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Doing Quantitative Research In Education With Spss

Author: Daniel Muijs
Publisher: SAGE
ISBN: 9781446242346
Size: 18.87 MB
Format: PDF, Kindle
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This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book's website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.

Quantitative Data Analysis In Education

Author: Paul Connolly
Publisher: Routledge
ISBN: 1134191847
Size: 19.45 MB
Format: PDF, Kindle
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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 Social Research Methods

Author: Kultar Singh
Publisher: SAGE
ISBN: 9780761933830
Size: 41.91 MB
Format: PDF
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Social research plays a crucial role in the development process as it provides the tools to bring about social change. This book presents an in-depth look at social research - its fundamental postulates, tools and techniques of analysis - and assesses its relevance for the development and social sectors in India. The author explores how development changes take place and their impact on rural life, especially on the underprivileged and marginalised sections of society. Divided into two sections, the book first discusses all aspects of social research - its various methods, scope, sampling methodology and significance, and presents quantitative, univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. In the second section, the author examines the impact of social research on health and nutrition, poverty and rural development, education, water and sanitation, environment and natural resource management.

Understanding Educational Statistics Using Microsoft Excel And Spss

Author: Martin Lee Abbott
Publisher: John Wiley & Sons
ISBN: 1118627180
Size: 78.17 MB
Format: PDF, ePub, Docs
View: 863
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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.

Quantitative And Statistical Research Methods

Author: William E. Martin
Publisher: John Wiley & Sons
ISBN: 111823457X
Size: 61.57 MB
Format: PDF, Kindle
View: 306
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Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.

The Reviewer S Guide To Quantitative Methods In The Social Sciences

Author: Gregory R. Hancock
Publisher: Routledge
ISBN: 1135172994
Size: 54.11 MB
Format: PDF
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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Doing Quantitative Research In The Social Sciences

Author: Thomas R Black
Publisher: SAGE
ISBN: 1446223639
Size: 30.30 MB
Format: PDF, Kindle
View: 3935
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This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.

Quantitative Research Methods For Professionals

Author: W. Paul Vogt
Publisher: Allyn & Bacon
ISBN: 9780205359134
Size: 71.33 MB
Format: PDF, ePub, Mobi
View: 6203
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This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computational formulas, it is accessible to a wide range of research users, Professional practitioners in areas such as education, business, social work, and psychology gain an understanding of research methods, enabling them to interpret advanced research in their fields. Features: -Accessibility to readers of any level, including those with no mathematics beyond elementary arithmetic and a limited background in research methods and statistics, as text discusses advanced methods with ease. -Three part organization-The Basics, Advanced Methods, and Specialized Applications-provides instructors the flexibility to choose among advanced techniques and specialized applications. -Real data is used to illustrate and compare the uses of analytic techniques. Students are provided with the data sets so they can use a statistical package to try out the techniques on their own. -Integrated discussions of design and measurement as well as analysis provide students with a complete picture of the entire research process. -Helpful and thoughtful discussion questions help instructors and students probe subjects more deeply and apply the chapters' concepts to topics of particular interest to them. -An informative self-test comprised of multiple-choice and true-false questions concludes each chapter. -An online Instructor's Manual contains discussion of self-test questions and their answers, as well as hundreds of additional field-tested test questions that instructors may use for their examinations. Package this text with [ MyLabSchool Logo ] and Research Navigator-a powerful set of online tools that bring the classroom to life! Visit www.mylabschool.com for more information!

Statistics For Research

Author: George Argyrous
Publisher: SAGE
ISBN: 9781446245163
Size: 79.18 MB
Format: PDF, ePub
View: 5638
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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.