Cultural Aspects of Total Survey Quality: Entrepreneurship Research in the Kingdom of Tonga (original) (raw)

Minimising Total Survey Error when Measuring Entrepreneurship in Tonga

This study illustrates how the Total Survey Error (TSE) paradigm can identify and help reduce multiple sources of error inherent in survey work in the developing world. Of particular concern are mode errors and coverage errors caused by the 'theoretical teledensity threshold' of doing phone surveys in developing countries. The study outlines ways to improve response rate and to avoid interviewer and measurement error. It narrates the sampling design and its limitations as well as some of the qualitative aspects of total survey quality such as, translation, ethics and budgeting. The final section discusses implications for further research in statistical auto-correlation and data gathering using PDAs.

New Survey Technologies in the Asia- Pacific: A Proposal for a Mixed-Mode Experiment

Responding to increasing cultural diversity and rapid changes in technology and the conduct of survey research, this paper addresses the need for refined tools and improved procedures in cross-cultural and cross-national studies worldwide. Our substantive case is the level of business and social entrepreneurship in the developing world. The paper does not present results but rather proposes the outlines of a large-scale mixed mode survey experiment testing four different survey modes progressively over five Asia-Pacific developing countries to investigate mode effects within the light of business development and new technology. This study advances technology through the development of a mobile internet survey device that reduces errors from multiple sources though optimal survey design taking into account total survey error.

Moving Survey Methodology Forward in Our Rapidly Changing World: A Commentary

2016

Survey methodology now faces an unprecedented challenge for how to collect information from samples of people that will provide scientifically defensible estimates of the characteristics of the population they represent. Many decades of research have shown that in order for such estimates to be made with known precision four major sources of error-coverage, sampling, measurement and nonresponse-must be controlled (Groves, 1989). Subsequent research has produced a great amount of knowledge on how those sample estimates are affected by different survey modes, sample sources, sample sizes, the failure of certain types of people to respond to survey requests, and how questions are structured and worded.Today's challenge stems from many considerations. Response rates for some survey modes, especially voice telephone in national surveys, have fallen precipitously and are not expected to recover (Dillman, Forthcoming). In addition, RDD landline surveys miss nearly half of all household...

Survey Mode Effects in a Developing Country: Comparing Phone and Face-to-Face Surveys in Costa Rica

Revista Latinoamericana de Opinión Pública (RLOP), 2022

Responses to phone surveys tend to exhibit higher rates of social desirability bias and extreme responses when compared to face-to-face surveys. Yet, studies of mode effects typically compare either representative studies that implausibly assume comparability or experimental studies that rely on convenience samples. Our study compares two national probability samples but uses matching to address comparability. We study Costa Rica, a middle-income democracy, to see whether the conventional wisdom drawn from Western Europe and North America extends to the Global South. We analyze two nationally representative surveys, one fielded by phone and one face-to-face, allowing us to compare identically worded items we placed on both surveys. We find that phone respondents exhibited more socially desirable responding and were more likely to choose negative endpoints on scalar items. This suggests that survey researchers and practitioners should carefully assess the tradeoffs in shifting modes or employing mixed modes.

Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol

JMIR research protocols, 2017

Mobile phone ownership and access have increased rapidly across low- and middle-income countries (LMICs) within the last decade. Concomitantly, LMICs are experiencing demographic and epidemiologic transitions, where non-communicable diseases (NCDs) are increasingly becoming leading causes of morbidity and mortality. Mobile phone surveys could aid data collection for prevention and control of these NCDs but limited evidence of their feasibility exists. The objective of this paper is to describe a series of sub-studies aimed at optimizing the delivery of interactive voice response (IVR) and computer-assisted telephone interviews (CATI) for NCD risk factor data collection in LMICs. These sub-studies are designed to assess the effect of factors such as airtime incentive timing, amount, and structure, survey introduction characteristics, different sampling frames, and survey modality on key survey metrics, such as survey response, completion, and attrition rates. In a series of sub-studi...

SURVEY RESEARCH IN THE SOCIAL SCIENCES

Global Scientific Journal, 2022

This article focuses on the question of survey research in the social sciences. It is a unique method of data gathering in the social sciences, which involves the use of questionnaire and interview techniques. The questionnaire technique involve the use of instruments ranging from the loosely structured, highly structured, open-ended to closed-ended questionnaires that aim at collection of quantitative data. While interview technique includes the use of personal interviews, ranging from schedule-structured, informal, unstructured, to telephone interviews. This paper shows that that survey research is the main method for a social scientist with numerous strengths despite some weaknesses. In conclusion, the paper argues that survey research method can be adapted to the emerging advancements in science, information communication and technology.

Do Mobile Phone Surveys Work in Poor Countries?

Center for Global Development Working Paper Series

In this project, we analyzed whether mobile phone-based surveys are a feasible and cost-effective approach for gathering statistically representative information in four low-income countries (Afghanistan, Ethiopia, Mozambique, and Zimbabwe). Specifically, we focused on three primary research questions. First, can the mobile phone survey platform reach a nationally representative sample? Second, to what extent does linguistic fractionalization affect the ability to produce a representative sample? Third, how effectively does monetary compensation impact survey completion patterns? We find that samples from countries with higher mobile penetration rates more closely resembled the actual population. After weighting on demographic variables, sample imprecision was a challenge in the two lower feasibility countries (Ethiopia and Mozambique) with a sampling error of +/- 5 to 7 percent, while Zimbabwe’s estimates were more precise (sampling error of +/- 2.8 percent). Surveys performed reasonably well in reaching poor demographics, especially in Afghanistan and Zimbabwe. Rural women were consistently under-represented in the country samples, especially in Afghanistan and Ethiopia. Countries’ linguistic fractionalization may influence the ability to obtain nationally representative samples, although a material effect was difficult to discern through penetration rates and market composition. Although the experimentation design of the incentive compensation plan was compromised in Ethiopia and Zimbabwe, it seems that offering compensation for survey completion mitigated attrition rates in several of the pilot countries while not reducing overall costs. These effects varied across countries and cultural settings.