ADVANCES IN BUSINESS STATISTICS, METHODS AND DATA COLLECTION Advances in Business Statistics, Methods and Data Collection delivers insights into the latest state of play in producing establishment statistics, obtained from businesses, farms and institutions. Presenting materials and reflecting discussions from the 6th International Conference on Establishment Statistics (ICES-VI), this edited volume provides a broad overview of methodology underlying current establishment statistics from every aspect of the production life cycle while spotlighting innovative and impactful advancements in the development, conduct, and evaluation of modern establishment statistics programs. Highlights include: Practical discussions on agile, timely, and accurate measurement of rapidly evolving economic phenomena such as globalization, new computer technologies, and the informal sector. Comprehensive explorations of administrative and new data sources and technologies, covering big (organic) data sources and methods for data integration, linking, machine learning and visualization. Detailed compilations of statistical programs’ responses to wide-ranging data collection and production challenges, among others caused by the Covid-19 pandemic. In-depth examinations of business survey questionnaire design, computerization, pretesting methods, experimentation, and paradata. Methodical presentations of conventional and emerging procedures in survey statistics techniques for establishment statistics, encompassing probability sampling designs and sample coordination, non-probability sampling, missing data treatments, small area estimation and Bayesian methods. Providing a broad overview of most up-to-date science, this book challenges the status quo and prepares researchers for current and future challenges in establishment statistics and methods. Perfect for survey researchers, government statisticians, National Bank employees, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the toolkit of researchers working –with data– in industries across a variety of fields.

Social scientists have long relied on a wide range of tools to collect information about the social world, but as individual fields have become more specialised, researchers are trained to use a narrow range of the possible data collection methods. This book, first published in 2006, draws on a broad range of available social data collection methods to formulate a set of data collection approaches. The approaches described here are ideal for social science researchers who plan to collect new data about people, organisations, or social processes. Axinn and Pearce present methods designed to create a comprehensive empirical description of the subject being studied, with an emphasis on accumulating the information needed to understand what causes what with a minimum of error. In addition to providing methodological motivation and underlying principles, the book is filled with detailed instructions and concrete examples for those who wish to apply the methods to their research.

'The book is very simplistically written and, I consider that undergraduate students would find maximum chapters easy to comprehend and apply. I strongly recommend Qualitative Methodologies and Data Collection Methods: Toward Increased Rigour in Management Research for general and qualitative methodology courses and for practitioners and researchers searching for direction in planning or gaining a superior comprehension of qualitative research. It is an excellent book that gives brief and accommodating portrayals of major ascribes of qualitative research and priceless examples for planning and conducting research studies and various data collection methods in qualitative exploration.'Technological Forecasting & Social Change Globalisation opens new frontiers of research that require advanced research methods. While quantitative methods are ideal in some situations, qualitative methods are more appropriate for responding to 'how' questions in new contexts. They aim to understand and provide a holistic picture via interaction — a unique advantage over quantitative methods. This textbook for graduate students introduces qualitative research and covers major qualitative methodologies and data collection methods.The choice of methodologies in this book is based on their actual applicability in management research. This approach provides a hands-on emphasis while maintaining both scientific rigour and rooting, and a high practicality level with respect to problem analysis, the collection of data, and the way this data should be analysed.Students and researchers will benefit from features including explanations of the advantages and disadvantages of methodological choices, and elaborated examples of good articles. The reader will acquire an overview of current methodologies, which will facilitate the choice process with respect to research approaches, and is also encouraged to bring personal research skills to a higher level.

The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including: * interviews and focus groups * observations * stimulated recall and think aloud protocols * data elicitation tasks * corpus methods * questionnaires * validated tests and measures Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and experienced applied linguists tackling data collection techniques for the first time.