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In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
As there is no current book that deals extensively or exclusively with survey research in corporate finance Survey Research in Corporate Finance is the only one of its kind. For even while there are numerous books on survey methodology, none focus on this methodology as specifically applied to corporate finance. In the book, Baker, Singleton, and Velt do nothing less than provide an overview of survey methodology useful to financial researchers, synthesize the major streams or clusters of survey research in corporate finance, and offer a valuable resource and guide for those interested in conducting survey research in finance. Thus this volume will be an essential reference for practitioners, academics, and graduate students - who all must know the methodology of finance survey research. In addition to methodology, the book identifies areas that will be best served by survey-based research. Researchers will have a wealth of information regarding past surveys and will be aware of suitable candidates for future surveys. Several chapters are devoted to synthesizing survey results on major issues in finance. These will help decision makers in finance and in non-finance firms to acquire knowledge learned from years of communications between academics and practitioners.
Shows how to manage survey data and become better users of statistical and qualitative survey information. This book explains the basic vocabulary of data management and statistics, and demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data.
For reseach in all subjects and among different philisopical paradigms, research methodologies form one of the key issues to rely on. This volume brings a series of papers together, which present different research methodologies as applied in supply chain management. This comprises review oriented papers that look at what kind of methodologies have been applied, as well as methodological papers discussing new developments needed to successfully conduct research in supply chain management. The third group is made up of applications of the respective methodologies, which serve as examples on how the different methodological approaches can be applied. All papers have undergone a review process to ensure their quality. Therefore, we hope that this book will serve as a valid source for current and future researchers in the field. While the workshop on “Research Methodologies in Supply Chain Management” took place at the Supply Chain Management Center, Carl von Ossietzky Univ- sity in Oldenburg, Germany, it is based on a collaboration with the Supply Chain Management Group of the Department of Operations Management at the Cop- hagen Business School and the Department of Production Management at the Vienna University of Economics and Business Administration. We would like to thank all those who contributed to the workshop and this book.
To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.
Focusing on the use of technology in survey research, this book integrates both theory and application and covers important elements of survey research including survey design, implementation and continuing data management.
A Companion to Survey Research provides a critical overview and guide to survey methods. Rather than a set of formulas, survey design is understood as a craft where the translation of research questions into a questionnaire, sample design and data collection strategy is based on understanding how respondents answer questions and their willingness to complete a survey. Following an account of the invention of survey research in the 1930s, a synthesis of research on question design is followed by a practical guide to designing a questionnaire. Chapters on sampling, which deal with the statistical basis of survey sampling and practical design issues, are followed by extensive discussions of survey pretesting and data collection. The book concludes with a discussion of the extent and implications of falling response rates. This book is written for researchers, analysts and policy makers who want to understand the survey data they use, for researchers and students who want to conduct a survey, and for anyone who wants to understand contemporary survey research.
The aim of this book is to illustrate the ways in which surveys can be used to improve the quality of decision-making in business and government. It is about the use of surveys rather than how they are conducted, and provides examples of the ways in which research can be used.
In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint.
Handbook of Survey Research provides an introduction to the theory and practice of sample survey research. It addresses both the student who desires to master these topics and the practicing survey researcher who needs a source that codifies, rationalizes, and presents existing theory and practice. The handbook can be organized into three major parts. Part 1 sets forth the basic theoretical issues involved in sampling, measurement, and management of survey organizations. Part 2 deals mainly with ""hands-on,"" how-to-do-it issues: how to draw theoretically acceptable samples, how to write questionnaires, how to combine responses into appropriate scales and indices, how to avoid response effects and measurement errors, how actually to go about gathering survey data, how to avoid missing data (and what to do when you cannot), and other topics of a similar nature. Part 3 considers the analysis of survey data, with separate chapters for each of the three major multivariate analysis modes and one chapter on the uses of surveys in monitoring overtime trends. This handbook will be valuable both to advanced students and to practicing survey researchers seeking a detailed guide to the major issues in the design and analysis of sample surveys and to current state of the art practices in sample surveys.