A Proposal to Establish: A National Archives for Social Science Survey Data

1963 ◽  
Vol 6 (7) ◽  
pp. 27-31 ◽  
Author(s):  
Myron J. Lefcowitz ◽  
Robert M. O'Shea
1986 ◽  
Vol 10 (1) ◽  
pp. 85-86
Author(s):  
Robert R. Dykstra

Those skeptical of ecological regression in voting behavior studies continue to suggest that problems in applying the technique severely limit its utility. But the cautionary offered in the Winter 1985 number of this journal by William H. Flanigan and Nancy H. Zingale (“Alchemist’s Gold: Inferring Individual Relationships from Aggregate Data,” Social Science History 9: 71-91) goes so far as to suggest that these problems are insurmountable—or virtually insurmountable. As a user, I was prepared to be devastated, but in fact find myself cheered (if a little puzzled).Interested readers will recall that the centerpiece of the authors’ argument is a test involving this question: How did the voters of 1968 behave four years later in the presidential election of 1972? The test consists of comparing voters’ actual behavior, as determined by survey data, with ecological regression estimates of that same behavior. The tabulated results are alleged to be decisive in proving the authors’ point, but instead appear to prove just the opposite of what is intended, as a fresh look at the material reveals.


Author(s):  
Douglas S. Massey ◽  
Roger Tourangeau

Surveys are the principal source of data not only for social science, but for consumer research, political polling, and federal statistics. In response to social and technological trends, rates of survey nonresponse have risen markedly in recent years, prompting observers to worry about the continued validity of surveys as a tool for data gathering. This introductory article sets the stage for the comprehensive review that follows of the causes and consequences of nonresponse for survey data and the approaches that have been developed to address it.


2018 ◽  
Vol 20 (4) ◽  
pp. 827-845 ◽  
Author(s):  
Neil T Gavin

The notion that the media’s principal role regarding public opinion is reinforcement of pre-existing attitudes – and that this idea is relative inconsequential politically – is pervasive, across many political and social science sub-disciplines, and in non-academic commentary. This article comprehensively challenges the evidential and theoretical underpinnings of this thesis, drawing on a wealth of contemporary survey data and media coverage research, across a range of issues, including climate change, Brexit, immigration, the economy and benefit fraud. It also argues that ‘reinforcement’ is an important and consequential power, and that the processes involved have significant implications for public misperception of salient political issues. It makes the case that the media create attitudinal uncertainty, and can have pervasive but subtle influences on political attitudes, particularly when there are persistent patterns of coverage across a range of media. But also that in contexts like particularly close political contests, such influences can be decidedly consequential.


2021 ◽  
Author(s):  
Flurina M. Wartmann ◽  
C. B. Stride ◽  
F. Kienast ◽  
M. Hunziker

Abstract Context It is essential for policy-making and planning that we understand landscapes not only in terms of landscape ecological patterns, but also in terms of their contribution to people's quality of life. Objectives In this study our objective is to test relationships between landscape ecology and social science indicators, by investigating how landscape patterns are linked to people’s perception of landscape quality. Methods To assess public views on landscapes we conducted a survey among 858 respondents in Switzerland. We combined this survey data on perceived landscape quality and place attachment with landscape metrics (e.g. diversity, naturalness of land cover, urban sprawl, fragmentation) in a statistical model to test hypotheses about the relationships between the different variables of interest. Results Our results illustrate the contribution of both landscape composition metrics and social science indicators to understanding variation in people’s perception and assessment of landscape. For example, we found the landscape ecology metrics on urban sprawl and fragmentation to be a negative predictor of overall satisfaction with landscape, and that perceived landscape quality positively predicted place attachment and satisfaction with the municipality landscape. Conclusions This study highlights the importance and feasibility of combining landscape ecology metrics and public survey data on how people perceive, value and relate to landscape in an integrated manner. Our approach has the potential for implementation across a variety of settings and can contribute to holistic and integrated landscape assessments that combine ecological and socio-cultural aspects.


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