Analyzing Quantitative Data

Author: Debra Wetcher-Hendricks
Publisher: John Wiley & Sons
ISBN: 9781118626115
Release Date: 2014-08-21
Genre: Psychology

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.

Analyzing Quantitative Data

Author: Norman Blaikie
Publisher: SAGE
ISBN: 0761967591
Release Date: 2003-03-06
Genre: Social Science

For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.

Introduction to Quantitative Research Methods

Author: Mark Balnaves
Publisher: SAGE
ISBN: 9781848608641
Release Date: 2001-04-10
Genre: Social Science

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.

Advanced Quantitative Data Analysis

Author: Cramer, Duncan
Publisher: McGraw-Hill Education (UK)
ISBN: 9780335200597
Release Date: 2003-07-01
Genre: Social Science

There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. The following features characterize this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; annotated bibliography and glossary of key concepts.

Quantitative Data Analysis with SPSS 12 and 13

Author: Alan Bryman
Publisher: Psychology Press
ISBN: 0415340802
Release Date: 2005
Genre: Psychology

This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including: Non-parametric tests Correlation Simple and multiple regression Multivarate analysis of variance and covariance Factor analysis The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. This new edition of this hugely successful textbook will guide the reader through the basics of quantitative data analysis and become an essential reference tool for both students and researchers in the social sciences. The datasets used in Quantitative Data Analysis for SPSS Release 12 and 13 are available online at www.psypress.com/brymancramer/ .

Quantitative Social Science

Author: Kosuke Imai
Publisher: Princeton University Press
ISBN: 9781400885251
Release Date: 2017-02-27
Genre: Social Science

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Quantitative Data Analysis

Author: Donald J. Treiman
Publisher: John Wiley & Sons
ISBN: 9781118512609
Release Date: 2014-01-30
Genre: Education

This book is an accessible introduction to quantitative dataanalysis, concentrating on the key issues facing those new toresearch, such as how to decide which statistical procedure issuitable, and how to interpret the subsequent results. Each chapterincludes illustrative examples and a set of exercises that allowsreaders to test their understanding of the topic. The book, writtenfor graduate students in the social sciences, public health, andeducation, offers a practical approach to making sociological senseout of a body of quantitative data. The book also will be useful tomore experienced researchers who need a readily accessible handbookon quantitative methods. The author has posted stata files, updates and data sets athis websitehttp://tinyurl.com/Treiman-stata-files-data-sets.

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

Author: Michael J. Albers
Publisher: John Wiley & Sons
ISBN: 9781119290186
Release Date: 2017-04-03
Genre: Mathematics

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.

The Practice of Social Research

Author: Earl Babbie
Publisher: Cengage Learning
ISBN: 9781133049791
Release Date: 2012-01-01
Genre: Science

The Thirteenth Edition of Babbie’s THE PRACTICE OF SOCIAL RESEARCH gives students the tools they need to apply research concepts practically, as both researchers and consumers. Known as the gold standard for research methods, the book offers a comprehensive, straightforward introduction to the field of research as practiced by social scientists. Babbie emphasizes the research process by showing students how to design and construct projects, introducing the various observation modes in use today, and answering questions about research methods--such as how to conduct online surveys and analyze both qualitative and quantitative data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Social Research

Author: Matthew David
Publisher: SAGE
ISBN: 0761973672
Release Date: 2004-04-10
Genre: Social Science

This is a general and integrated introduction to qualitative and quantitative research design, data collection and analysis in the social sciences field and includes comprehensive and practical instruction (including screenshots) on the use of analysis software.

Qualitative Data

Author: Carl Auerbach
Publisher: NYU Press
ISBN: 0814706959
Release Date: 2003-09
Genre: Psychology

In many arenas the debate is raging over the nature of sexual orientation. Queer Words, Queer Images addresses this debate, but with a difference, arguing that homosexuality has become an issue precisely because of the way in which we discuss, debate, and communicate about the concept and experience of homosexuality. The debate over homosexuality is fundamentally an issue of communication--as we can see by the recent controversy over gays in the military. This controversy, termed by one gay man as the annoying habit of heterosexual men to overestimate their own attractiveness, has been debated in communication-sensitive terms, such as morale and discipline. The twenty chapters address such subjects as gay political language, homosexuality and AIDS on prime-time television, the politics of male homosexuality in young adult fiction, the identification of female athleticism with lesbianism, the politics of identity in the works of Edmund White, and coming out strategies. This is must reading for students of communication practices and theory, and for everyone interested in human sexuality. Contributing to the book are: James Chesebro (Indiana State), James Darsey (Ohio State), Joseph A. Devito (Hunter College, CUNY), Timothy Edgar (Purdue), Mary Anne Fitzpatrick (Wisconsin, Madison), Karen A. Foss (Humboldt State), Kirk Fuoss (St. Lawrence), Larry Gross (Pennsylvania), Darlene Hantzis (Indiana State), Fred E. Jandt (California State, San Bernardino), Mercilee Jenkins (San Francisco State), Valerie Lehr (St. Lawrence), Lynn C. Miller (Texas, Austin), Marguerite Moritz (Colorado, Boulder), Fred L. Myrick (Spring Hill), Emile Netzhammer (Buffalo State), Elenie Opffer, Dorothy S. Painter (Ohio State), Karen Peper (Michigan), Nicholas F. Radel (Furman), R. Jeffrey Ringer (St. Cloud State), Scott Shamp (Georgia), Paul Siegel (Gallaudet), Jacqueline Taylor (Depaul), Julia T. Wood (North Carolina, Chapel Hill).

Quantitative Research in Linguistics

Author: Sebastian M. Rasinger
Publisher: A&C Black
ISBN: 9781472566966
Release Date: 2013-12-05
Genre: Language Arts & Disciplines

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.

Introduction to Social Research

Author: Keith F Punch
Publisher: SAGE
ISBN: 9781446296165
Release Date: 2013-11-19
Genre: Social Science

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. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Strategies for Interpreting Qualitative Data

Author: Martha S. Feldman
Publisher: SAGE
ISBN: 0803959168
Release Date: 1995
Genre: Social Science

Martha S Feldman's invaluable text outlines four key strategies for interpreting qualitative data: ethnomethodology, semiotics, dramaturgy and deconstruction. The author examines the strengths and weaknesses of each strategy and identifies when to use them. To demonstrate, she applies the techniques of each method to a single data set, highlighting the differences in results.