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Quantitative Data Analysis With Ibm Spss 17 18 And 19


Quantitative Data Analysis With Ibm Spss 17 18 And 19
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Quantitative Data Analysis With Ibm Spss 17 18 19


Quantitative Data Analysis With Ibm Spss 17 18 19
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Author : Alan Bryman
language : en
Publisher: Routledge
Release Date : 2012-08-21

Quantitative Data Analysis With Ibm Spss 17 18 19 written by Alan Bryman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-21 with Psychology categories.


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 And 19


Quantitative Data Analysis With Ibm Spss 17 18 And 19
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Author : Alan Bryman
language : en
Publisher:
Release Date : 2011

Quantitative Data Analysis With Ibm Spss 17 18 And 19 written by Alan Bryman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


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.psypress.com/brymancramer; 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
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Author : Alan Bryman
language : en
Publisher: Routledge
Release Date : 2012-08-21

Quantitative Data Analysis With Ibm Spss 17 18 19 written by Alan Bryman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-21 with Psychology categories.


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.



Interpreting Quantitative Data With Spss


Interpreting Quantitative Data With Spss
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Author : Rachad Antonius
language : en
Publisher: SAGE
Release Date : 2003-01-22

Interpreting Quantitative Data With Spss written by Rachad Antonius and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-22 with Social Science categories.


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
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Author : Alan Bryman
language : en
Publisher: Psychology Press
Release Date : 1997-01

Quantitative Data Analysis With Spss For Windows written by Alan Bryman and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01 with Social Science categories.


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.



Performing Data Analysis Using Ibm Spss


Performing Data Analysis Using Ibm Spss
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Author : Lawrence S. Meyers
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-12

Performing Data Analysis Using Ibm Spss written by Lawrence S. Meyers and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-12 with Mathematics categories.


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.



Quantitative Data Analysis For Social Scientists


Quantitative Data Analysis For Social Scientists
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Author : Alan Bryman
language : en
Publisher: Taylor & Francis
Release Date : 1990-01-01

Quantitative Data Analysis For Social Scientists written by Alan Bryman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-01 with Analyse de variance categories.




An Introduction To Secondary Data Analysis With Ibm Spss Statistics


An Introduction To Secondary Data Analysis With Ibm Spss Statistics
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Author : John MacInnes
language : en
Publisher: SAGE
Release Date : 2016-12-05

An Introduction To Secondary Data Analysis With Ibm Spss Statistics written by John MacInnes and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Social Science categories.


Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.



Doing Quantitative Research In Education With Spss


Doing Quantitative Research In Education With Spss
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Author : Daniel Muijs
language : en
Publisher: SAGE
Release Date : 2010-12-31

Doing Quantitative Research In Education With Spss written by Daniel Muijs and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-31 with Education categories.


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
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Author : Jennifer Peat
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15

Medical Statistics written by Jennifer Peat and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Medical categories.


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.