Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand andapply procedural steps in completing quantitative studies. Itexplains statistics while progressing through the steps of thehypothesis-testing process from hypothesis to results. The researchproblems used in the book reflect statistical applications relatedto interesting and important topics. In addition, the book providesa Research Analysis and Interpretation Guide to help studentsanalyze research articles. Designed as a hands-on resource, each chapter covers a singleresearch problem and offers directions for implementing theresearch method from start to finish. Readers will learn howto: Pinpoint research questions and hypotheses Identify, classify, and operationally define the studyvariables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students toimmediately, independently, and successfully apply quantitativemethods to their own research projects.
Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The multimedia courseware provides tutorial work on sampling, basic statistics, and techniques for seeking information from databases and other sources. The statistics modules can be used as either part of a detective games or directly in teaching and learning. Brief video lessons in SPSS, using real datasets, are also a feature of the CD-ROM. Why would you choose Introduction to Quantitative Research Methods - It is theoretical, providing a concise overview of issues of quantitative research. - It is practical, providing case studies that exemplify the different ways of research is conducted in the social sciences (ranging from psychology to sociology, politics and media). - It is educational, providing practical vignettes, and chapter highlights for revision. - It is integrative, producing a typology of different ways of conducting quantitative research methods. - It is international, providing case studies from a range of countries. - It is innovative, providing multimedia tutorials on generic research and statistical skills. - It is clear, concise and accessible.
This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computational formulas, it is accessible to a wide range of research users, Professional practitioners in areas such as education, business, social work, and psychology gain an understanding of research methods, enabling them to interpret advanced research in their fields. Features: -Accessibility to readers of any level, including those with no mathematics beyond elementary arithmetic and a limited background in research methods and statistics, as text discusses advanced methods with ease. -Three part organization-The Basics, Advanced Methods, and Specialized Applications-provides instructors the flexibility to choose among advanced techniques and specialized applications. -Real data is used to illustrate and compare the uses of analytic techniques. Students are provided with the data sets so they can use a statistical package to try out the techniques on their own. -Integrated discussions of design and measurement as well as analysis provide students with a complete picture of the entire research process. -Helpful and thoughtful discussion questions help instructors and students probe subjects more deeply and apply the chapters' concepts to topics of particular interest to them. -An informative self-test comprised of multiple-choice and true-false questions concludes each chapter. -An online Instructor's Manual contains discussion of self-test questions and their answers, as well as hundreds of additional field-tested test questions that instructors may use for their examinations. Package this text with [ MyLabSchool Logo ] and Research Navigator-a powerful set of online tools that bring the classroom to life! Visit www.mylabschool.com for more information!
Facts101 is your complete guide to Social Research Methods, Qualitative and Quantitative Approaches. In this book, you will learn topics such as Quantitative Data Collection and Analysis, Qualitative Data Collection and Analysis, Communicating with Others, plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
It is commonly recognized that the basis of science stems from the intersection of theory, research methods, and statistics. Criminology and Criminal Justice: Theory, Research Methods, and Statistics is designed to help readers understand the integrated relationship between these critical topics in the field of Criminal Justice. Each chapter pertains to a particular criminological theory, relevant qualitative and quantitative research methodologies, and various statistical techniques used to analyze data. This accessible text illustrates how theory, methods, and statistics play an active role in ensuing careers in law enforcement, corrections, law, and more.
Paul S. Maxim,Associate Professor Department of Sociology Paul S Maxim
This book provides a clear, practical introduction to qualitative and quantitative statistical research. Drawing from his experience conducting statistics seminars, editor George Taylor presents a streamlined overview of both quantitative and qualitative research methods. Each chapter includes work sessions and sample problems making this book an indispensable resource for graduate students.
