Quantitative Data Analysis In Education A Critical Introduction Using Spss Book PDF, EPUB Download & Read Online Free

Quantitative Data Analysis in Education
Author: Paul Connolly
Publisher: Routledge
ISBN: 1134191847
Pages: 288
Year: 2007-08-07
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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.
Quantitative Data Analysis in Education
Author: Paul Connolly
Publisher: Routledge
ISBN: 1134191839
Pages: 288
Year: 2007-08-07
View: 1138
Read: 448
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.
Quantitative Data Analysis in Education
Author: Paul Connolly
Publisher: Routledge
ISBN: 0203946987
Pages: 288
Year: 2007-08-28
View: 834
Read: 1046
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.
Understanding Educational Statistics Using Microsoft Excel and SPSS
Author: Martin Lee Abbott
Publisher: John Wiley & Sons
ISBN: 1118627180
Pages: 552
Year: 2014-08-21
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Utilizing the latest software, this book presents the essentialstatistical procedures for drawing valuable results from data inthe social sciences. Mobilizing interesting real-world examples from the field ofeducation, Understanding Educational Statistics Using MicrosoftExcel and SPSS supplies a seamless presentation that identifiesvaluable connections between statistical applications and researchdesign. Class-tested to ensure an accessible presentation, the bookcombines clear, step-by-step explanations and the use of softwarepackages that are accessible to both the novice and professionalalike to present the fundamental statistical practices fororganizing, understanding, and drawing conclusions from educationalresearch data. The book begines with an introduction to descriptive andinferential statistics and then proceeds to acquaint readers withthe various functions for working with quantitative data in theMicrosoft Excel environment, such as spreadsheet navigation;sorting and filtering; and creating pivot tables. Subsequentchapters treat the procedures that are commonly-employed whenworking with data across various fields of social science research,including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, eachending with a lab exercise that highlights the importance of thatprocedure by posing a research question, examining the questionthrough its application in Excel and SPSS, and concluding with abrief research report that outlines key findings drawn from theresults. Real-world examples and data from modern educationalresearch are used throughout the book, and a related Web sitefeatures additional data sets, examples, and labs, allowing readersto reinforce their comprehension of the material. Bridging traditional statistical topics with the latest softwareand applications in the field of education, UnderstandingEducational Statistics Using Microsoft Excel and SPSS is anexcellent book for courses on educational research methods andintroductory statistics in the social sciences at theupper-undergraduate and graduate levels. It also serves as avaluable resource for researchers and practitioners in the fieldsof education, psychology, and the social sciences who require astatistical background to work with data in their everydaywork.
Analyzing Quantitative Data
Author: Debra Wetcher-Hendricks
Publisher: John Wiley & Sons
ISBN: 1118626117
Pages: 414
Year: 2014-08-21
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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.
Quantitative Data Analysis Using Spss: An Introduction For Health And Social Sciences
Author: Greasley, Pete
Publisher: McGraw-Hill Education (UK)
ISBN: 0335223052
Pages: 138
Year: 2007-12-01
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Designed for the complete novice, this title guides you through a sample analysis of survey data and shows you step-by-step how to use SPSS to complete it.
An Introductory Guide to SPSS? for Windows?
Author: Eric L. Einspruch
Publisher: SAGE
ISBN: 1412904153
Pages: 145
Year: 2005-03-10
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Do you need to conduct data analysis with SPSS but are unfamiliar with the software? This user-friendly book helps you become proficient in SPSS by teaching you the fundamentals of SPSS. The Second Edition develops SPSS skills using sample programs illustrating how to conduct the analyses typically covered in an introductory statistics course. Throughout the book, data are analyzed and SPSS output are interpreted in the context of research questions. Boldface text is used to indicate operations or choices the reader will need to make when running SPSS. Exercises are also included, with solutions provided in the appendix. `I want to commend the author for including a chapter on using the SPSS manuals. I would not have thought of this addition, and the information helps the reader go on to learn the more complex components of SPSS′ - Laura Myers, University of Georgia This Second Edition has been updated to SPSS Version 12.0, although its approach makes it useful for readers running other versions. Each chapter in the updated text includes a statement of its purpose and goal, as well as a chapter glossary. The updated text includes new SPSS features, including how to recode data using the Visual Bander and how to read text data using the Text Import Wizard. Author Eric L. Einspruch thoroughly covers critical basic skills: * How to create data sets by defining and coding data, using a codebook, and entering data * How to run SPSS and work with different SPSS files * How to manipulate data by recoding values, computing values, and selecting subsets of cases to include in an analysis * How to manage data files by reading data that have been entered using other software, appending files, and merging files * How to analyze data using SPSS pull-down menus * How to analyze data using programs written in SPSS syntax This outstanding book concludes with a discussion of how to get help in SPSS, suggestions on how to make the most of SPSS manuals, and directions for taking the next steps toward software mastery.
