Improving the Quality of Survey Data Using CAPI Systems in Developing Countries

2015 ◽  
Author(s):  
Mitchell Seligson ◽  
Daniel E. Moreno Morales
Keyword(s):  
Developing Countries ◽  
Survey Research ◽  
Survey Data ◽  
Latin American ◽  
Reliability And Validity ◽  
Computer Assisted ◽  
Industrial Countries ◽  
Many Sources ◽  
Field Interview

Controlling field interview quality is a major challenge in survey research. Even in high-quality surveys, interviewers often make mistakes that ultimately result in added error in results, including visiting the wrong locations, skipping questions or entire pages, failing to read the complete wording of the questions, or even committing fraud while filling out responses. Survey research conducted in developing countries has to deal with these problems more frequently than research conducted in advanced industrial countries. Computer assisted personal interview (CAPI) systems provide an ideal opportunity for improving the quality of the data by eliminating many sources of error and allowing unprecedented control of the field process. The Latin American Public Opinion Project’s (LAPOP) experience using ADGYS, an Android-based CAPI system, provides useful information on how this technology reduces interviewer-related error, offers opportunities to control the field process, and ultimately significantly improves the reliability and validity of survey data.

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.

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.

scholarly journals Pandemic in the network society: Network readiness increases population vulnerability to COVID-19 in less developed countries

2021 ◽  
Vol 71 (S1) ◽  
pp. 187-203
Keyword(s):  
Developing Countries ◽  
Latin American ◽  
Disease Risk ◽  
Developed Countries ◽  
Disease Spread ◽  
Data Sets ◽  
Way Of Life ◽  
The Developed Countries ◽  
The Impact

Abstract This paper examines the factors which determine the impact of network communication and network connections on the likelihood of contracting the new coronavirus in the European and Latin American countries. The author presents several data sets to prove the following suggestions: 1) The generalized indicators of economic development and society’s globalization are not indicators of how vulnerable a country’s population may be in a pandemic; 2) Not the economy as such, but the conventional way of life of people, their daily behaviour and habits have a decisive influence on the disease spread; 3) Factors of prevention of illness and health promotion such as the habit of exercise, distance, and network communications use modern online services to become protective factors against the risk of infection only at a certain level of development of the country; 4) In the developed countries, a much broader set of factors than in the developing countries determine protection against disease risk; 5) The evolution of a networked society opens up significant opportunities for the developing countries to improve the quality of life, and the emergence of new, progressive traditions.

Facing the Nonresponse Challenge

2012 ◽  
Vol 645 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Frauke Kreuter
Keyword(s):  
Data Collection ◽  
Survey Research ◽  
Survey Data ◽  
Quality Measures ◽  
Data Sources ◽  
Collection Process ◽  
Data Collection Process ◽  
Survey Estimates ◽  
Survey Designs

This article provides a brief overview of key trends in the survey research to address the nonresponse challenge. Noteworthy are efforts to develop new quality measures and to combine several data sources to enhance either the data collection process or the quality of resulting survey estimates. Mixtures of survey data collection modes and less burdensome survey designs are additional steps taken by survey researchers to address nonresponse.

Improving Data Quality in Face-to-Face Survey Research

2019 ◽  
Vol 53 (1) ◽  
pp. 46-50
Author(s):  
Carolyn Logan ◽  
Pablo Parás ◽  
Michael Robbins ◽  
Elizabeth J. Zechmeister
Keyword(s):  
Best Practices ◽  
Data Quality ◽  
Political Science ◽  
Survey Research ◽  
Survey Data ◽  
Political Behavior ◽  
High Quality ◽  
Face To Face ◽  
The World

ABSTRACTData quality in survey research remains a paramount concern for those studying mass political behavior. Because surveys are conducted in increasingly diverse contexts around the world, ensuring that best practices are followed becomes ever more important to the field of political science. Bringing together insights from surveys conducted in more than 80 countries worldwide, this article highlights common challenges faced in survey research and outlines steps that researchers can take to improve the quality of survey data. Importantly, the article demonstrates that with the investment of the necessary time and resources, it is possible to carry out high-quality survey research even in challenging environments in which survey research is not well established.

