Search Results for "interpreting-quantitative-data"

Interpreting Quantitative Data

Interpreting Quantitative Data

  • Author: David Byrne
  • Publisher: SAGE
  • ISBN: 9780761962625
  • Category: Social Science
  • Page: 176
  • View: 594
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How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and `don'ts' of effective quantitative research? This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. It offers students a guide on how to: interpret the complex reality of the social world; achieve effective measurement; understand the use of official statistics; use social surveys; understand probability and quantitative reasoning; interpret measurements; apply linear modelling; understand simulation and neural nets; and integrate quantitative and qualitative modelling in the research process. Jargon-free and written with the needs of students in mind, the book will be required reading for students interested in using quantitative research methods.

Interpreting Quantitative Data with SPSS

Interpreting Quantitative Data with SPSS

  • Author: Rachad Antonius
  • Publisher: SAGE
  • ISBN: 9780761973997
  • Category: Social Science
  • Page: 306
  • View: 5885
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This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Interpreting Quantitative Data with IBM SPSS Statistics

Interpreting Quantitative Data with IBM SPSS Statistics

  • Author: Rachad Antonius
  • Publisher: SAGE
  • ISBN: 144627182X
  • Category: Social Science
  • Page: 376
  • View: 3916
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The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis. Key features of the second edition include: - new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression. - SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice - sets of exercises and 'real-life' examples to aid teaching and learning - lists of key terms to aid revision and further reading to enhance students' understanding - an improved text design making the book easier to navigate - a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides

Interpreting Qualitative Data

Interpreting Qualitative Data

  • Author: David Silverman
  • Publisher: SAGE
  • ISBN: 1473916631
  • Category: Social Science
  • Page: 520
  • View: 8435
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In this fifth edition of his field-defining text, David Silverman, a true guru of qualitative research, walks the reader through the basics of gathering and analyzing qualitative data. The book offers beginners unrivalled hands-on guidance to help them get the best out of a research methods course or research project. New to the fifth edition: A streamlined structure to aid navigation and guide readers smoothly through the research process. A new chapter on generalizing from case-study research which addresses the perennial issue of ‘how many cases do you need?’ New material on doing qualitative research online and the ethics of internet research. Additional sections covering organizational documents and documents of everyday life, including blogs and diaries. Many more recent case study examples drawn from a broad range of disciplines including business, education, social work and geography as well as health studies. A new and improved companion website, full of additional resources for students and lecturers. This is the perfect companion for all those new to qualitative research. 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.

Quantitative Research Methods in Translation and Interpreting Studies

Quantitative Research Methods in Translation and Interpreting Studies

  • Author: Christopher D. Mellinger,Thomas A. Hanson
  • Publisher: Routledge
  • ISBN: 1317299221
  • Category: Language Arts & Disciplines
  • Page: 294
  • View: 678
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Quantitative Research Methods in Translation and Interpreting Studies encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors cover: • sampling techniques, measurement, and survey design; • how to describe data; • how to analyze differences; • how to analyze relationships; • how to interpret results. Each part includes references to additional resources and extensive examples from published empirical work. A quick reference table for specific tests is also included in the appendix. This user-friendly guide is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies. Accompanying materials are available online, including step-by-step walkthroughs of how analysis was conducted, and extra sample data sets for instruction and self study: https://www.routledge.com/9781138124967. Further resources for Translation and Interpreting Studies are available on the Routledge Translation Studies Portal: http://cw.routledge.com/textbooks/translationstudies.

Statistics Translated

Statistics Translated

A Step-by-step Guide to Analyzing and Interpreting Data

  • Author: Steven R. Terrell
  • Publisher: Guilford Press
  • ISBN: 1462503217
  • Category: Social Science
  • Page: 409
  • View: 4044
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Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved. Engaging research examples lead the reader through a series of six steps, from identifying a researchable problem to stating a hypothesis, identifying independent and dependent variables, and selecting and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. The book provides students and others who may need to read and interpret statistically based research with the essential knowledge and skills needed to make decisions based on data. ? Pedagogical Features Include: *Checklists of key words and formulas in every chapter. *Examples of SPSS screenshots used for analyzing data. *Cautionary notes plus "Putting It All Together" section recaps. *End-of-chapter self-quizzes (with full answers and explanations). *Glossary of terms.

Quantitative Data Analysis in Education

Quantitative Data Analysis in Education

A Critical Introduction Using SPSS

  • Author: Paul Connolly
  • Publisher: Routledge
  • ISBN: 1134191847
  • Category: Education
  • Page: 288
  • View: 8697
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This book provides a refreshing and user-friendly guide to quantitative data analysis in education for students and researchers. It assumes absolutely no prior knowledge of quantitative methods or statistics. Beginning with the very basics, it provides the reader with the knowledge and skills necessary to be able to undertake routine quantitative data analysis to a level expected of published research. Rather than focusing on teaching statistics through mathematical formulae, the book places an emphasis on using SPSS to gain a real feel for the data and an intuitive grasp of the main concepts and techniques involved. Drawing extensively upon up-to-date and relevant examples, the reader will be encouraged to think critically about quantitative research and its potential as well as its limitations in relation to education. Packed with helpful features, this book: provides illustrated step-by-step guides showing how to use SPSS, with plenty of exercises to encourage the reader to practice and consolidate their new skills makes extensive use of real-life educational datasets derived from national surveys in the US and UK to illustrate key points and to bring the material to life has a companion website that contains all of the educational datasets used in the book to download as well as comprehensive answers to exercises and a range of other useful resources that are regularly updated. The book will therefore appeal not only to undergraduate and postgraduate students but also to more established and seasoned educational researchers and lecturers and professors who have tended to avoid or shy away from quantitative methods.

