Data-Labor-Technology

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Welcome to AdExchanger Talks, a podcast focused on data-driven marketing. Subscribe here. The mobile app space remains a silo, thanks to the unique logic of installs and post-install engagement. But that will inevitably change as cross-device identity and omnichannel measurement take hold. Our guest on the podcast this week, Tune CEO Peter Hamilton, positioned his company early… Continue reading »

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Several of the adjustment approaches used in this study require a dataset that is highly representative of the U.S. adult population. This dataset essentially serves as a reference for making the survey at hand (e.g., the online opt-in samples) more representative. When selecting a population dataset, researchers typically use a large, federal benchmark dataset such […]

Raking Raked weights were created using the marginal distributions of the adjustment variables as derived from the synthetic population dataset, along with all two-way interactions of collapsed versions of the demographic variables. For the interactions, the 18-24 and 25-34 age categories were combined, the less than high school and high school graduate categories were combined, […]

This study, sponsored by Pew Research Center, used online opt-in survey data collected by three commercial vendors. Each vendor provided their own sample and administered the survey themselves, based on a common questionnaire. While no vendor makes the claim that that these are probability-based samples, they are intended to represent the noninstitutionalized U.S. adult population, […]

This report was made possible by The Pew Charitable Trusts. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. This report is a collaborative effort based on the input and analysis of the following individuals: Research team Andrew Mercer, Senior Research Methodologist Arnold Lau, Research Analyst Courtney Kennedy, Director, Survey […]

While previous sections of this report have focused on the kinds of systematic biases that may be the largest worry when it comes to public opinion polls, the variance (or precision) of estimates is important as well. Pollsters most commonly talk about precision in terms of the “margin of error” (MOE), which describes how much […]

To understand the relative merits of alternative adjustment procedures, each was assessed on its effectiveness at reducing bias for 24 different benchmarks drawn from high-quality, “gold-standard” surveys. These benchmarks cover a range of topics including civic and political engagement (both difficult topics for surveys in general), technology use, personal finances, household composition and other personal […]

Historically, public opinion surveys have relied on the ability to adjust their datasets using a core set of demographics – sex, age, race and ethnicity, educational attainment, and geographic region – to correct any imbalances between the survey sample and the population. These are all variables that are correlated with a broad range of attitudes […]

A growing share of polling is conducted with online opt-in, or nonprobability, samples. This trend has raised some concern within the industry because, while low participation rates pose a challenge for all surveys, the online opt-in variety face additional hurdles.

About a quarter of adults who were raised Muslim no longer identify as members of the faith. But Islam gains about as many converts as it loses.