scholarly journals Are Smileys Valid Answers? Survey Data Quality with Innovative Item Formats

2020 ◽  
Author(s):  
Jacob Brauner
Keyword(s):  
Data Quality ◽  
Survey Research ◽  
Survey Data ◽  
Response Rate ◽  
Research Articles ◽  
Multiple Choice Questions ◽  
Literature Study ◽  
Specific Level ◽  
Response Options

Introduction: Survey research is often designed based on multiple-choice questions although many other formats, also referred to as innovative item formats (IIF) exist, such as ranking, sorting, questions with pictures or smileys as response options. Research has suggested that IIF in a broad sense can strengthen data quality, but research is needed on a more specific level. Therefore, the purpose of this article is to present research for separate IIFs about the data quality for that type of item. Method: A literature study was conducted to identify articles that test the data quality of IIF. For each IIF research was discussed regarding aspects of data quality, such as reliability, validity and response rate. Results: A total of 166 research articles were identified with data from 218,532 participants revealing aspects of 22 IIFs with 13 subcategories. The type of evidence on data quality is quite varied and for some IIFs the evidence is supportive, for some it is not and for some it is inconclusive. With 6 IIFs the evidence was estimated in favour hereof, for 11 IIFs the evidence was inconclusive, 1 unfavoured and for 3 there was no evidence. With 6 IIFs potential confounders were identified. Discussion: The study suggests further research is needed where evidence is scarce. The present study could initiate more extensive systematic reviews within specific categories of IIF.

Pupil diameter dynamics as an indicator of the respondent’s cognitive load: Methodological experiment comparing CASI and P&PSI

2021 ◽  
Vol 21 (1) ◽  
pp. 36-49
Author(s):  
I. F. Deviatko ◽  
M. B. Bogdanov ◽  
D. V. Lebedev
Keyword(s):  
Cognitive Load ◽  
Interpersonal Communication ◽  
Survey Data ◽  
Computer Literacy ◽  
Initial Assessment ◽  
General Interest ◽  
Computer Assisted ◽  
Eye Tracker ◽  
High Level

In recent years, the increase in general interest in methods for measuring cognitive load and subjectively perceived mental effort when solving various tasks and in the interpersonal communication was accompanied by an increase in the specific interest of social researchers in the multimodal assessment of the cognitive load of interviewers and respondents based on objective and subjective indicators, including paradata and webcam data, in order to control this loads impact on the quality of survey data. The authors argue that the possibilities of relatively new approaches to measuring cognitive load with neurophysiological methods (such as the use of wearable devices for oculography - eye tracking and pupillometry - which do not disrupt the natural course of respondents and interviewers activity) are still underestimated, although they allow an accurate time linkage of measured parameters dynamics (primarily the size of the pupil) to the question format, mode and phase of survey completion, external influences localized in time, etc. As a rule, quantitative studies of surveys cognitive load and its possible impact on the quality of survey data focus on computer-assisted (CAPI) or paper-based (PAPI) interviewing, while the specificity of the cognitive load in the self-completed computerized (CASI) and paper (PPSI) surveys was not studied. The article presents the results of the methodological experiment based on a modified version of the multimodal approach to the comparative assessment of the cognitive load of interviewers working with paper and computerized questionnaire. We expanded the range of methods for assessing cognitive load by using a wearable oculographic device (eye tracker) to measure the dynamics of pupil size when answering different survey questions. The results of the experiment confirmed the hypothesis about the approximate equivalence of the two modes of survey completion in terms of their cognitive load for younger respondents with a high level of functional computer literacy, and allowed an initial assessment of the technical and metrological capabilities and limitations of the use of pupil dynamics indicators, measured with a wearable oculographic device, to study the respondents cognitive load.

