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Quantitative Data Analysis with IBM SPSS 17, 18 & 19

Quantitative Data Analysis with IBM SPSS 17, 18 & 19
Author: Alan Bryman
Publisher: Routledge
Total Pages: 409
Release: 2012-08-21
Genre: Psychology
ISBN: 1136588906

Download Quantitative Data Analysis with IBM SPSS 17, 18 & 19 Book in PDF, ePub and Kindle

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.


Quantitative Data Analysis with IBM SPSS 17, 18 & 19

Quantitative Data Analysis with IBM SPSS 17, 18 & 19
Author: Alan Bryman
Publisher: Routledge
Total Pages: 410
Release: 2012-08-21
Genre: Psychology
ISBN: 1136588892

Download Quantitative Data Analysis with IBM SPSS 17, 18 & 19 Book in PDF, ePub and Kindle

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.


Quantitative Data Analysis with SPSS 12 and 13

Quantitative Data Analysis with SPSS 12 and 13
Author: Alan Bryman
Publisher: Psychology Press
Total Pages: 404
Release: 2005
Genre: Computers
ISBN: 9780415340809

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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.


Performing Data Analysis Using IBM SPSS

Performing Data Analysis Using IBM SPSS
Author: Lawrence S. Meyers
Publisher: John Wiley & Sons
Total Pages: 741
Release: 2013-08-12
Genre: Mathematics
ISBN: 1118357019

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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.


Interpreting Quantitative Data with SPSS

Interpreting Quantitative Data with SPSS
Author: Rachad Antonius
Publisher: SAGE
Total Pages: 336
Release: 2003-01-22
Genre: Social Science
ISBN: 9780761973997

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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.


Quantitative Data Analysis with SPSS for Windows

Quantitative Data Analysis with SPSS for Windows
Author: Alan Bryman
Publisher: Psychology Press
Total Pages: 313
Release: 1997-01
Genre: Social Science
ISBN: 9780415147194

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Quantitative Data Analysis with SPSS for Windows explains statistical tests using the latest version of SPSS, the most widely used computer package for analysing quantitative data. Using the same formula-free, non-technical approach as the highly successful non-windows version, it assumes no previous familiarity with either statistics or computing, and takes the reader step-by-step through each of the techniques for which SPSS for Windows can be used, including: correlation simple and multiple regression multivariate analysis of variance and covariance factor analysis The book also contains a comprehensive range of exercises with answers, and covers issues such as sampling, statistical significance, and the selection of appropriate tests.


Data Analysis in Management with SPSS Software

Data Analysis in Management with SPSS Software
Author: J.P. Verma
Publisher: Springer Science & Business Media
Total Pages: 499
Release: 2012-12-13
Genre: Social Science
ISBN: 8132207866

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This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.


Doing Quantitative Research in Education with SPSS

Doing Quantitative Research in Education with SPSS
Author: Daniel Muijs
Publisher: SAGE
Total Pages: 266
Release: 2010-12-31
Genre: Education
ISBN: 144624234X

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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.


Medical Statistics

Medical Statistics
Author: Jennifer Peat
Publisher: John Wiley & Sons
Total Pages: 336
Release: 2008-04-15
Genre: Medical
ISBN: 0470755202

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Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.