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Methods and Data Analysis for Cross-Cultural Research

Heavy migration patterns, the globalization of markets, and increased cross-cultural communications have made cross-cultural research a necessity in the behavioral and social sciences. This type of research is a natural and inevitable extension for researchers whose earlier focus was on intracultural studies. In Methods and Data Analysis for Cross-Cultural Research, authors Fons Van de Vijver and Kwok Leung have developed a long-awaited guide for graduate students and professionals that presents cross-cultural methodology in a practical light. Covering all the major issues in the field, this volume's presentation of theory serves as a jumping board for the practical discussion of methods, design, and analysis that follows. The central focus is primarily on the design and analysis of quasi-experiments, which is the dominant framework for cross-cultural research. This volume presents an up-to-date overview of the most important tools of cross-cultural research and illustrates the most meaningful techniques in feature boxes, complete with sample data. Professionals and students in the field of cross-cultural research will undoubtedly recognize that this is the most up-to-date and comprehensive practical guide on the market. Students and academics in the fields of clinical/counseling psychology, social work, research methods, sociology, ethnic studies, and social psychology will be grateful for this handy reference when conducting cross-cultural research.

This volume presents an up-to-date overview of the most important tools of cross-cultural research and illustrates the most meaningful techniques in feature boxes, complete with sample data.

Adventures in Social Research

Data Analysis Using SPSS 14.0 and 15.0 for Windows

Designed for both introductory and advanced research methods or statistics courses in sociology, political science, social work, criminal justice, and public health departments, Adventures in Social Research is an ideal computer skills and data analysis textbook for any discipline that uses survey methods. New to the Sixth Edition: - Provides a shorter, more condensed version than the Fifth Edition - Illustrates uses of SPSS 14.0 and new GSS data sets - Includes a CD-ROM that contains data sets, Designing Own Survey and comprehensive appendices that include questionnaires, research reports, proposals, survey tips, commands, readings and more - Offers a Web page that features SPSS version update changes for students and instructors

In this thoroughly revised edition, the authors stress active and collaborative learning as students engage in a series of practical investigative exercises.

Understanding Clinical Data Analysis

Learning Statistical Principles from Published Clinical Research

This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings. In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.

The book will cover the WHY-SOs.

Research Methodology

A Toolkit of Sampling and Data Analysis Techniques for Quantitative Research

Document from the year 2012 in the subject Statistics, grade: -, Monash University Malaysia, Sunway Campus, language: English, comment: Please reference this publication as: Lim, W.M. and Ting, D.H. (2012). Research methodology: a toolkit of sampling and data analysis techniques for quantitative research. GRIN Publishing: Munich, Germany., abstract: Selecting appropriate sampling methods and data analysis techniques for a research study is generally accepted by all researchers in the academia as an imperative component of the research methodology. However, researchers may be encountered with dilemmas when it comes to choosing the most suitable combination of methods to obtain a randomize sample and the best data analysis techniques which are able to project the true state of affairs of the researched phenomenon. This book features a wide range of sampling and data analysis techniques which have been proven to be effectively useful in guiding researchers in the adoption of the most appropriate sampling and data analysis techniques which are in line to accomplish the established research objectives.

This book features a wide range of sampling and data analysis techniques which have been proven to be effectively useful in guiding researchers in the adoption of the most appropriate sampling and data analysis techniques which are in line ...

Statistics

A Tool for Social Research and Data Analysis

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research. Everyday examples illustrate that statistics are not just abstract mathematical constructs, but they have practical value in government, education, business, media, politics, sports and more. Research examples in every chapter include the same "real data" used by professionals across various fields to make evidence-based decisions. Also available: MindTap digital learning solution.

The text breaks down even the most complex material to help you master key concepts and develop the skills you need to succeed as a professional in a social science field -- or simply to become a statistically literate consumer of social ...

Statistics and Data Analysis for Nursing Research

The second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.

NEW TO THIS EDITION Emphasis on evidence-based practice - SPSS Version 16.0 was used to generate output for the book - Missing Values are demystified - Factor Analysis content is expanded - Power Analysis methods are explained Additional ...

Advanced Statistics in Research

Reading, Understanding, and Writing Up Data Analysis Results

"Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results" is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles. "wwwStatsInResearch.com, " is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors. "Advanced Statistics in Research" does not show how to "perform" statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more. "Advanced Statistics in Research" assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples. "Need help writing up your results?" Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more). "Advanced Statistics in Research" is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.

Advanced Statistics in Research: Reading, Understanding and Writing Up Data Anaylsis Results; makes multivariate statistics accessible to all readers--including those with little training in research or data analysis; Advanced Statistics in ...

