Author: Robert Carver
Publisher:
ISBN: 9780170991902
Category :
Languages : en
Pages :
Book Description
SPSS Local Version for Bundles + Doing Data Analysis with SPSS Version 14 with CD + Research Methods and Statistics in Criminal Justice
Author: Robert Carver
Publisher:
ISBN: 9780170991902
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780170991902
Category :
Languages : en
Pages :
Book Description
Business Research Methods and Statistics Using SPSS
Author: Robert P Burns
Publisher: SAGE
ISBN: 1446204766
Category : Business & Economics
Languages : en
Pages : 557
Book Description
Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
Publisher: SAGE
ISBN: 1446204766
Category : Business & Economics
Languages : en
Pages : 557
Book Description
Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
A Handbook of Statistical Analyses Using SPSS
Author: Sabine Landau
Publisher: Chapman and Hall/CRC
ISBN: 9781135440060
Category : Mathematics
Languages : en
Pages : 354
Book Description
A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.
Publisher: Chapman and Hall/CRC
ISBN: 9781135440060
Category : Mathematics
Languages : en
Pages : 354
Book Description
A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.
Research Methods in Human Development
Author: Paul C. Cozby
Publisher: WCB/McGraw-Hill
ISBN:
Category : Psychology
Languages : en
Pages : 300
Book Description
For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or.
Publisher: WCB/McGraw-Hill
ISBN:
Category : Psychology
Languages : en
Pages : 300
Book Description
For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or.
Research Methods in Criminal Justice and Criminology
Author: Callie Marie Rennison
Publisher: SAGE Publications
ISBN: 1071815369
Category : Social Science
Languages : en
Pages : 656
Book Description
Research Methods in Criminal Justice and Criminology connects key concepts to real field research and practices using contemporary examples and recurring case studies throughout the book that demonstrate how concepts relate to students’ lives. Authors Callie M. Rennison and Timothy C. Hart introduce practical research strategies used in criminal justice to show students how a research question can become a policy that changes or influences criminal justice practices. The book’s student-driven approach addresses both the "why" and the "how" as it covers the research process and focuses on the practical application of data collection and analysis. By demonstrating the variety of ways research can be used, and reinforcing the need to discern quality research, the book prepares students to become critical consumers and ethical producers of research. The Second Edition includes two new case studies woven throughout, and new expert profiles to highlight contemporary topics. Editable PowerPoint slides and a test bank are available to instructors.
Publisher: SAGE Publications
ISBN: 1071815369
Category : Social Science
Languages : en
Pages : 656
Book Description
Research Methods in Criminal Justice and Criminology connects key concepts to real field research and practices using contemporary examples and recurring case studies throughout the book that demonstrate how concepts relate to students’ lives. Authors Callie M. Rennison and Timothy C. Hart introduce practical research strategies used in criminal justice to show students how a research question can become a policy that changes or influences criminal justice practices. The book’s student-driven approach addresses both the "why" and the "how" as it covers the research process and focuses on the practical application of data collection and analysis. By demonstrating the variety of ways research can be used, and reinforcing the need to discern quality research, the book prepares students to become critical consumers and ethical producers of research. The Second Edition includes two new case studies woven throughout, and new expert profiles to highlight contemporary topics. Editable PowerPoint slides and a test bank are available to instructors.
IBM SPSS by Example
Author: Alan C. Elliott
Publisher: SAGE Publications
ISBN: 1483319040
Category : Social Science
Languages : en
Pages : 278
Book Description
The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Publisher: SAGE Publications
ISBN: 1483319040
Category : Social Science
Languages : en
Pages : 278
Book Description
The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.
Doing Quantitative Research in Education with SPSS
Author: Daniel Muijs
Publisher: SAGE
ISBN: 144624234X
Category : Education
Languages : en
Pages : 266
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.
Publisher: SAGE
ISBN: 144624234X
Category : Education
Languages : en
Pages : 266
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.
Making Sense of Statistical Methods in Social Research
Author: Keming Yang
Publisher: SAGE
ISBN: 1446205592
Category : Social Science
Languages : en
Pages : 218
Book Description
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.
Publisher: SAGE
ISBN: 1446205592
Category : Social Science
Languages : en
Pages : 218
Book Description
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.
Using R for Introductory Statistics
Author: John Verzani
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Best Practices in Data Cleaning
Author: Jason W. Osborne
Publisher: SAGE
ISBN: 1412988012
Category : Mathematics
Languages : en
Pages : 297
Book Description
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Publisher: SAGE
ISBN: 1412988012
Category : Mathematics
Languages : en
Pages : 297
Book Description
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.