Identifies and discusses a number of methodological issues which can arise in the design and administration of instruments for the purpose of large‐scale survey research in manufacturing strategy and practice. Describes two such surveys. Both were undertaken by researchers at IMD, Lausanne, Switzerland. The first was a study of manufacturing strategies in western Europe, while the second was a study of manufacturing practice and performance in Switzerland. A comparison of the approaches taken in the design and administration of the two instruments allows for the identification of a number of methodological issues which are discussed in greater detail. These include sample (sector) selection, respondent preparation, quality assurance for data input, the elimination of bias and gathering of complementary data.
The article aims at mapping the history of the Czech version of the Household Budget Survey (HBS), i.e. Statistika rodinných účtů (SRÚ), and on the historical changes in its methodology. Statistika rodinných účtů is a survey focused mainly on private household expenditure in all the regions of the Czech Republic. The first official SRÚ survey was conducted in 1920 by the Statistical office of the former Czechoslovak Republic. This article offers a brief overview of the more than 100 years of the survey, which have been shaped significantly throughout the different eras it had underwent, both by the socio-political contexts and by the gradual technological progress. Last but not least, methodological changes which occurred in 2017 are discussed, as well as some important aspects of the present-day form of the survey.
This article presents an overview of the history of survey methodology and survey statistics based on an analysis of BMS issues since the start in October 1983. The author, member of the BMS Scientific Committee, discusses the changes in modes of data collection, the changing emphasis on different error sources in surveys, and trends in analysis and analysis tools. She reflects on recent developments in mixed-mode and Internet surveys, and ends with some thoughts on the future.
The article discusses the issues and problems that need to be addressed in the development of a comprehensive survey approach to explore same sex domestic violence in relationships involving individuals identifying as lesbian, gay male, bisexual, transgender or queer (LGBT&Q). It draws on the most detailed study to date in the UK comparing love and domestic violence in same-sex and heterosexual relationships. The survey methodology built on previous research, attempting in particular to overcome the limitations of earlier studies; and to produce data that could be compared with existing data on domestic violence in both heterosexual and LGBT&Q communities. The result was a questionnaire that reflected a wide range of abusive behaviours; examined impact of the violence alongside a quantification of particular acts; took into account experience of violence from a partner, as well as use of violence against that partner; and incorporated issues related to equality/inequality and dependency. The questionnaire was successfully distributed across the UK to provide a national 'same sex community' survey of problems in relationships and domestic violence.
Background: This academic paper examines novel ideas in survey methodology in response to the changing data gathering environment and the difficulties presented by conventional survey methodologies. Survey methods must be reevaluated in order to assure the relevance and quality of the data gathered, given the rapid advancements in technology and communication trends. Objective: This study's main goal is to identify and evaluate current developments in survey methodology, looking at how well they work to overcome the drawbacks of traditional survey approaches. Offering insights into possible improvements in respondent engagement, data quality, and overall survey efficiency by critically analyzing new approaches. Methods: A thorough assessment of the literature was done in order to pinpoint and evaluate the most current advancements in survey methodology. The chosen approaches were assessed according to how well they performed in a range of study fields, how they affected the quality of the data, and how well they catered to different populations. To support the conclusions, case studies and actual data were also looked at. Results: The report highlights a number of significant advances, including gamification, mobile apps, web-based surveys, and adaptable survey designs. In terms of higher data accuracy, less non-response bias, and improved respondent engagement, these approaches show encouraging outcomes. Conclusion: Survey methodological innovations are essential to addressing the obstacles presented by changing communication environments. The study's conclusions highlight the possibility of new approaches to improve survey data collection's effectiveness and dependability, which will promote research procedures across a range of disciplines. The use of these advances is recommended for researchers and practitioners to guarantee the ongoing relevance and efficacy of survey research in the digital era.
This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.--