Computer Supported Qualitative Research

New Trends in Qualitative Research (WCQR2021)

This book includes selecting the articles accepted for presentation and discussion at WCQR2021, held on January 20th to 22nd, 2021 (Virtual Conference). The World Conference on Qualitative Research (WCQR) is an annual event that aims to bring together researchers, academics and professionals, promoting the sharing and discussion of knowledge, new perspectives, experiences and innovations on Qualitative Research. WCQR2021 featured four main application fields (Education, Health, Social Sciences, and Engineering/Technology) and seven main subjects: Rationale and Paradigms of Qualitative Research; Systematization of Approaches with Qualitative Studies; Qualitative and Mixed Methods Research; Data Analysis Types; Innovative Processes of Qualitative Data Analysis; Qualitative Research in Web Context; Qualitative Analysis with Software Support. The book is a valuable resource for everyone interested in qualitative research, emphasizing Computer-Assisted Qualitative Data Analysis Software (CAQDAS).

This book includes selecting the articles accepted for presentation and discussion at WCQR2021, held on January 20th to 22nd, 2021 (Virtual Conference).

Qualitative Research Using R: A Systematic Approach

This book highlights the rise of the Strauss-Corbin-Gioia (SCG) methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the SCG methodology can be operationalized and enhanced using RQDA. It also provides a technical and methodological review of RQDA as a new CAQDAS tool. Covering various techniques, it offers methodological guidance on how to connect CAQDAS tool with accepted paradigms, particularly the SCG methodology, to produce high- quality qualitative research and includes step-by-step instructions on using RQDA under the SCG qualitative research paradigm. Lastly, it comprehensively discusses methodological issues in qualitative research. This book is useful for qualitative scholars, PhD/postdoctoral students and students taking qualitative methodology courses in the broader social sciences, and those who are familiar with programming languages and wish to cross over to qualitative data analysis. "At long last! We now have a qualitative data-analysis approach that enhances the use of a systematic methodology for conducting qualitative research. Chandra and Shang should be applauded for making our research lives a lot easier. And to top it all off, it’s free." Dennis Gioia, Robert & Judith Auritt Klein Professor of Management, Smeal College of Business at Penn State University, USA “While we have a growing library of books on qualitative data analysis, this new volume provides a much needed new perspective. By combining a sophisticated understanding of qualitative research with an impressive command of R, the authors provide an important new toolkit for qualitative researchers that will improve the depth and rigor of their data analysis. And given that R is open source and freely available, their approach solves the all too common problem of access that arises from the prohibitive cost of more traditional qualitative data analysis software. Students and seasoned researchers alike should take note!” Nelson Phillips, Abu Dhabi Chamber Chair in Strategy and Innovation, Imperial College Business School, United Kingdom "This helpful book does what it sets out to do: offers a guide for systematizing and building a trail of evidence by integrating RQDA with the Gioia approach to analyzing inductive data. The authors provide easy-to-follow yet detailed instructions underpinned by sound logic, explanations and examples. The book makes me want to go back to my old data and start over!" Nicole Coviello, Lazaridis Research Professor, Wilfrid Laurier University, Canada "Qualitative Research Using R: A Systematic Approach guides aspiring researchers through the process of conducting a qualitative study with the assistance of the R programming language. It is the only textbook that offers “click‐by-click” instruction in how to use RQDA software to carry out analysis. This book will undoubtedly serve as a useful resource for those interested in learning more about R as applied to qualitative or mixed methods data analysis. Helpful as well is the six‐step procedure for carrying out a grounded‐theory type study (the “Gioia approach”) with the support of RQDA software, making it a comprehensive resource for those interested in innovative qualitative methods and uses of CAQDAS tools." Trena M. Paulus, Professor of Education, University of Georgia, USA

This book highlights the rise of the Strauss-Corbin-Gioia (SCG) methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the SCG methodology can be operationalized and enhanced using RQDA.

Data Analysis, Interpretation, and Theory in Literacy Studies Research

A How-To Guide

This research guide addresses the difficulties novice and early career researchers often have with understanding how theory, data analysis and interpretation of findings "hang together" in a well-designed and theorized qualitative research investigation, as well as learning how to draw on such understanding to conduct rigorous data analysis and interpretation of their analytic results. Books that describe data analysis approaches and methods often fail to address the question of how to decide which ones are most appropriate for a particular kind of study, and why they are the best options. This book seeks to clarify these issues in a distinctive way. Chapter authors draw on a successful study they have undertaken and spell out their "problem area," research questions, and theoretical framing, carefully explaining their choices and decisions. They then show in detail how they analyzed their data, and why they took this approach. Finally, they demonstrate how they "translated" or interpreted the results of their analysis, to make them meaningful in research terms. Approaches include interactional sociolinguistics, microethnographic discourse analysis, multimodal analysis, iterative coding, conversation analysis, and multimediated discourse analysis, among others. This book will appeal to beginning researchers and to literacy researchers responsible for teaching qualitative literacy studies research design at undergraduate and graduate levels. Perfect for courses such as: Literacy Research Seminar | Introduction to Qualitative Research | Advanced Research Methods | Studying New Literacies and Media | Research Perspectives in Literacy | Discourse Analysis | Advanced Qualitative Data Analysis | Sociolinguistic Analysis | Classroom Language Research

This book will appeal to beginning researchers and to literacy researchers responsible for teaching qualitative literacy studies research design at undergraduate and graduate levels.