quantitative methods in educational and social research using spss

Download Book Quantitative Methods In Educational And Social Research Using Spss in PDF format. You can Read Online Quantitative Methods In Educational And Social Research Using Spss here in PDF, EPUB, Mobi or Docx formats.

Quantitative Methods In Educational And Social Research Using Spss

Author : Tolmie, Andy
ISBN : 9780335233779
Genre : Education
File Size : 83. 2 MB
Format : PDF
Download : 494
Read : 533

Download Now


The aim of this book is to bridge the gap between introductory and more advanced ‘technical’ books on quantitative methods, helping the reader to progress clearly.

Using Secondary Data In Educational And Social Research

Author : Smith, Emma
ISBN : 9780335223589
Genre : Education
File Size : 35. 12 MB
Format : PDF, ePub, Docs
Download : 349
Read : 802

Download Now


This comprehensive guide introduces students to the use of secondary data in educational and social research, and provides a practical resource for researchers who are new to the field of secondary data analysis.

Quantitative Methods In Social Science Research

Author : Stephen Gorard
ISBN : 9781441144768
Genre : Education
File Size : 43. 30 MB
Format : PDF, ePub, Docs
Download : 373
Read : 646

Download Now


This clever scheme builds on Gorard's previous book, Quantitative Methods in Educational Research. He has revised the original book in the light of experience and feedback, and has reworked it so that it includes more social science examples. Four chapters are entirely new.

Understanding And Applying Research Design

Author : Martin Lee Abbott
ISBN : 9781118605295
Genre : Mathematics
File Size : 86. 97 MB
Format : PDF, Docs
Download : 839
Read : 959

Download Now


A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.

Theory And Methods In Social Research

Author : Bridget Somekh
ISBN : 1446246329
Genre : Social Science
File Size : 61. 76 MB
Format : PDF, Kindle
Download : 794
Read : 189

Download Now


This new edition provides a scholarly and readable introduction to all the key qualitative and quantitative research methodologies and methods, enabling postgraduate and masters-level students and new researchers to reflect on which ones suit their needs and to receive guidance on how to find out more. With chapters written by experienced research practitioners, this second edition has been extensively expanded and updated. There are seven completely new chapters, as well as: - new material on literature reviews - a new introduction to quantitative methods - an expanded glossary - Weblinks with free access to a wide range of peer-reviewed journal articles - an annotated bibliography with conversational notes from authors in each chapter. This book will act as your 'expert friend' throughout your research project, providing advice, explaining key concepts and the implications for your research design, and illustrating these with examples of real research studies.

Quantitative Social Research Methods

Author : Kultar Singh
ISBN : 9789351500063
Genre : Social Science
File Size : 37. 71 MB
Format : PDF
Download : 915
Read : 298

Download Now


Quantitative Social Research Methods explores the entire spectrum of quantitative social research methods and their application, with special reference to the development sector. It provides detailed coverage of all statistical research and analysis method with an emphasis on multivariate analysis techniques, such as regression discriminant analysis, logistic regression, factor, factor, cluster, correspondence and conjoint analysis. The book is thematically arranged in two sections: the first section introduces development research techniques, explores the genesis and scope of social research, research processes and then goes on to explain univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. The second focuses on the application of social and development research methods in the development sector. It explores research method application and the issues relevant to aspects of development such as population, health and nutrition, poverty and rural development, education, water and sanitation, and environment and natural resource management.

Best Practices In Quantitative Methods

Author : Jason W. Osborne
ISBN : 9781412940658
Genre : Social Science
File Size : 34. 21 MB
Format : PDF, ePub
Download : 265
Read : 703

Download Now


The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Advanced Quantitative Data Analysis

Author : Cramer, Duncan
ISBN : 9780335200597
Genre : Social Science
File Size : 77. 25 MB
Format : PDF, ePub, Docs
Download : 957
Read : 205

Download Now


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.

Quantitative Data Analysis Using Spss An Introduction For Health And Social Sciences

Author : Greasley, Pete
ISBN : 9780335223053
Genre : Medical
File Size : 47. 82 MB
Format : PDF, ePub
Download : 907
Read : 713

Download Now


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.

Understanding Educational Statistics Using Microsoft Excel And Spss

Author : Martin Lee Abbott
ISBN : 9781118627181
Genre : Mathematics
File Size : 25. 15 MB
Format : PDF
Download : 665
Read : 1087

Download Now


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.

Top Download:

Best Books