Use of Survey Research in Top Mass Communication Journals 2001–2010 And the Total Survey Error Paradigm

2015 ◽  
Vol 15 (1) ◽  
pp. 39-59 ◽  
Author(s):  
Louisa Ha ◽  
Xiao Hu ◽  
Ling Fang ◽  
Sarah Henize ◽  
Sanghee Park ◽  
...  
Keyword(s):  
Survey Research ◽  
Mass Communication ◽  
Survey Error ◽  
Top Mass ◽  
Error Paradigm

Using the Total Survey Error Paradigm to Improve Cross-National Research on Religion

2017 ◽  
Author(s):  
Tom W. Smith
Keyword(s):  
Survey Research ◽  
Reliability And Validity ◽  
Functional Equivalence ◽  
National Surveys ◽  
Survey Error ◽  
Comparison Error ◽  
Traditional Approaches ◽  
Role Of Religion ◽  
Cross National

Cross-national research is an absolute necessity if we are to understand contemporary human societies in general and the role of religion in particular. To be useful, comparative survey research needs to meet high scientific standards of reliability and validity and achieve functional equivalence across surveys. This chapter examines how well-designed and well-executed cross-national/cultural survey research can best minimize error and maximize equivalence. The chapter first introduces the concept of total survey error (TSE), including interactions among the error components, its application when multiple surveys are involved, and comparison error across cross-national surveys. Second, obtaining functional equivalence and similarity in cross-national surveys is discussed. Third, the challenges of doing cross-national surveys are considered, as well as how combining traditional approaches for maximizing functional equivalence with the utilization of TSE can minimize comparison error and maximize comparative reliability and validity. Fourth, attention is given to minimizing comparison error in question wordings in general. Special attention is given to dealing with differences in language, structure, and culture. Lastly, specific issues relating to studying religion cross-nationally are examined.

Computers and Social Survey Research for Public Administration

2011 ◽  
pp. 265-292
Author(s):  
Michael L. Vasu ◽  
Ellen Storey Vasu ◽  
Al O. Ozturk
Keyword(s):  
Social Science ◽  
Public Administration ◽  
Survey Research ◽  
Research Methods ◽  
Survey Methods ◽  
Computer Assisted ◽  
Social Survey ◽  
Research And Practice ◽  
Survey Error ◽  
Survey Research Methods

The integration of social survey methods into public-administration research and practice is the focus of this chapter. Coverage applies to other social science disciplines as well. This chapter reviews the use of computers in computer-assisted survey research (CASR), computer-assisted interviewing, computer-assisted telephone interviewing (CATI), computer-assisted personal interviewing (CAPI), and survey research methods. The chapter takes the perspective of total survey error.

Survey Research in the Arab World

2017 ◽  
Author(s):  
Lindsay J. Benstead
Keyword(s):  
Data Quality ◽  
Survey Research ◽  
Research Agenda ◽  
Voting Behavior ◽  
Arab World ◽  
Data Sets ◽  
World Values Survey ◽  
Methodological Research ◽  
Survey Error ◽  
The Arab Spring

Since the first surveys were conducted there in the late 1980s, survey research has expanded rapidly in the Arab world. Almost every country in the region is now included in the Arab Barometer, Afrobarometer, or World Values Survey. Moreover, the Arab spring marked a watershed, with the inclusion of Tunisia and Libya and addition of many topics, such as voting behavior, that were previously considered too sensitive. As a result, political scientists have dozens of largely untapped data sets to answer theoretical and policy questions. To make progress toward measuring and reducing total survey error, discussion is needed about quality issues, such as high rates of missingness and sampling challenges. Ongoing attention to ethics is also critical. This chapter discusses these developments and frames a substantive and methodological research agenda for improving data quality and survey practice in the Arab world.

scholarly journals A Survey for Need Assessment to Classify Learning Styles of Students Studying in Master Degree Programs at Universities

2018 ◽  
Vol 34 (2) ◽  
Author(s):  
Zafar Iqbal ◽  
Zill E Huma ◽  
Sana Nasir
Keyword(s):  
Individual Differences ◽  
Public Sector ◽  
Learning Styles ◽  
Survey Research ◽  
Learning Style ◽  
Mass Communication ◽  
Teaching Style ◽  
Degree Programs ◽  
Public And Private ◽  
Public And Private Sector

Students’ learning is highly subjective owing to their individual differences, environment and background which decide their learning styles. The purpose of this study was to explore learning styles of university students owing to generic role in their learning. There is need to assess whether students of different universities with different backgrounds but with same discipline prefer same or different learning styles. Four general universities were selected; two from each, public sector and privatesector.314 students were involved in the study from selected universities. A questionnaire was developed in the light of literature to explore learning styles of students mainly based on Grasha Reichmann Learning Style Survey (1974). Survey research design was used to collect data. The number of students against every learning style was calculated through statistical distribution. To infer the significance of results, t-test and ANOVA were applied. The findings showed that learning styles were closely linked gender wise. Further, there was no vast difference in learning styles of the students in respect of public and private sector universities. Subject based results are generally aligned but there are variations in couple of subjects like mass communication. The study concludes that students use variety of learning styles in different situations. If teacher used teaching style compatible to preferred students learning style then they would take more interest in the lesson and learn better.

Using Focus Groups to Improve Survey Research

1992 ◽  
Vol 13 (1-2) ◽  
pp. 72-83 ◽  
Author(s):  
Elinor Kelley Grusin ◽  
Gerald C. Stone
Keyword(s):  
Focus Group ◽  
Focus Groups ◽  
Survey Research ◽  
Mass Communication

Mass communication researchers often ask questions that require individuals to recall past behaviors and events, but little attention has been given to how interviewers can stimulate recall. This study – applying focus group techniques – indicates survey respondents may have more to say than they initially think.

A Typology of Web Survey Paradata for Assessing Total Survey Error

2018 ◽  
Vol 37 (2) ◽  
pp. 196-213 ◽  
Author(s):  
Colleen A. McClain ◽  
Mick P. Couper ◽  
Andrew L. Hupp ◽  
Florian Keusch ◽  
Gregg Peterson ◽  
...  
Keyword(s):  
Measurement Error ◽  
Case Studies ◽  
Web Survey ◽  
Web Surveys ◽  
New Developments ◽  
Survey Error ◽  
Open Questions ◽  
Error Paradigm ◽  
The Web ◽  
Do So

This article reviews the existing literature on the collection of paradata in web surveys and extends the research in this area beyond the commonly studied measurement error problem to paradata that can be collected for managing and mitigating other important sources of error. To do so, and in keeping with the nature of paradata as process-oriented, we develop a typology of web survey paradata that incorporates information from all steps in the web survey process. We first define web survey paradata and describe general phases of paradata that run parallel to the steps in fielding a typical web survey. Within each phase, we enumerate several errors within the total survey error paradigm that can be examined with paradata, discussing case studies and motivating examples that illustrate innovative uses of paradata across the web survey process. We conclude with a discussion of open questions and opportunities for further work in this area. Overall, we develop this typology keeping technological advancements at the center of our discussion, but with flexibility to continuously incorporate new developments and trends in both technology and study design. Our typology encourages researchers to think about paradata as tools that can be used to investigate a broader range of outcomes than previously studied.

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