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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 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 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 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 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
Supplements
After many years doing research and teaching on research methods, even if the examples in the book are not just in the field of health sciences, I have finally found a book that contains both theoretical details of statistics along with how to practically perform tests on SPSS. Something that attracted my attention was the use of colourful images and figures and even the colourful text.
This book really recommended to anyone who is going to work with SPSS and also understand why and how to use it. Thanks to the author!
Nursing, Nord University
April 12, 2024
Summarizing:
- The chapters do not follow the usual sequence from simpler to more complex in Statistics textbooks.
- Most chapters dedicate very little to explain how to use SPSS for each type of problem, from the data entry to the interpretation of results.
- The attempt to use colloquial conversation for explanations is more a distraction than a facilitator of understanding.
-The use of some cartoon-like images through the chapters is distracting; it does not add to the comprehension of concepts.
LMS Administration, Bowie State University
March 7, 2024
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
March 27, 2024