Suchergebnisse

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 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.

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.--

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

Front Matter -- Copyright -- Contents -- PREFACE -- CHAPTER 1 THE SEMINAR -- CHAPTER 2 AFTER THE SEMINAR -- APPENDIX A BACKGROUND PAPERS -- APPENDIX B DESIGNING AND BUILDING THE BRIDGE -- APPENDIX C BACKGROUND MATERIALS FOR THE SEMINAR -- APPENDIX D BIOGRAPHICAL SKETCHES OF PARTICIPANTS -- INDEX.

This volume brings together a selection of papers presented at the 2017 European Establishment Statistics Workshop, which have been revised and expanded here. Several contributions will serve to deepen the reader's understanding of the unit problem in business statistics, while further chapters showcase recent advances in business survey methodology and practice in areas such as linking and data integration, sampling and estimation, data collection from businesses, measurement and mitigation of response burden in business surveys, among others.Written by leading experts in business statistics, the volume offers detailed and up-to-date findings to survey methodologists and practitioners working with business statistics. It will also be useful for readers in official statistics, academia and the private sector.

Over the last decade the survey environment has been rapidly changing, creating new opportunities and new challenges for survey methodologists. These include: relatively low response among all contact modes and designs; the rapid replacement of landline telephones for mobile and smart phones; the integration of new and different types of data for sampling and new sampling methods; the use of different survey interview modes; how to study behaviors and opinions about sensitive topics; and the development of survey designs for experts and opinion leaders. All have implications for data quality and for our ability to consistently and reliably answer substantive and theoretical questions about politics and society.