Estimating the public's social preference function between inflation and unemployment using survey data: The survey research center versus Gallup

1999 ◽  
Vol 24 (3) ◽  
pp. 361-372 ◽  
Author(s):  
David J. Smyth ◽  
Pami Dua ◽  
Susan W. Taylor
Keyword(s):  
Survey Research ◽  
Survey Data ◽  
Social Preference ◽  
Preference Function ◽  
Research Center

Index of Consumer Sentiment: Applicability at the Local Level and Sensitivity to Socioeconomic Status

1979 ◽  
Vol 45 (3) ◽  
pp. 779-786
Author(s):  
Samuel Mudd ◽  
Douglas Beaver
Keyword(s):  
Socioeconomic Status ◽  
Survey Research ◽  
Local Level ◽  
Small Sample ◽  
Research Center ◽  
Sample Surveys ◽  
Consumer Sentiment ◽  
National Surveys ◽  
Local Sample

The five standard items of the Survey Research Center Index of Consumer Sentiment were administered to a local sample of households in May of two successive years by relatively untrained interviewers. The resulting values were found to be sensitive to differences in socioeconomic status and reflected changes in value from 1975 to 1976 that could be related meaningfully to the conventional values based on quarterly, national samples. It was suggested that the local and sub-population utility of the index could be pursued using frequent small sample surveys requiring less highly trained interviewers than those used for national surveys.

Best Practice in Online Survey Research with Sensitive Topics

2013 ◽  
pp. 157-168 ◽  
Author(s):  
Kristina M. Kays ◽  
Tashina L. Keith ◽  
Michael T. Broughal
Keyword(s):  
Gender Differences ◽  
Survey Research ◽  
Survey Data ◽  
Best Practice ◽  
Online Survey ◽  
Survey Design ◽  
Sensitive Material ◽  
Sensitive Topics ◽  
Need To Evaluate

This chapter addresses the main considerations in online survey research with sensitive topics. Advances in technology have allowed numerous options in addressing survey design, and thus created a need to evaluate and consider best approaches when using online survey research. This chapter identifies subjects such as item non-response in online survey research. In addition, this chapter includes a description of the differences in researching non-sensitive topics versus sensitive topics, and then lists a number of best practice strategies to reduce item non-response and improve the quality of survey data obtained. Included are specific considerations for defining sensitive topics and addressing gender differences when surveying more sensitive material. Additional resources in online survey research design are recommended.

Victimization

2018 ◽  
pp. 25-51
Keyword(s):  
Sexual Orientation ◽  
Survey Data ◽  
Statistical Methods ◽  
Sexual Minority ◽  
Research Center ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Cyber Aggression ◽  
Intermediate Variable

Not all groups are equally likely to be subject to acts of aggression; specific subgroups are more likely to be victimized. For example, youth who identify as a sexual minority are more likely to be victims of traditional forms of bullying than their heterosexual friends. There has been less research, however, on population subgroups and the likelihood of becoming a victim of cyber aggression. In exploring this topic, this chapter examines several questions including, “How important is the amount of time spent online as an intermediate variable in predicting whether an individual will become a victim of cyber aggression?” and “Does sexual orientation impact the likelihood of being a victim of cyberaggression above and beyond the amount of time spent online?” Multivariate statistical methods and survey data from the Pew Research Center for the year 2014 was used in this analysis.

Victimization

2022 ◽  
pp. 130-148
Author(s):  
Ramona S. McNeal ◽  
Susan M. Kunkle ◽  
Mary Schmeida
Keyword(s):  
Sexual Orientation ◽  
Survey Data ◽  
Statistical Methods ◽  
Sexual Minority ◽  
Research Center ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Cyber Aggression ◽  
Intermediate Variable

Not all groups are equally likely to be subject to acts of aggression; specific subgroups are more likely to be victimized. For example, youth who identify as a sexual minority are more likely to be victims of traditional forms of bullying than their heterosexual friends. There has been less research, however, on population subgroups and the likelihood of becoming a victim of cyber aggression. In exploring this topic, this chapter examines several questions including, “How important is the amount of time spent online as an intermediate variable in predicting whether an individual will become a victim of cyber aggression?” and “Does sexual orientation impact the likelihood of being a victim of cyberaggression above and beyond the amount of time spent online?” Multivariate statistical methods and survey data from the Pew Research Center for the year 2014 was used in this analysis.

Structural change in the United States' social preference function, 1953–88

1991 ◽  
Vol 23 (4) ◽  
pp. 763-768 ◽  
Author(s):  
David J. Smyth ◽  
Susan W. Taylor ◽  
Pami Dua
Keyword(s):  
United States ◽  
Structural Change ◽  
Social Preference ◽  
The United States ◽  
Preference Function

ENSURING QUALITY IN SURVEY RESEARCH

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Gopi K Khanal
Keyword(s):  
Survey Research ◽  
Survey Data ◽  
Reliability And Validity ◽  
Total Quality ◽  
Sampling Errors ◽  
Research Survey ◽  
The Social ◽  
Validity Tests ◽  
Survey Approach

This descripto-analytical paper on ensuring quality in survey research discusses the management of errors in administering survey. This paper aims to help the social science researchers to ensure the quality in the process and outcomes of survey research. It begins with the brief conceptual underpinnings of survey research, discusses about reliability and validity tests in survey, elaborates the notion of total survey error approach, and suggests some measures on handling survey errors. Given the wider applications and substantial costs associated with survey research, the issues of sampling and non-sampling errors have always been major concerns in the quality of survey research. Survey research can be instrumental in generating knowledge provided survey errors are handled properly. Though a variety of measures are in practices to ensure quality of survey data, this paper gives importance on total survey approach that gives emphasis on total quality management in the collection, analysis, and interpretation of data. Dealing survey data from the perspective of total survey approach would yield fruitful results from survey research.

Open Adoption as a Family Form

2005 ◽  
Vol 26 (3) ◽  
pp. 380-410 ◽  
Author(s):  
Charlene E. Miall ◽  
Karen March
Keyword(s):  
Survey Research ◽  
Survey Data ◽  
Random Sample ◽  
Telephone Survey ◽  
Qualitative Interviews ◽  
Adoptive Parents ◽  
Adopted Children ◽  
Open Adoption ◽  
Clinical Assessments ◽  
Advantages And Disadvantages

In this article, community assessments of support for three levels of open adoption are examined, including two types of mediated adoption, fully disclosed adoption, and confidential adoption. Combining telephone survey data from a Canada-wide random sample of 706 respondents with 82 qualitative interviews, the authors report on community assessments of these levels of openness and the relevance of these results for other survey research conducted on these issues. The authors also explore community assessments of the perceived advantages and disadvantages of open adoption and confidential adoption for adoptive parents, birthparents, and adopted children and how these may or may not reflect clinical assessments. Finally, the authors consider the implications of these results for clinical initiatives with members of the adoption triangle.

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