Search results for: introduction-to-quantitative-research-methods

Introduction to Quantitative Research Methods

Author : Mark Balnaves
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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.

Introduction to Social Research

Author : Keith Punch
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'Introduction to Social Research' presents the essential elements of both qualitative and quantitative approaches for conducting empirical research in the social sciences.

Introduction to Social Research

Author : Keith F Punch
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In the new edition of Introduction to Social Research, Keith Punch takes a fresh look at the entire research process, from formulating a research question to writing up your research. Covering qualitative, quantitative and mixed methods, the book focuses on matching research questions to appropriate methods. Offering concise, balanced coverage, this book clearly explains the underlying principles of social research and shows you how to put this understanding into practice. The third edition includes: A new chapter on literature searching and reviewing Expanded coverage of ethics A new section on using the internet in research A range of additional student learning features A brand new companion website including full-text journal articles, additional case studies and video tutorials. Using a range of examples from student research and published work, the book is an ideal introduction for any social science student taking a research methods course or embarking on their own undergraduate or postgraduate research project.

Quantitative Research in Linguistics

Author : Sebastian M. Rasinger
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Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.

Quantitative Methods for the Social Sciences

Author : Daniel Stockemer
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This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Quantitative Methods

Author : Paolo Brandimarte
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An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.

Integrating Quantitative and Qualitative Methods in Research

Author : George R. Taylor
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Integrating Quantitative and Qualitative Methods in Research provides a practical and relatively simple introduction to statistical research, both quantitative and qualitative. Drawing from his experience conducting statistics seminars, the author presents a streamlined overview of both quantitative and qualitative research methods and provides clear explanations and examples for their practical use. Each chapter includes work sessions and sample problems, which are tailored to the method being discussed. This book is an indispensable resource for graduate students.

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

Author : Michael J. Albers
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Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.

Media and Communication Research Methods

Author : Arthur Asa Berger
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In this new edition, Arthur Asa Berger employs his signature style - a practical focus, the use of numerous examples, a step-by-step approach, and humor - to update and enhance this bestselling introductory text. Combining discussions of both qualitative and quantitative research methods, in a clear and engaging writing style, the book is ideal for beginning research students at both graduate and undergraduate level.

Quantitative Research in Communication

Author : Mike Allen
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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.

Introduction to Research Methods

Author : Robert B Burns
File Size : 41.49 MB
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A comprehensive introductory research methods guide, this textbook provides students with an understanding of the concepts and techniques of qualitative and quantitative research. It uses simple examples and practice exercises to demystify complex theories and methodologies. Features include: · STQ's - Self Testing Questions (and answers) · Summaries, suggestions for further reading, examples and case studies for each chapter · Consideration of the ethics of research · Comprehensive coverage of quantitative methods, qualitative methods and survey methods . Hints on how to use of the leading software packages for quantitative and qualitative research, SPSS and NUD·

Introduction to Research Methods in Psychology

Author : Dennis Howitt
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Introduction to Research Methods in Psychology, secondedition,provides clear, comprehensive and innovative coverage of quantitative and qualitative research methods for psychology students throughout their studies. In this essential text for psychology students, the research process is broken down into manageable steps to equip students with the skills to ask intelligent research questions, carry out a literature review, choose an appropriate research design, carry out data collection and write up their findings. Throughout the book research examples are discussed which offer an insight into how research advances our understanding in areas such as forensic, social, educational, and abnormal psychology.

Introduction to Health Research Methods A Practical Guide

Author : Kathryn H. Jacobsen
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Designed to empower new investigators to conduct their own original research projects, the third edition of Introduction to Health Research Methods: A Practical Guide leads the reader step-by-step guide in performing quantitative and qualitative research in medicine, public health, and other clinical and population health fields. Organized in five sections, the text covers the entire research process from formulating a study question and selecting a study approach to collecting and analyzing data and then disseminating the findings. Chapters about methods for primary studies (collecting new data), secondary analyses (analyzing existing data), and tertiary studies (conducting literature reviews and meta-analyses) provide comprehensive coverage of the scope of health research. By breaking the research process down into a series of achievable steps, Introduction to Health Research Methods shows students and early career scholars how they can contribute to improving the health of individuals and communities through research. The Third Edition has been significantly updated to include: - Expanded coverage of qualitative research methods, including new chapters on qualitative study design, data collection, and data analysis. - Additional glossary terms that clarify key terminology for all stages of the research process and a diversity of study approaches. - Enhanced explanations of how to select and implement quantitative and qualitative research and analysis methodologies. - New and updated coverage of topics such as framing research questions, developing testable hypotheses, defining specific aims, responsibly conducting research, selecting study designs, minimizing bias, applying theoretical paradigms, ensuring rigor and reproducibility, conducting quality assessment, managing grants, and more.

Introduction to Research Methods and Data Analysis in Psychology

Author : Darren Langdridge
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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.

Introduction to Qualitative Research Methods in Psychology

Author : Dennis Howitt
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Introduction to Social Research

Author : Keith Punch
File Size : 66.44 MB
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`Valuable advice to the beginning (and the not so experienced) social researcher. It represents a valuable resource for those who are writing research proposals, for those at the start of their research projects, and also for those who are further along the research line' - Sociological Research Online The social science researcher today needs to understand the logic of both the quantitative and qualitative approaches to empirical research. This book provides comprehensive coverage of both, set within a pragmatic view of research. It is an ideal starting point for all students and researchers in the social sciences, where you can learn about: · developing a model for empirica

Best Practices in Quantitative Methods

Author : Jason W. Osborne
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The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Research Methods in Education

Author : William Wiersma
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A classic in its field, Research Methods in Education retains the clear, concise writing style and organization that has made the text so popular. It has been updated with a new chapter on evaluating research papers, additional information on computers and software used in research, and a data disk consisting of three data sets that accompanies the text. Research Methods in Education helps students evaluate research literature as well as master research methodology. It emphasizes the rationale for commonly used research procedures and their applications. The nature of educational research is outlined and the steps in the research process are clearly defined. Because identification of a research problem is so important, the entire second chapter is devoted to this topic. The text is broad in scope covering both quantitative and qualitative research methodologies as well as sampling designs, measurement, data collection, preparation of data sets for computer analysis, statistical procedures, and reports. Research Methods in Education gives students a solid understanding of all the elements of research.

Social Research Methods

Author : Harvey Russell Bernard
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The purpose of this book is to explain and demonstrate to students when to use and how to apply the quantitative and qualitative techniques that they will need to do their own social research. Using actual examples from psychology, sociology, anthropology, and education, this book provides readers with a conceptual understanding of each technique and shows them how to use it. Social Research Methods shows that a book on research methods can incorporate comprehensiveness, sophistication, and clear writing. It conveniently packages nearly everything one needs to know or think about before or while carrying out social and behavioral research.

Analyzing Quantitative Data

Author : Debra Wetcher-Hendricks
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A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.