Author: Mike Allen,Scott Titsworth,Stephen K. Hunt
Publisher: SAGE Publications
Category: Language Arts & Disciplines
Written for communication students, Quantitative Research in Communication provides practical, user-friendly coverage of how to use statistics, how to interpret SPSS printouts, how to write results, and how to assess whether the assumptions of various procedures have been met. Providing a strong conceptual orientation to techniques and procedures that range from the "moderately basic" to "highly advanced," the book provides practical tips and suggestions for quantitative communication scholars of all experience levels. In addition to important foundational information, each chapter that covers a specific statistical procedure includes suggestions for interpreting, explaining, and presenting results; realistic examples of how the procedure can be used to answer substantive questions in communication; sample SPSS printouts; and a detailed summary of a published communication journal article using that procedure. Features · Engaged Research application boxes stimulate thought and discussion, illustrating how particular research methods can be used to answer very practical, civic-minded questions. · Realistic examples at the beginning of each chapter show how the chapter's procedure could be used to answer a substantive research question. · Examples and application activities geared toward the emerging trend of service learning encourage students to do projects oriented toward their community or campus. · Summaries of journal articles demonstrate how to write statistical results in APA style and illustrate how real researchers use statistical procedures in a wide variety of contexts, such as tsunami warnings, date requests, and anti-drug public service announcements. · How to Decipher Figures show students how to "read" the statistical shorthand presented in the quantitative results of an article and also, by implication, show them how to write up results . Quantitative Research in Communication is ideal for courses in Quantitative Methods in Communication, Statistical Methods in Communication, Advanced Research Methods (undergraduate), and Introduction to Research Methods (Graduate) in departments of communication, educational psychology, psychology, and mass communication.
Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
The pioneering texts in quantitative history were written over two decades ago, but as a command of methodological context, computer experience, and statistical literacy have become increasingly important to the study of history, the need for an introduct
'This is an excellent book which significantly contributes to tourism research and education. It takes a rigorous yet readable style to address twenty five of the most pertinent quantitative and qualitative techniques applied in tourism research. the book will appeal to a wider readership of social scientists as well as to scholars of tourism as each chapter provides a thorough overview and explanation of the techniques irrespective of their tourism application.' – Dimitrios Buhalis, Bournemouth University, UK This insightful book explores the most important established and emerging qualitative and quantitative research methods in tourism. the authors provide a detailed overview of the nature of the research method, its use in tourism, the advantages and limitations, and future directions for research. Each chapter is structured to provide information on: the nature of the technique and its evolution; background and types of problems that the technique is designed to handle; applications of the technique to tourism, including discussion of studies that have used the technique and their findings; advantages and limitations of the technique conceptually and for policy formulation; and further developments and applications of the technique in tourism research. Handbook of Research Methods in Tourism will appeal to social scientists, students as well as researchers in tourism who use quantitative and qualitative research techniques.
Publisher: Macmillan International Higher Education
Whether it's designing a study, conducting an experiment, or analyzing the results, research methods are an integral part of Psychology. In this student-friendly introduction, Walker covers the different types of study, quantitative data, statistics and ethics. This book is the perfect tool to help build students' confidence in this vital area.
Quantitative Social Research Methods explores the entire spectrum of quantitative social research methods and their application, with special reference to the development sector. It provides detailed coverage of all statistical research and analysis method with an emphasis on multivariate analysis techniques, such as regression discriminant analysis, logistic regression, factor, factor, cluster, correspondence and conjoint analysis. The book is thematically arranged in two sections: the first section introduces development research techniques, explores the genesis and scope of social research, research processes and then goes on to explain univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. The second focuses on the application of social and development research methods in the development sector. It explores research method application and the issues relevant to aspects of development such as population, health and nutrition, poverty and rural development, education, water and sanitation, and environment and natural resource management.
Facts101 is your complete guide to Research Methods for Political Science, Quantitative and Qualitative Approaches. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
A user-friendly, hands-on guide to recognizing and conductingproper research techniques in data collection Offering a unique approach to numerical research methods,Analyzing Quantitative Data: An Introduction for SocialResearchers presents readers with the necessary statisticalapplications for carrying out the key phases of conducting andevaluating a research project. The book guides readers through thesteps of data analysis, from organizing raw data to utilizingdescriptive statistics and tests of significance, drawing validconclusions, and writing research reports. The author successfullyprovides a presentation that is accessible and hands-on rather thanheavily theoretical, outlining the key quantitative processes andthe use of software to successfully draw valid conclusions fromgathered data. In its discussion of methods for organizing data, the bookincludes suggestions for coding and entry into spreadsheets ordatabases while also introducing commonly used descriptivestatistics and clarifying their roles in data analysis. Next,inferential statistics is explored in-depth with explanations ofand instructions for performing chi-square tests, t-tests, analysesof variance, correlation and regression analyses, and a number ofadvanced statistical procedures. Each chapter contains explanationsof when to use the tests described, relevant formulas, and samplecomputations. The book concludes with guidance on extractingmeaningful conclusions from statistical tests and writing researchreports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS®sections provide fundamental instruction for using SPSS® toobtain the results presented. Where necessary, the author providesbasic theoretical explanations for distributions and backgroundinformation regarding formulas. Each chapter concludes withpractice problems, and a related website features derivations ofthe book's formulas along with additional resources for performingthe discussed processes. Analyzing Quantitative Data is an excellent book forsocial sciences courses on data analysis and research methods atthe upper-undergraduate and graduate levels. It also serves as avaluable reference for applied statisticians and practitionersworking in the fields of education, medicine, business and publicservice who analyze, interpret, and evaluate data in their dailywork.
Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.
Introduction to Research Methods and Data Analysis in Psychology provides coverage of both quantitative and qualitative methods. This includes detail of the statistical analysis of data (by hand and using SPSS for Windows version 11.0) and the analysis of qualitative data with all the major approaches in use today. Few other single books provide the same level of coverage of quantitative and qualitative approaches. The book includes activity boxes providing exercises designed to further cement knowledge and understanding. Study boxes are used throughout to give examples of the application of research methods and data analysis with cutting-edge research in psychology. Introduction to Research Methods and Data Analysis in Psychology is accessible to undergraduate students studying other social science disciplines and is also appropriate for A-level students beginning to study psychology.
Conducting research can be one of the most fascinating--and intimidating--tasks for students and scholars. A relevant and accessible guide to quantitative research, Quantitative Research Methods for Communication: A Hands-On Approach offers an innovative and insightful look at this complex subject. Drawing on their extensive research and teaching experience in the field of communication, authors Jason S. Wrench, Candice Thomas-Maddox, Virginia Peck Richmond, and James C. McCroskey have compiled their diverse, acclaimed work into one comprehensive volume. In clear, straightforward language, the authors encourage students to take an active, hands-on role in the learning process, giving them the tools they need to locate, conduct, collect, and present their research. Students are not only introduced to new skills, but they also have the opportunity to immediately apply these skills in research scenarios. Beginning with a brief history of social science research, the text incorporates the following resources: * An introduction to the fundamentals of communication research, from library skills to basic mathematical concepts * An examination of the three most common techniques used in communication research: survey, content analysis, and experiment * A sophisticated analysis of sampling and hypothesis testing * A step-by-step introduction to statistical tools * Guided research assignments based on actual data-driven research questions * In-depth analyses of articles that feature statistical tests * A guide to presenting research findings, from delivering research papers at conferences to submitting original research for publication The text integrates rich pedagogical features throughout, including chapter objectives, case studies, data sheets, and lists of key terms. The accompanying CD-ROM offers many helpful tools, including ten articles originally published by the Eastern Communication Association and a Student Workbook. An invaluable resource for gathering and processing information in the twenty-first century, Quantitative Research Methods for Communication equips students with the skills--and confidence--to produce their own cutting-edge research.
'The strength of this book is in the determined approach it takes to helping the reader learn the subject matter by the inclusion of explanations of key terms and exercises. If coupled with tutorial support, this will encourage students to work harder at the subject matter - always a challenge in what many students perceive as the least accessible and interesting part of psychology. It is well worth considering as a core methods text for undergraduates or for masters students new to psychology'- John Hegarty, Times Higher Educational Supplement, Textbook Guide Research Methods and Statistics in Psychology is an accessible introduction to the principal research methods and statistical procedures that underpin psychological research. With a broad range of support materials and features it is the ideal textbook to accompany both a first and second year course. Key features of this new textbook: - Accompanying website: an interactive resource for both both teachers and students including powerpoint slides of lecture notes, self-test multiple choice questions and answers for students as well as other on-line features. To access these please click on the Companion Website logo above - Coverage of the full research process in psychology from the ground up, addressing issues to do with research goals, problem definition and hypothesis, methodological choices and strategy and ethical controversies. - Complete coverage of the key quantitative and qualitative methods now recognised in psychology. - A host of textbook features including checklists of research evaluation and improvement, discussion questions and exercises; and annotated further reading at the end of every chapter. - Appendices in the back of the textbook in conjunction with the accompanying website - step-by-step guide to performing key statistical tests and a guide to writing up experiments and reports in psychology. Research Methods and Statistics in Psychology is a comprehensive and student-friendly introductory textbook that deals with psychological research issues in depth, but which places an emphasis on the conceptual and practical skills necessary to become a good researcher.