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Discovering Statistics Using IBM SPSS Statistics
Sixth Edition
- Andy Field - University of Sussex, UK
Additional resources:
Courses:
Intermediate/Advanced Statistics | Introduction to Statistics | Introduction to Statistics | Quantitative Data Analysis | Quantitative Data Analysis | Quantitative Methods | Quantitative Methods | Quantitative Research Methods in Education | Quantitative Research Methods in Education | Quantitative/Statistical Research in Business & Management | Quantitative/Statistical Research in Business & Management | Statistical Software | Statistical Software | Statistics - General Interest | Statistics - General Interest | Statistics in Political Science | Statistics in Psychology | Statistics in Psychology | Statistics in Social Work | Statistics in Sociology
Intermediate/Advanced Statistics | Introduction to Statistics | Introduction to Statistics | Quantitative Data Analysis | Quantitative Data Analysis | Quantitative Methods | Quantitative Methods | Quantitative Research Methods in Education | Quantitative Research Methods in Education | Quantitative/Statistical Research in Business & Management | Quantitative/Statistical Research in Business & Management | Statistical Software | Statistical Software | Statistics - General Interest | Statistics - General Interest | Statistics in Political Science | Statistics in Psychology | Statistics in Psychology | Statistics in Social Work | Statistics in Sociology
February 2024 | 1 144 pages | SAGE Publications Ltd
With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.
Features:
•Flexible coverage to support students across disciplines and degree programmes
•Can support classroom or lab learning and assessment
•Analysis of real data with opportunities to practice statistical skills
•Highlights common misconceptions and errors
•A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
•Covers the range of versions of IBM SPSS Statistics©.
All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.
Features:
•Flexible coverage to support students across disciplines and degree programmes
•Can support classroom or lab learning and assessment
•Analysis of real data with opportunities to practice statistical skills
•Highlights common misconceptions and errors
•A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
•Covers the range of versions of IBM SPSS Statistics©.
All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.
Chapter 1: Why is my evil lecturer forcing me to learn statistics?
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 4: The IBM SPSS Statistics environment
Chapter 5: Data Visualisation
Chapter 6: The beast of bias
Chapter 7: Non-parametric models
Chapter 8: Correlation
Chapter 9: The Linear Model (Regression)
Chapter 10: Comparing two means
Chapter 11: Moderation and Mediation
Chapter 12: GLM 1: Comparing several independent means
Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 14: GLM 3: Factorial designs
Chapter 15: GLM 4: Repeated-measures designs
Chapter 16: GLM 5: Mixed designs
Chapter 17: Multivariate analysis of variance (MANOVA)
Chapter 18: Exploratory factor analysis
Chapter 19: Categorical outcomes: chi-square and loglinear analysis
Chapter 20: Categorical outcomes: logistic regression
Chapter 21: Multilevel linear models
Chapter 22: Epilogue
Outstanding book that walks students, step-by-step, through the process of analysis.
Department of Psychology, University of Central Lancashire
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Well written and comprehensive handbook, makes statistics approachable. Definitely recommend to my students
Physical Education, Democritus University of Thrace
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The book demonstrates statistical analysis in an easy manner for students. Each test is described and the author explains why each test should be conducted
Sports, Exercise & Life Sciences, Northampton University
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For our master’s program, we have decided to adopt *Discovering Statistics Using IBM SPSS Statistics (6th Edition)* as one of the essential textbooks. This book offers comprehensive, in-depth coverage of statistical techniques and demonstrates how to implement them in IBM SPSS. Its clear explanations, step-by-step examples, and engaging writing style make complex methods more accessible to students who are developing their data analysis skills. When paired with our other assigned text, this volume provides a robust foundation for mastering both fundamental and advanced quantitative techniques at the graduate level.
Leeds University Business School, Leeds University
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Lovely text with illustrations to aid those who are using statistics in their research project. I would recommend this as it is a visually friendly text with plenty of examples. Each chapter begins with "what will this chapter tell me" to give a quick summary of what will be covered. There are also self-tests at the end of each chapter to test knowledge."
Faculty of Health, Social Care and Education, Kingston University
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Best book for biostatistics on a MSc level available. This rework is again a step up, while the level was already so good.
We don't have a 'mandatory book' list anymore, otherwise it would be on it. We have it on the reading list with strong references to the chapters within our study manual as well.
Health, Hanze University of Applied Sciences
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Great explanations and examples. Easy to follow format. Very good for referencing too.
Department of Psychology, Buckingham University
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Too difficult language for my students.
Education, Weymouth College
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This book is written nice style that engages the reader. It provides a very comprehensive overview of statistics and practical example of how use test appropriately.
School of Nursing, Health Sciences and Disability Studies (St Angela's), Atlantic Technological University
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Just the best introductory stats text book. Comprehensive and easy to read for non-quantitatively-minded students
Faculty of Health, Education and Society, Northampton University
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