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Author: Janet A. Harkness Publisher: John Wiley & Sons ISBN: 0470609915 Category : Mathematics Languages : en Pages : 620
Book Description
A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of study. Responding to increasing cultural diversity and rapid changes in how research is conducted, Survey Methods in Multinational, Multiregional, and Multicultural Contexts addresses the need for refined tools and improved procedures in cross-cultural and cross-national studies worldwide. Based on research submitted to the International Conference on Multinational, Multicultural, and Multiregional Survey Methods (3MC), this book identifies important changes in comparative methodology approaches, outlines new findings, and provides insight into future developments in the field. Some of the world's leading survey researchers gather in this volume to address the need for a standard framework that promotes quality assurance and quality control in survey research, and its impact on various stages of the survey life cycle, including study design and organization, cross-national sampling, testing and pretesting, data collection, and input and output variable harmonization. Self-contained chapters feature coverage of various topics, such as: Question and questionnaire design, from both global and study-specific perspectives The construction and evaluation of survey translations and instrument adaptations The effects of cultural difference on the perception of question and response categories Non-response issues Analysis in comparative contexts, featuring discussion of polytomous item response theory, categorization problems, and Multi-Trait-Multi-Methods (MTMM) The significance of evolving methodologies for current international survey programs, including the European Social Survey, the International Social Survey Programme, and the Gallup World Poll Survey Methods in Multinational, Multiregional, and Multicultural Contexts is a valuable supplement for courses on comparative survey methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for professionals who design, implement, and analyze comparative research in the areas of business, public health, and the social and behavioral sciences.
Author: Janet A. Harkness Publisher: John Wiley & Sons ISBN: 0470609915 Category : Mathematics Languages : en Pages : 620
Book Description
A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of study. Responding to increasing cultural diversity and rapid changes in how research is conducted, Survey Methods in Multinational, Multiregional, and Multicultural Contexts addresses the need for refined tools and improved procedures in cross-cultural and cross-national studies worldwide. Based on research submitted to the International Conference on Multinational, Multicultural, and Multiregional Survey Methods (3MC), this book identifies important changes in comparative methodology approaches, outlines new findings, and provides insight into future developments in the field. Some of the world's leading survey researchers gather in this volume to address the need for a standard framework that promotes quality assurance and quality control in survey research, and its impact on various stages of the survey life cycle, including study design and organization, cross-national sampling, testing and pretesting, data collection, and input and output variable harmonization. Self-contained chapters feature coverage of various topics, such as: Question and questionnaire design, from both global and study-specific perspectives The construction and evaluation of survey translations and instrument adaptations The effects of cultural difference on the perception of question and response categories Non-response issues Analysis in comparative contexts, featuring discussion of polytomous item response theory, categorization problems, and Multi-Trait-Multi-Methods (MTMM) The significance of evolving methodologies for current international survey programs, including the European Social Survey, the International Social Survey Programme, and the Gallup World Poll Survey Methods in Multinational, Multiregional, and Multicultural Contexts is a valuable supplement for courses on comparative survey methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for professionals who design, implement, and analyze comparative research in the areas of business, public health, and the social and behavioral sciences.
Author: Timothy P. Johnson Publisher: John Wiley & Sons ISBN: 1118885015 Category : Social Science Languages : en Pages : 907
Book Description
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Author: David R. Heise Publisher: John Wiley & Sons ISBN: 0470479078 Category : Mathematics Languages : en Pages : 260
Book Description
Surveying Cultures uniquely employs techniques rooted in survey methodology to discover cultural patterns in social science research. Examining both classical and emerging methods that are used to survey and assess differing norms among populations, the book successfully breaks new ground in the field, introducing a theory of measurement for ethnographic studies that employs the consensus-as-culture model. The book begins with a basic overview of cross-cultural measurement of sentiments and presents innovative and sophisticated analyses of measurement issues and of homogeneity among respondents. Subsequent chapters explore topics that are at the core of successful data collection and analysis in culture studies, including: The role of bipolar scales and Internet data collection in measuring sentiments Key methodological variables that determine the quality of quantitative data, including measurement errors, validity, and reliability New approaches to reliability and several new methods of assessing a respondent's degree of inculcation into group culture Sampling, coverage, nonresponse, and measurement errors, with an in-depth discussion of their occurrence in culture surveys, their impact assessments, and how current measurement techniques are constructed to help prevent these kinds of errors Common problems often encountered in the acquisition and communication of data, including identifying error variances, interpreting gender differences in responses, and defining the difference between cultures and subcultures Throughout the book, each topic is accompanied by a review of related methodological literature. For many of the presented concepts, the author includes a formal analysis of the related issues in measuring cultural norms and reports on analyses. Each chapter concludes with an organized list of major findings as well as an insightful outline of specific recommendations regarding practical problems in culture studies. Surveying Cultures serves as a valuable supplemental book to courses on survey and research methods at the upper-undergraduate and graduate levels. It is also an excellent reference for researchers in the fields of sociology, anthropology, psychology, and political science.
