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.

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.

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.

Designing Social Research

Author: Norman Blaikie
Publisher: John Wiley & Sons
ISBN: 9781509517442
Release Date: 2019-01-15
Genre: Social Science

Designing Social Research is a uniquely comprehensive and student-friendly guide to the core knowledge and types of skills required for planning social research. The authors organize the book around four major steps in social research – focusing, framing, selecting and distilling – placing particular emphasis on the formulation of research questions and the choice of appropriate 'logics of inquiry' to answer them. The requirements for research designs and proposals are laid out at the beginning of the book, followed by a discussion of key design issues and research ethics. Four sample research designs on environmental issues illustrate the role of research questions and the application of the four logics of inquiry, and this third edition includes new material dedicated to social research in a digital, networked age. Fully revised and updated, Designing Social Research continues to be an invaluable resource to demystify the research process for advanced undergraduate and graduate students. Together with the authors' Social Research: Paradigms in Action and Blaikie's Approaches to Social Enquiry, it offers social scientists an informative guide to designing social research.

Quantitative Research in Linguistics

Author: Sebastian M. Rasinger
Publisher: A&C Black
ISBN: 9781472566973
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.

Analyzing Qualitative Data

Author: Alan Bryman
Publisher: Routledge
ISBN: 9781134927531
Release Date: 2002-09-09
Genre: Social Science

This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis for social policy. Shrewd and insightful, the collection will be required reading for students of the latest thinking on research methods.

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.

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.

Social Research Methods

Author: Harvey Russell Bernard
Publisher: SAGE
ISBN: 076191403X
Release Date: 2000
Genre: Social Science

H Russell Bernard, author of the bestselling textbook Research Methods in Anthropology and a world figure in the social sciences, brings to the researcher and the student, the excitement of the research act as never before. The author follows two chapters on the fundamentals of social science and social research by three on preparation, two on interviewing, one on scaling, and two on relative advantages and methods of participative, direct and indirect observation. Six further chapters take the student from the basics of analysis by way of methods for analyzing qualitative data to those for quantitative data analysis, culminating in multivariate analysis, which the author identifies as the key to the most interesting social research of all. Each chapter concludes with key concepts, a summary, exercises and further readings.

Social Research Methods

Author: H. Russell Bernard
Publisher: SAGE Publications
ISBN: 9781452256504
Release Date: 2012-03-02
Genre: Social Science

H. Russell Bernard's text provides a comprehensive guide to doing research in the social and behavioral sciences, from the foundations and research design, to collecting and analyzing data. Rich in examples, Social Research Methods: Qualitative and Quantitative Approaches has been revised and updated to provide today's students with a conceptual understanding of each technique, as well as showing them how to use it.

Quantitative Data Analysis with Minitab

Author: Alan Bryman
Publisher: Routledge
ISBN: 9781134805747
Release Date: 2003-09-02
Genre: Psychology

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

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 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/ .