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This book describes why conventional methods fall short to solve the comparability problem and introduces three successive innovations to overcome these shortcomings. Comparability of results from different surveys using different items for the same topic is greatly hampered by the differences in response scales used. This reduces our accumulation of knowledge and has challenged researchers in the field of survey research for long to develop appropriate methods to transform ratings on different scales to attain comparable results and to correct for effects of changes in measurements and other influencing factors. The three innovations described in this volume are applied to data on happiness and life satisfaction, show better comparability of the survey results concerning the perceptions and opinions of people over time and across nations and at an increased opportunity for meta-analysis on these results.
This volume analyses the quantification of the effect of factors measuring subjective well-being, and in particular on the metrics applied. With happiness studies flourishing over the last decades, both in number of publications as well as in their exposure, researchers working in this field are aware of potential weaknesses and pitfalls of these metrics. Contributors to this volume reflect on different factors influencing quantification, such as scale size, wording, language, biases, and cultural comparability in order to raise awareness on the tools and on their conditions of use.
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.
Educational practices have rapidly changed in the last few decades, especially in how exchanges of information and learning are delivered and processed. Yet, while the field of international comparative studies has grown, there has not been an extensive study on the relationship between educational practices, students, and how practitioners are prepared and trained. This handbook explores international educational practices and behaviours through new research and a review of existing research, with chapters spread across six parts: Part I: Introduction to Research Practices in Comparative Studies of Education Part II: Research Methods Part III: Policy Transfer Research through International Comparisons Part IV: Use of Student time in Formal and Informal Settings Part V: School Practices from Early Childhood through Secondary School Part VI: Conclusion - Lessons from Large Scale Studies
This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics. This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.
"The approach is well executed. The problems encountered by [the characters] represent real-life issues than administrators are faced with and the applications needed to address them." —Lee W. Payne, Stephen F. Austin State University Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using "real actors," facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.
This book offers a systematic analysis of a wide range of questions used in censuses, national surveys and international surveys to measure language proficiency. It addresses the urgent need in language related survey research for a comprehensive examination of the large existing body of survey data in order to provide a fuller understanding of the extent to which survey results are shaped by the way language proficiency questions are worded. While census and survey language proficiency data are extensively used in a wide range of research areas, as well as in forming, implementing and monitoring government policies, there are as yet no universally accepted survey measures of language proficiency. This book will therefore provide a valuable resource for students and scholars working in sociological areas that use census or survey language data, such as sociology of language, sociology of education, politics, racial and ethnic studies, and cultural studies; as well as for policy analysts.
Diversity - social, cultural, linguistic and ethnic - poses a challenge to all educational systems. This book aims to address these issues by examining current policy and its implications, pedagogical practice and responses to the challenge of diversity that go beyond the language of schooling. This volume will appeal to anyone involved in the educational integration of immigrant children and adolescents.
The three-volume set LNCS 8009-8011 constitutes the refereed proceedings of the 7th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2013, held as part of the 15th International Conference on Human-Computer Interaction, HCII 2013, held in Las Vegas, USA in July 2013, jointly with 12 other thematically similar conferences. The total of 1666 papers and 303 posters presented at the HCII 2013 conferences was carefully reviewed and selected from 5210 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 230 contributions included in the UAHCI proceedings were carefully reviewed and selected for inclusion in this three-volume set. The 78 papers included in this volume are organized in the following topical sections: age-related issues, human vision in universal access, emotions and persuasion in universal access, design for autistic spectrum disorders, cognitive issues for universal access, universal access to the Web and social communities.
"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years... I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University) What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics. The third edition, thoroughly revised to incorporate recent research and applications, includes a new chapter on nonprobability samples—when to use them and how to evaluate their quality. More than 200 new examples and exercises have been added to the already extensive sets in the second edition. SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software. SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press) R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)