Author: Christof Wolf Publisher: SAGE ISBN: 1473959055 Category : Reference Languages : en Pages : 741
Book Description
With a particular focus on the complexities of cross-national, comparative survey research, explored by a team of international experts at local and national levels, this exciting new handbook provides readers with a cutting-edge resource.
Author: Yulia Tolstikov-Mast Publisher: Routledge ISBN: 1000480569 Category : Psychology Languages : en Pages : 598
Book Description
An invaluable contribution to the area of leadership studies, the Handbook of International and Cross-Cultural Leadership Research Processes: Perspectives, Practice, Instruction brings together renowned authors with diverse cultural, academic, and practitioner backgrounds to provide a comprehensive overview and analysis of all stages of the research process. The handbook centers around authors’ international research reflections and experiences, with chapters that reflect and analyze various research experiences in order to help readers learn about the integrity of each stage of the international leadership research process with examples and discussions. Part I introduces philosophical traditions of the leadership field and discusses how established leadership and followership theories and approaches sometimes fail to capture leadership realities of different cultures and societies. Part II focuses on methodological challenges and opportunities. Scholars share insights on their research practices in different stages of international and cross-cultural studies. Part III is forward-looking in preparing readers to respond to complex realities of the leadership field: teaching, learning, publishing, and applying international and cross-cultural leadership research standards with integrity. The unifying thread amongst all the chapters is a shared intent to build knowledge of diverse and evolving leadership practices and phenomena across cultures and societies. The handbook is an excellent resource for a broad audience including scholars across disciplines and fields, such as psychology, management, history, cognitive science, economics, anthropology, sociology, and medicine, as well as educators, consultants, and graduate and doctoral students who are interested in understanding authentic leadership practices outside of the traditional Western paradigm.
Author: Asaph Young Chun Publisher: John Wiley & Sons ISBN: 1119272041 Category : Mathematics Languages : en Pages : 384
Book Description
ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.
Author: Irina Tomescu-Dubrow Publisher: John Wiley & Sons ISBN: 1119712181 Category : Mathematics Languages : en Pages : 420
Book Description
Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.
Author: Paul P. Biemer Publisher: John Wiley & Sons ISBN: 1119041686 Category : Social Science Languages : en Pages : 624
Book Description
Featuring a timely presentation of total survey error (TSE), this edited volume introduces valuable tools for understanding and improving survey data quality in the context of evolving large-scale data sets This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and messier data sets. This perspective challenges survey organizations to find ways to collect and process data more efficiently without sacrificing quality. The volume consists of the most up-to-date research and reporting from over 70 contributors representing the best academics and researchers from a range of fields. The chapters are broken out into five main sections: The Concept of TSE and the TSE Paradigm, Implications for Survey Design, Data Collection and Data Processing Applications, Evaluation and Improvement, and Estimation and Analysis. Each chapter introduces and examines multiple error sources, such as sampling error, measurement error, and nonresponse error, which often offer the greatest risks to data quality, while also encouraging readers not to lose sight of the less commonly studied error sources, such as coverage error, processing error, and specification error. The book also notes the relationships between errors and the ways in which efforts to reduce one type can increase another, resulting in an estimate with larger total error. This book: • Features various error sources, and the complex relationships between them, in 25 high-quality chapters on the most up-to-date research in the field of TSE • Provides comprehensive reviews of the literature on error sources as well as data collection approaches and estimation methods to reduce their effects • Presents examples of recent international events that demonstrate the effects of data error, the importance of survey data quality, and the real-world issues that arise from these errors • Spans the four pillars of the total survey error paradigm (design, data collection, evaluation and analysis) to address key data quality issues in official statistics and survey research Total Survey Error in Practice is a reference for survey researchers and data scientists in research areas that include social science, public opinion, public policy, and business. It can also be used as a textbook or supplementary material for a graduate-level course in survey research methods.
Author: Janet A. Harkness
Author: Janet A. Harkness
Author: Michael Braun
Author: Timothy P. Johnson
Author: Janet A. Harkness
Author: David R. Heise
Author: Christof Wolf
Author: Yulia Tolstikov-Mast
Author: Asaph Young Chun
Author: Irina Tomescu-Dubrow
Author: Paul P. Biemer