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| Author | : Alan Bryman |
| Publisher | : Psychology Press |
| Total Pages | : 404 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9780415340809 |
This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.
| Author | : Alan Bryman |
| Publisher | : Psychology Press |
| Total Pages | : 408 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9780415340816 |
This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.
| Author | : Alan Bryman |
| Publisher | : Psychology Press |
| Total Pages | : 308 |
| Release | : 1996 |
| Genre | : Social Science |
| ISBN | : 9780415123235 |
Quantitative Data Analysis with Minitab explains statistical tests for Minitab users and employs the same formula-free, non-technical approach as the very successful SPSS version. Students are introduced to the basic commands of the package and shown how quantitative data analysis techniques can be implemented through the latest versions of Minitab. Techniques covered include univariate, bivariate and multivariate analysis, with discussion of issues such as sampling, conceptualization and measurement. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non-mathematical introduction to quantitative data analysis and the Minitab package.
| Author | : Rachad Antonius |
| Publisher | : SAGE |
| Total Pages | : 336 |
| Release | : 2003-01-22 |
| Genre | : Social Science |
| ISBN | : 9780761973997 |
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.
| Author | : Paul Connolly |
| Publisher | : Routledge |
| Total Pages | : 283 |
| Release | : 2007-08-07 |
| Genre | : Education |
| ISBN | : 1134191847 |
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.
| Author | : Greasley, Pete |
| Publisher | : McGraw-Hill Education (UK) |
| Total Pages | : 146 |
| Release | : 2007-12-01 |
| Genre | : Medical |
| ISBN | : 0335223052 |
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.
| Author | : Daniel Muijs |
| Publisher | : SAGE |
| Total Pages | : 266 |
| Release | : 2010-12-31 |
| Genre | : Education |
| ISBN | : 144624234X |
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.
| Author | : William E. Martin |
| Publisher | : John Wiley & Sons |
| Total Pages | : 498 |
| Release | : 2012-07-09 |
| Genre | : Social Science |
| ISBN | : 111823457X |
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.
| Author | : Alan Bryman |
| Publisher | : Routledge |
| Total Pages | : 319 |
| Release | : 2002-09-11 |
| Genre | : Psychology |
| ISBN | : 1134543379 |
This latest edition of this best-selling textbook has been completely updated to accommodate the needs of users of SPSS Release 10 for Windows. As with previous editions, Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. They assume no previous familiarity with either statistics or computing, but take readers step-by-step through techniques, including: * Correlation * Simple and multiple regression * Multivariate analysis of variance and covariance * Factor analysis They also include a comprehensive range of exercises for further practice and cover issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. For further information or to download the book's datasets, please visit the website: http://www.routledge.com/textbooks/titles/quant10.html
| Author | : Lawrence S. Meyers |
| Publisher | : John Wiley & Sons |
| Total Pages | : 741 |
| Release | : 2013-08-12 |
| Genre | : Mathematics |
| ISBN | : 1118357019 |
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