Interpreting and Using Regression

Interpreting and Using Regression

  • Author: Christopher H. Achen
  • Publisher: SAGE Publications
  • ISBN: 145221011X
  • Category: Social Science
  • Page: 88
  • View: 8055
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Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.

Just Plain Data Analysis

Just Plain Data Analysis

Finding, Presenting, and Interpreting Social Science Data

  • Author: Gary M. Klass
  • Publisher: Rowman & Littlefield Publishers
  • ISBN: 1442215097
  • Category: Political Science
  • Page: 202
  • View: 4667
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Just Plain Data Analysis is designed to teach students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.

Strategies for Interpreting Qualitative Data

Strategies for Interpreting Qualitative Data

  • Author: Martha S. Feldman
  • Publisher: SAGE
  • ISBN: 9780803959163
  • Category: Social Science
  • Page: 71
  • View: 1854
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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.

Critical Theory and Qualitative Data Analysis in Education

Critical Theory and Qualitative Data Analysis in Education

  • Author: Rachelle Winkle-Wagner
  • Publisher: Taylor & Francis
  • ISBN: 1351657844
  • Category:
  • Page: N.A
  • View: 8743
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Statistics As Principled Argument

Statistics As Principled Argument

  • Author: Robert P. Abelson
  • Publisher: Psychology Press
  • ISBN: 1135694419
  • Category: Psychology
  • Page: 240
  • View: 6313
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In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Interpreting Probability Models

Interpreting Probability Models

Logit, Probit, and Other Generalized Linear Models

  • Author: Tim Futing Liao
  • Publisher: SAGE
  • ISBN: 9780803949997
  • Category: Mathematics
  • Page: 88
  • View: 6973
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What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.

Research and Evaluation Methods in Special Education

Research and Evaluation Methods in Special Education

  • Author: Donna M. Mertens
  • Publisher: Corwin Press
  • ISBN: 1506318517
  • Category: Education
  • Page: 296
  • View: 5398
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This excellent resource provides an approach to research and evaluation that helps educators better understand and address the needs of students with various disabilities.

Quantitative Data Analysis

Quantitative Data Analysis

Doing Social Research to Test Ideas

  • Author: Donald J. Treiman
  • Publisher: John Wiley & Sons
  • ISBN: 111851260X
  • Category: Education
  • Page: 476
  • View: 2714
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This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data. The book also will be useful to more experienced researchers who need a readily accessible handbook on quantitative methods. The author has posted stata files, updates and data sets at his website http://tinyurl.com/Treiman-stata-files-data-sets.

Interpreting and Using Statistics in Psychological Research

Interpreting and Using Statistics in Psychological Research

  • Author: Andrew N. Christopher
  • Publisher: SAGE Publications
  • ISBN: 1506304184
  • Category: Psychology
  • Page: 584
  • View: 929
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This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

IBM SPSS for Intermediate Statistics

IBM SPSS for Intermediate Statistics

Use and Interpretation, Fifth Edition

  • Author: Nancy L. Leech,Karen C. Barrett,George A. Morgan
  • Publisher: Routledge
  • ISBN: 1136334939
  • Category: Psychology
  • Page: 382
  • View: 717
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Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format. The new edition features: • IBM SPSS version 22; although the book can be used with most older and newer versions • New discusiion of intraclass correlations (Ch. 3) • Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5) • New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6) • New chapter on how to use a variable as a mediator or a moderator (ch. 7) • Revised chapter on multilevel and hierarchical linear modeling (ch. 12) • A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data • Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides. IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools: • all of the key SPSS windows needed to perform the analyses • outputs with call-out boxes to highlight key points • interpretation sections and questions to help students better understand and interpret the output • extra problems with realistic data sets for practice using intermediate statistics • Appendices on how to get started with SPSS, write research questions, and basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS

Quantitative Research in Communication

Quantitative Research in Communication

  • Author: Mike Allen,Scott Titsworth,Stephen K. Hunt
  • Publisher: SAGE Publications
  • ISBN: 1452212937
  • Category: Language Arts & Disciplines
  • Page: 256
  • View: 310
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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.

A Practical Guide to Using Panel Data

A Practical Guide to Using Panel Data

  • Author: Simonetta Longhi,Alita Nandi
  • Publisher: SAGE
  • ISBN: 1473911346
  • Category: Social Science
  • Page: 344
  • View: 6936
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This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.

How to Analyze Data

How to Analyze Data

  • Author: Carol T. Fitz-Gibbon,Lynn Lyons Morris
  • Publisher: SAGE
  • ISBN: 9780803931336
  • Category: Education
  • Page: 162
  • View: 6806
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This volume offers a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, analysing differences between groups and examining relationships between measures. How to Analyze Data is a revision of the first edition volume How to Calculate Statistics. While many of the techniques described are the same as those in the original version, several infrequently applied ones have been excluded, and treatment of Effect Size, a relatively recent and simple approach to examining differences between groups, has been added. Moreover, the book has been significantly expanded with three important new chapters. A concerted effort has been made to include only the most basic and widely used statistical techniques that are appropriate for answering essential evaluation questions. Worksheets and practical examples are included throughout.