Gary Langer
Biographic Data
| ID | 4403736 |
|---|---|
| NAME | Gary Langer |
| GIVEN NAMES | Gary |
| FAMILY NAME | Langer |
| SIGNATURE | LANGER G |
| AFFILIATIONS | Langer Research Associates, New York, NY, USA |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 37 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
The Cambridge Handbook of Implicit Bias and Racism
The concept of implicit bias – the idea that the unconscious mind might hold and use negative evaluations of social groups that cannot be documented via explicit measures of prejudice – is a hot topic in the social and behavioral sciences. It has also become a part of popular culture, while interventions to reduce implicit bias have been introduced in police forces, educational settings, and workplaces. Yet researchers still have much to understa…
Predicting State Presidential Election Results Using National Tracking Polls and Multilevel Regression with Poststratification (MRP)
This paper presents state-level estimates of the 2016 presidential election using data from the ABC News/Washington Post tracking poll and multilevel regression with poststratification (MRP). While previous implementations of MRP for election forecasting have relied on data from prior elections to establish poststratification targets for the composition of the electorate, in this paper we estimate both turnout and vote preference from the same pr…
The Association of Knowledge with Concern About Global Warming
During the last decade, a great deal of news media attention has focused on informing the American public about scientific findings on global warming (GW). Has learning this sort of information led the American public to become more concerned about GW? Using data from two surveys of nationally representative samples of American adults, this article shows that the relation between self-reported knowledge and concern about GW is more complex than w…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
Voters and Values in the 2004 Election
A poorly devised exit poll question undermined meaningful analysis of voters' concerns in the 2004 presidential election. Twenty-two percent of voters picked "moral values" from a list of "issues" describing what mattered most in their vote, more than selected any other item. Various commentators have misinterpreted this single data point to conclude that moral values are an ascendant political issue and to credit conservative Christian groups wi…
Voters and Values in the 2004 Election
A poorly devised exit poll question undermined meaningful analysis of voters' concerns in the 2004 presidential election. Twenty-two percent of voters picked "moral values" from a list of "issues" describing what mattered most in their vote, more than selected any other item. Various commentators have misinterpreted this single data point to conclude that moral values are an ascendant political issue and to credit conservative Christian groups wi…
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
Predicting State Presidential Election Results Using National Tracking Polls and Multilevel Regression with Poststratification (MRP)
This paper presents state-level estimates of the 2016 presidential election using data from the ABC News/Washington Post tracking poll and multilevel regression with poststratification (MRP). While previous implementations of MRP for election forecasting have relied on data from prior elections to establish poststratification targets for the composition of the electorate, in this paper we estimate both turnout and vote preference from the same pr…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
Voters and Values in the 2004 Election
A poorly devised exit poll question undermined meaningful analysis of voters' concerns in the 2004 presidential election. Twenty-two percent of voters picked "moral values" from a list of "issues" describing what mattered most in their vote, more than selected any other item. Various commentators have misinterpreted this single data point to conclude that moral values are an ascendant political issue and to credit conservative Christian groups wi…
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
The Association of Knowledge with Concern About Global Warming
During the last decade, a great deal of news media attention has focused on informing the American public about scientific findings on global warming (GW). Has learning this sort of information led the American public to become more concerned about GW? Using data from two surveys of nationally representative samples of American adults, this article shows that the relation between self-reported knowledge and concern about GW is more complex than w…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
Predicting State Presidential Election Results Using National Tracking Polls and Multilevel Regression with Poststratification (MRP)
This paper presents state-level estimates of the 2016 presidential election using data from the ABC News/Washington Post tracking poll and multilevel regression with poststratification (MRP). While previous implementations of MRP for election forecasting have relied on data from prior elections to establish poststratification targets for the composition of the electorate, in this paper we estimate both turnout and vote preference from the same pr…
The Cambridge Handbook of Implicit Bias and Racism
The concept of implicit bias – the idea that the unconscious mind might hold and use negative evaluations of social groups that cannot be documented via explicit measures of prejudice – is a hot topic in the social and behavioral sciences. It has also become a part of popular culture, while interventions to reduce implicit bias have been introduced in police forces, educational settings, and workplaces. Yet researchers still have much to understa…
Computer Science (4 works) · Political science (4 works) · Politics (4 works) · Sociology (4 works) · Demography (2 works) · Econometrics (2 works) · Economics (2 works) · Electoral Systems and Political Participation (2 works) · Epistemology (2 works) · Law (2 works)