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Interpreting Quantitative Data

Interpreting Quantitative Data Author David Byrne
ISBN-10 076196262X
Release 2002-04-11
Pages 176
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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
ISBN-10 0761973990
Release 2003-01-22
Pages 306
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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
ISBN-10 9781446271827
Release 2012-11-21
Pages 376
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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



Quantitative Research Methods in Translation and Interpreting Studies

Quantitative Research Methods in Translation and Interpreting Studies Author Christopher D. Mellinger
ISBN-10 9781317299226
Release 2016-08-25
Pages 294
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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.



Interpreting Qualitative Data

Interpreting Qualitative Data Author David Silverman
ISBN-10 9781473916630
Release 2015-01-22
Pages 520
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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.



Statistics Translated

Statistics Translated Author Steven R. Terrell
ISBN-10 9781462503018
Release 2012-04-03
Pages 409
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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.



Case Study Research in Software Engineering

Case Study Research in Software Engineering Author Per Runeson
ISBN-10 9781118181003
Release 2012-03-07
Pages 256
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Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of software engineering. This is the first software engineering specific book on the case study research method.



Interpreting Economic and Social Data

Interpreting Economic and Social Data Author Othmar W. Winkler
ISBN-10 9783540687214
Release 2009-08-12
Pages 265
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"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.



Strategies for Interpreting Qualitative Data

Strategies for Interpreting Qualitative Data Author Martha S. Feldman
ISBN-10 0803959168
Release 1995
Pages 71
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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.



Quantitative Data Analysis in Education

Quantitative Data Analysis in Education Author Paul Connolly
ISBN-10 9781134191840
Release 2007-08-07
Pages 288
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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.



Just Plain Data Analysis

Just Plain Data Analysis Author Gary M. Klass
ISBN-10 9781442215092
Release 2012-04-13
Pages 202
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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.



Interpreting and Using Regression

Interpreting and Using Regression Author Christopher H. Achen
ISBN-10 9781452210117
Release 1982-10-01
Pages 88
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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.



Transforming Qualitative Data

Transforming Qualitative Data Author Harry F. Wolcott
ISBN-10 0803952813
Release 1994-02-18
Pages 433
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The process of analyzing qualitative data and producing a complete study is discussed in this book. Breaking down the transformation process into description, analysis and interpretation, Harry Wolcott discusses these three related activities. To illustrate them, he critically analyzes his own work, using nine of his previous studies as examples. He concludes by examining how to learn and teach qualitative research using these principles.



The Art and Science of Interpreting Market Research Evidence

The Art and Science of Interpreting Market Research Evidence Author D. V. L. Smith
ISBN-10 9780470020296
Release 2004-05-14
Pages 248
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The Art and Science of Interpreting Market Research Evidence offers a complete account of the way today's researchers interpret evidence and apply it to decision making. David Smith and Jonathan Fletcher show how to assess your current deciphering processes, and present an innovative framework integrating quantitative and qualitative approaches for analysing complex data-sets. With its holistic approach to interpretation and its 10-step process for making it work in practice, this book will equip you with a deep understanding of data analysis and ultimately improve your judgment to produce better business decisions. "This is modern commercial research, where the mind of the researcher is finally acknowledged as admissible data. Prior knowledge, pragmatism, experience are all robust grist to the 'holistic' research mill. A must-read for anyone getting to grips with 21st century market research." Virginia Valentine, Semiotic Solutions



Use of Visual Displays in Research and Testing

Use of Visual Displays in Research and Testing Author Matthew T. McCrudden
ISBN-10 9781681231037
Release 2015-05-01
Pages 347
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Visual displays play a crucial role in knowledge generation and communication. The purpose of the volume is to provide researchers with a framework that helps them use visual displays to organize and interpret data; and to communicate their findings in a comprehensible way within different research (e.g., quantitative, mixed methods) and testing traditions that improves the presentation and understanding of findings. Further, this book includes contributions from leading scholars in testing and quantitative, qualitative, and mixed methods research, and results reporting. The volume’s focal question is: What are the best principles and practices for the use of visual displays in the research and testing process, which broadly includes the analysis, organization, interpretation, and communication of data? The volume is organized into four sections. Section I provides a rationale for this volume; namely, that including visual displays in research and testing can enhance comprehension and processing efficiency. Section II includes addresses theoretical frameworks and universal design principles for visual displays. Section III examines the use of visual displays in quantitative, qualitative, and mixed methods research. Section IV focuses on using visual displays to report testing and assessment data.



Interpreting Probability Models

Interpreting Probability Models Author Tim Futing Liao
ISBN-10 0803949995
Release 1994-06-30
Pages 88
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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.



Statistics As Principled Argument

Statistics As Principled Argument Author Robert P. Abelson
ISBN-10 9781135694418
Release 2012-09-10
Pages 240
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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.