientation, gender, and race.Results:We found a significant three-way interaction among sexual orientation, gender, and race. Sexual minorities had a gre...
Michelle C. Kegler - One of the best experts on this subject based on the ideXlab platform.
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Smoke-Free Policies in Multiunit Housing: Smoking Behavior and Reactions to Messaging Strategies in Support or in Opposition
Preventing chronic disease, 2015Co-Authors: Carla J. Berg, Regine Haardörfer, Michael Windle, Madeleine Solomon, Michelle C. KeglerAbstract:Introduction Given the high proportion of US adults living in multiunit housing (MUH) and the related risks of secondhand smoke, we examined correlates of having smoke-free MUH policies, level of support for such policies, and reactions to related messaging among a quota-based Nonprobability Sample of US adults.
Ethan H Mereish - One of the best experts on this subject based on the ideXlab platform.
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intersecting identities and substance use problems sexual orientation gender race and lifetime substance use problems
Journal of Studies on Alcohol and Drugs, 2014Co-Authors: Ethan H Mereish, Judith BradfordAbstract:Objective:Research has documented that sexual minorities are at greater risk for substance use than heterosexuals. However, there are limited studies and mixed findings when investigating these health disparities among racial and ethnic minority Samples. We used an intersectionality framework to examine disparities in lifetime substance use problems between heterosexual and sexual minority men and women and within sexual minority groups among a racially diverse Sample.Method:A Nonprobability Sample of heterosexual (n = 1,091) and sexual minority (n = 1,465) patients from an urban community health center ranged in age from 18 to 72 years. Participants completed a brief patient survey and reported demographic information and history of lifetime substance use problems. Logistic regressions analyses were used to examine interactions between and among sexual orientation, gender, and race.Results:We found a significant three-way interaction among sexual orientation, gender, and race. Sexual minorities had a gre...
