Quantitative Methods In Educational And Social Research Using Spss


Book Description

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.




Doing Quantitative Research in Education with SPSS


Book Description

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.




Doing Quantitative Research in Education with IBM SPSS Statistics


Book Description

This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.




Interpreting Quantitative Data with SPSS


Book Description

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.




Quantitative Methods in Educational and Social Research Using Spss


Book Description

Quantitative Methods in Educational and Social Research Using SPSS bridges the gap between introductory and advanced volumes on quantitative methods. Central to the text is an emphasis on the concept of modelling at the core of data analysis. The implications of the modelling approach are taken all the way back to the stages of research design and sampling, and use of simple descriptive statistics. Using this as a lens the book then moves on to explain carefully a full range of statistical techniques from basic procedures such as correlation and analysis of variance, to advanced methods such as multiple regression, path analysis and multilevel modelling. Key features of the book include: Crucial points illustrated by getting readers to work through key theoretical and analytical tasks A CD that offers step by step guidance on the use of SPSS and example analyses for each of the methods covered by the text Clear explanation of the conceptual background to all the analytical techniques included in the book A range of example datasets The aim throughout is to help you gain a fully-grounded conceptual grasp of different techniques, allowing you to apply these thoughtfully, as well as helping you progress towards a more advanced understanding through a step-by-step approach. This book is for you if you are a student or researcher in education or a related field and want an introductory resource that helps you get up to speed quickly.




Quantitative Data Analysis in Education


Book Description

An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods.




Design and Analysis in Educational Research


Book Description

This book presents an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Design and Analysis in Educational Research teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets. This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.




Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics


Book Description

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning to use SPSS® software to interpret and manage data within their social statistics and/or research methods courses. Both first-time and more experienced SPSS® users will appreciate author William E. Wagner, III’s step-by-step explanations of SPSS® operating procedures and introductory statistical operations. The Seventh Edition reflects SPSS® Version 25.0 and incorporates the latest results from the General Social Survey (GSS) as a secondary data set. Using examples, tables, and actual SPSS® screen captures, it guides users through several different kinds of SPSS® files including data files, output files, and syntax files.




Quantitative and Statistical Research Methods


Book Description

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.




Methods of Educational and Social Science Research


Book Description

As the new subtitle indicates, the book emphasizes the logic of methods to provide the student a solid basis for future methodology changes, enhancing the integrated approach of the previous edition. Among the author’s many goals are for users to: understand research’s contribution to knowledge building as a social process through which findings become accepted as knowledge; acquire the background to read, analyze, and understand research using a variety of approaches as well as the hallmarks necessary to evaluate each method; and realize that the responsibility for ethical research is fundamentally theirs and that value choices are involved, beginning with the choice of research problem. Updates to the new edition include an extensive example of the use of the computer in the literature search and a new chapter on the reflective researcher. The expanded treatment of qualitative research includes the pros and cons of using software in qualitative analysis. Conceptual analysis, an important concept missing from the second edition, has returned by request because of its widely employed logic in both qualitative and quantitative methods. The author has acknowledged the troublesome nature of the concepts internal validity and external validity and has more clearly defined these important foundational concepts as Internal Integrity and External Generality. Useful tools to facilitate learning include additional reading lists, important terms and concepts, tips on effective research methods and hallmarks of methods, application problems and exercises, a glossary, and an appendix on writing a research proposal. A Web site is available with auxiliary learning enhancements and updates.