Trust, Populism, and the Quality of Government

2021 ◽  
pp. 248-267
Author(s):  
Philip Keefer ◽  
Carlos Scartascini ◽  
Razvan Vlaicu
Keyword(s):  
Collective Action ◽  
Survey Data ◽  
Latin American ◽  
Social Trust ◽  
Political Trust ◽  
High Quality ◽  
Electoral Strategies ◽  
Latin American Countries

Why do voters elect politicians whose populist policies degrade the quality of government? Low social trust can account for this paradox: it undermines the collective action by voters that is necessary to elect politicians who support high-quality government. If all voters believe that every other voter will accept particularistic benefits in exchange for supporting poorly performing governments, no voter has an incentive to spurn those benefits in order to select politicians who promise high-quality government. By the same logic, low social trust prevents voters from sanctioning politicians who renege on their promises. Low political trust springs from social mistrust, yielding low-quality government and populism as optimal electoral strategies. New survey data from seven Latin American countries reveal that respondents who exhibit low social trust are more likely to prefer populist policies that reflect a low quality of government.

Beach Uses and Users in Four Beaches of the Ecuadorian Coast: The Importance of Physical and Socioeconomic Conditions for Recreational Beach Use Assessment in Latin American Contexts

2019 ◽  
Vol 14 (3) ◽  
pp. 163-177
Author(s):  
Carla Ricaurte-Quijano ◽  
David Nacipucha ◽  
Julio Gavilanes ◽  
Fanny Manner ◽  
Alba Calles ◽  
...  
Keyword(s):  
Developing Countries ◽  
Urban Development ◽  
Latin American ◽  
Sandy Beaches ◽  
Socioeconomic Conditions ◽  
Recreational Beach ◽  
Tourism Services ◽  
Recreational Use ◽  
Beach Use

The understanding of the different conditions that shape the recreational use of sandy beaches is key for their management. This article explores visitors' and residents' recreational use of four sandy beaches in Ecuador in relation to the physical and socioeconomic context in which this use takes place, including beach morphodynamics, level of urban development, as well as the type and quality of tourism services available. Results show that visitors and residents use the beach for the same recreational activities (i.e., walking and swimming) on beaches with different morphologies and socioeconomic conditions. However, respondents also indicated that physical characteristics (e.g., beach size and swell) are important aspects for choosing a beach. Visitors to rural beaches are more likely to consume informal catering services located within the beach area than formal ones located outside. This particular emerging theme should be taken into consideration for further research on management initiatives in the context of developing countries.

An analysis of methodologic quality in survey research reported in the Journal of Clinical Oncology.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6616-6616
Author(s):  
Carrie M Tamarelli ◽  
David D. Howell
Keyword(s):  
Survey Research ◽  
Survey Methodology ◽  
Sample Selection ◽  
Reliability And Validity ◽  
Reporting Practices ◽  
Methodologic Quality ◽  
Time Period ◽  
Critical Components ◽  
Board Review

6616 Background: Survey research (SR) has been increasing as a percentage of published manuscripts in medical journals. SR plays an important role in studies of quality of life and patient preferences in treatment. Appropriate quality of methodology in SR is critical both to assure reliability and validity of survey results as well as to derive sound generalizations for larger populations from the subsets surveyed. Surveys that have deficient methodological criteria may suffer from significant flaws. A complete description and discussion of quality survey methodology, analysis, and results is essential for a thorough understanding and evaluation of published SR. Methods: Between January 2006 and December 2010, 227 articles in JCO were identified to have either “survey” or “questionnaire” in either the title or abstract. The most recent 52 consecutive articles fulfilling criteria from that time period were reviewed for reporting of survey methodology. A modification of Bennett et al.’s checklist for reporting SR was used for this analysis (Bennett C., et al. Reporting guidelines for survey research: An analysis of published guidance and reporting practices. PLoS Med 8(8): e1001069, 2011.). 35 metrics were used to analyze each survey. These metrics were grouped in the following categories: 1) title and abstract, 2) introduction, 3) methods (research tool, sample selection, survey administration and analysis), 4) results, 5) discussion, and 6) ethical quality indicators. Results: Of the 52 survey articles reviewed, the top quartile reported greater than 72% of the analyzed metrics. Half of the articles contained 63% or more of the desired metrics, and half of the articles had between 42% and 62% of the desired metrics. Some metrics were usually reported, such as ethics board review (reported in 85% of articles), but others were not consistently reported, such as calculation or justification of sample size (neither were reported in 71% of articles). Conclusions: A substantial number of articles reviewed reporting on survey research in JCO did not report critical components of survey methodology. More rigorous quality recommendations should be offered to guide authors in the report of survey research results.

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