Interpreting Quantitative Data with SPSS
Author: Rachad Antonius
Publisher: SAGE
ISBN: 0761973990
Pages: 306
Year: 2003-01-22
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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.
Using Statistics to Make Educational Decisions
Author: David Tanner
Publisher: SAGE
ISBN: 1412969778
Pages: 523
Year: 2011-09-07
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Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.
Theory-Based Data Analysis for the Social Sciences
Author: Carol S. Aneshensel
Publisher: SAGE
ISBN: 1412994357
Pages: 446
Year: 2013
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This book presents a method for bringing data analysis and statistical technique into line with theory. The author begins by describing the elaboration model for analyzing the empirical association between variables. She then introduces a new concept into this model, the focal relationship. Building upon the focal relationship as the cornerstone for all subsequent analysis, two analytic strategies are developed to establish its internal validity: an exclusionary strategy to eliminate alternative explanations, and an inclusive strategy which looks at the interconnected set of relationships predicted by theory. Using real examples of social research, the author demonstrates the use of this approach for two common forms of analysis, multiple linear regression and logistic regression. Whether learning data analysis for the first time or adding new techniques to your repertoire, this book provides an excellent basis for theory-based data analysis.
How to Use SPSS®
Author: Brian C. Cronk
Publisher: Routledge
ISBN: 1351390007
Pages: 166
Year: 2017-11-10
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How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management
IBM SPSS by Example
Author: Alan C. Elliott, Wayne A. Woodward
Publisher: SAGE Publications
ISBN: 1483319040
Pages: 368
Year: 2014-12-31
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The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Quantitative Data Analysis for Social Scientists
Author: Alan Bryman, Duncan Cramer
Publisher: Psychology Press
ISBN: 0415113075
Pages: 294
Year: 1994
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Most introductions to the techniques of statistical analysis concentrate on the often complex statistical formulae involved. Many students find these formulae extremely daunting, yet in practice computers are increasingly used to perform the same calculations in seconds. Quantitative Data Analysis for Social Scientists is designed as a non-technical guide, ignoring the traditional formulaic methods and introducing students to the most widely used computer package for analysing quantitative data. This is the Statistical Package for the Social Sciences (SPSS), whose most recently released versions (for both mainframe computers and IBM-compatible personal computers) are here employed. The authors have assumed no previous familiarity with either statistics or computing, and take the reader step-by-step through each of the techniques for which SPSS can be used.
Data Analysis Using SAS
Author: C.Y. Joanne Peng
Publisher: SAGE Publications
ISBN: 1483342794
Pages: 640
Year: 2008-08-28
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Data Analysis Using SAS offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market. It provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems. Designed to be used in order of teaching preference by instructor, the book is comprised of two primary sections: the first half of the text instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations. The second half of the text goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression - used to analyze data in the social, behavioral, and health sciences using SAS commands. A student study at www.sagepub.com/pengstudy comes replete with a multitude of computer programs, their output, specific details on how to check assumptions, as well as all data sets used in the book. Data Analysis Using SAS is a complete resource for Data Analysis I and II, Statistics I and II, Quantitative Reasoning, and SAS Programming courses across the social and behavioral sciences and health - especially those that carry a lab component.
A Tool Kit for Quantitative Data Analysis
Author: Sotirios Sarantakos
Publisher: Palgrave
ISBN: 0230500455
Pages: 128
Year: 2007-11-06
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This straightforward, approachable text provides students with a beginner's guide and continuing reference tool for undertaking statistical data analysis using SPSS. Introduces key skills for every newcomer to the subject, such as choosing the appropriate test, loading data, using graphs and interpreting computer outputs.