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Author: Arlene Fink
Publisher: SAGE
ISBN: 9780803973862
Category : Medical
Languages : en
Pages : 116
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Book Description
Clear and concise, How to Analyze Survey Data shows you how to do just that: analyse survey data. It shows what statistics can do for surveys, describes measurement scales in detail, and demonstrates how to choose a method to analyze your results.
Author: Arlene Fink
Publisher: SAGE
ISBN: 9780803973862
Category : Medical
Languages : en
Pages : 116
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Book Description
Clear and concise, How to Analyze Survey Data shows you how to do just that: analyse survey data. It shows what statistics can do for surveys, describes measurement scales in detail, and demonstrates how to choose a method to analyze your results.
Author: Arlene Fink
Publisher: SAGE
ISBN: 9780761925767
Category : Medical
Languages : en
Pages : 156
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Book Description
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.
Author: Thomas Lumley
Publisher: John Wiley & Sons
ISBN: 111821093X
Category : Mathematics
Languages : en
Pages : 329
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Book Description
A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.
Author: Bruno Falissard
Publisher: CRC Press
ISBN: 1439817677
Category : Mathematics
Languages : en
Pages : 264
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Book Description
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text.
Author: Saiyidi Mat Roni
Publisher: Springer Nature
ISBN: 9811601933
Category : Mathematics
Languages : en
Pages : 273
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Book Description
This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.
Author: Richard Valliant
Publisher:
ISBN: 9781597182607
Category : Population
Languages : en
Pages : 183
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Book Description
Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code.
Author: Peter M. Nardi
Publisher: Routledge
ISBN: 131726097X
Category : Social Science
Languages : en
Pages : 269
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Book Description
The significantly updated third edition of this short, practical book prepares students to write a questionnaire, generate a sample, conduct their own survey research, analyse data, and write up the results, while learning to read and interpret excerpts from published research. It combines statistics and survey research methods in a single book.
Author: Alison Mackey
Publisher: John Wiley & Sons
ISBN: 1444334271
Category : Language Arts & Disciplines
Languages : en
Pages : 338
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Book Description
Research Methods in Second Language Acquisition “With its cornucopia of information, both thorough and practical, this book is a must for our methodology shelves. Its study questions and project suggestions will be a boon for many research methods courses.” Robert M. DeKeysevr, University of Maryland “This guide to collecting, coding and analyzing second language acquisition data will be an essential reference for novice and experienced researchers alike.” Peter Robinson, Aoyama Gakuin University “Comprehensive and technically up-to-date, yet accessible and cogent! This remarkable textbook is sure to become a premier choice for the research training of many future SLA generations.” Lourdes Ortega, University of Hawaii “Alison Mackey and Susan Gass’ valuable new book offers hands-on methodological guidance from established experts on all kinds of second language research.” Michael H. Long, University of Maryland Research Methods in Second Language Acquisition: A Practical Guide is an informative guide to research design and methodology in this growing and vibrant field. Utilizing research methods and tools from varied fields of study including education, linguistics, psychology, and sociology, this collection offers complete coverage of the techniques of second language acquisition research. This guide covers a variety of topics, such as second language writing and reading, meta-analyses, research replication, qualitative data collection and analysis, and more. Each chapter of this volume offers background, step-by-step guidance, and relevant studies to create comprehensive coverage of each method. This carefully selected and edited volume will be a useful text for graduate students and scholars looking to keep pace with the latest research projects and methodologies in second language acquisition.
Author: Udo Kuckartz
Publisher: Springer
ISBN: 3030156710
Category : Social Science
Languages : en
Pages : 293
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Book Description
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.
Author: Elena Llaudet
Publisher: Princeton University Press
ISBN: 0691199434
Category : Computers
Languages : en
Pages : 256
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Book Description
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
