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Discovering Statistics Using IBM SPSS Statistics Andy Field

Discovering Statistics Using IBM SPSS Statistics By Andy Field

Discovering Statistics Using IBM SPSS Statistics by Andy Field

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Summary

Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook lecturers and their students will ever need just got better!

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Discovering Statistics Using IBM SPSS Statistics Summary

Discovering Statistics Using IBM SPSS Statistics by Andy Field

With a little help from his weird band of characters the Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics.

Lecturers: with WebAssign (R) you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise!
Ideal for short courses, choose to use WebAssign (R) alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the 2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign (R) still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution.

Students please note: access to WebAssign (R) is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor.

SAGE MobileStudy - study where and when you like
Scan any QR code within the book to access revision material on a smartphone or tablet such as Cramming Sam's Study tips, flashcard glossaries, interactive multiple choice questionnaires and more.

Support materials for a wide range of disciplines
Education and Sport Sciences lecturer support materials with enhanced ones for Psychology, Business and Management and the Health Sciences on the enhanced Companion Website make the book even more relevant to a wider range of subjects across the social sciences and where statistics is taught to a cross-disciplinary audience.

Other major new updates include:

  • Now fully compatible with recent IBM SPSS Statistics releases.
  • Two new characters! Statistical cult leader Oditi provides students with access to video clips via his Lantern to help further understanding of statistical/SPSS concepts, while Confusius helps students to make better sense of statistical terms.
  • The enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and subject-specific testbanks for lecturers as well as answers to the Smart Alex tasks at the end of the each chapter; datafiles for testing problems in SPSS; flashcards of key concepts; self-assessment multiple-choice questions; and online videos of key statistical and SPSS procedures discussed in the textbook for students.

Discovering Statistics Using IBM SPSS Statistics Reviews

I think this is a really good starting point for teaching stats - from assuming students knows nothing about and taking them gradually to a more advanced understanding. The book is - very helpfully- full of interesting examples and engaging style of writing. I like it that the book has several 'levels of difficulty' and engages both with practical stats and theory. The book I believe is targeted at UG students mainly, but some chapters can be recommended to MA students on research methods courses provided that they know nothing about statistics - the book is written in a very accessible manner which means that it can satisfy the need of international students in terms of level of difficulty and language (and business programmes normally have a lot of international students at MA level). The explanations are logically organized and explained in a lucid and clear manner. Little features like 'faces' I believe would make the book more attractive to UG students. I think self-test questions and the tasks at the end of chapter are very helpful, as well as the real world data and (often humorous) examples. My course is MA so I am not adopting this book for a course as a main text, but I may recommend it to students who are completely unfamiliar with statistics. -- Maria Karepova
Andy Field has done it again. The fourth edition of Discovering Statistics will transform students who approach statistics with fear and loathing into adroit statistics users who understand key statistical concepts. Field's book is a practical 'how to' guide for conducting and understanding basic and advanced statistical analyses using IBM SPSS Statistics. The book is geared toward behavioural and social sciences researchers at all levels - from undergraduates taking their very first statistics course, to postgraduates. -- JoNell Strough * Psychology Learning and Teaching *

About Andy Field

Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics. He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials. His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010). He's done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you've ever heard of him it'll be as the 'Stats book guy'. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.

Table of Contents

Why Is My Evil Lecturer Forcing Me to Learn Statistics? What Will This Chapter Tell Me? What The Hell Am I Doing Here? I Don't Belong Here Initial Observation: Finding Something That Needs Explaining Generating Theories And Testing Them Collect Data to Test Your Theory Analyzing Data Reporting Data Everything You Never Wanted to Know about Statistics What Will This Chapter Tell Me? Building Statistical Models Populations And Samples Statistical Models Going Beyond The Data Using Statistical Models To Test Research Questions Modern Approaches toTheory Testing Reporting Statistical Models The IBM SPSS Statistics Environment What Will This Chapter Tell Me? Versions Of IBM SPSS Statistics Windows versus MacOS Getting Started The Data Editor Importing Data The SPSS Viewer Exporting SPSS Output The Syntax Editor Saving Files Retrieving A File Exploring Data with Graphs What Will This Chapter Tell Me? The Art Of Presenting Data The SPSS Chart Builder Histograms Boxplots (Box-Whisker Diagrams) Graphing Means: Bar Charts And Error Bars Line Charts Graphing Relationships: The Scatterplot Editing Graphs The Best of Bias What Will This Chapter Tell Me? What is Bias? Spotting Bias Reducing Bias Non-parametric Models What Will This Chapter Tell Me? When to Use Non-parametric Tests General Procedure on Non-parametric Tests in SPSS Comparing Teo Independent Conditions: The Wilcox Rank-sum Test and Mann-Whitney Test Comparing Two Related Conditions: the Wilcoxon Signed-rank Test Differences Between Several Independent Groups: The Kruskal-Wallis Test Differences Between Several Related Groups: Friedman's ANOVA Correlation What Will This Chapter Tell Me? Modelling Relationships Data Entry For Correlation Analysis Using SPSS Bivariate Correlation Partial Correlation Comparing Correlations Calculating The Effect Size How To Report Correlation Coefficents Regression What Will This Chapter Tell Me? An Introduction To Regression Bias in Regression Models? Regression Using SPSS: One Predictor Multiple Regression Regression With Several Predictors Using SPSS Interpreting Multiple Regression Comparing Two Means What Will This Chapter Tell Me? Looking at Differences The t-test Assumptions of the t-test The Independent t-test Using SPSS Paired-samples t-test Using SPSS Between Groups or Repeated Measures What is I Violate the Test Assumptions Moderation, Mediation and More Regression What Will This Chapter Tell Me? Installing Custom Dialog Boxes in SPSS Moderation: Interactions in Regression Mediation Categorical Predictors in Regression Comparing Several Means: ANOVA (GLM 1) What Will This Chapter Tell Me? The Theory Behind Anova Assumptions of Anova Planned Contrasts Post hoc Procedures Running One-way Anova in SPSS Output From One-way Anova Calculating the Effect Size Reporting Results From One-way Independent Anova Analysis of Covariance, ANCOVA (GLM 2) What Will This Chapter Tell Me? What Is ANCOVA? Assumptions And Issues In ANCOVA Conducting ANCOVA in SPSS Interpreting the Output From ANCOVA Testing The Assumption Of Homogeneity Of Regression Slopes Calculating The Effect Size Reporting Results Factorial ANOVA (GLM 3) What Will This Chapter Tell Me? Theory Of Factorial ANOVA (Independent Designs) Assumptions of Factorial ANOVA Factorial ANOVA using SPSS Output From Factorial ANOVA Interpreting Interaction Graphs Calculating Effect Sizes Reporting The Results Of Two-Way ANOVA Repeated-Measures Designs (GLM 4) What Will This Chapter Tell Me? Introduction To Repeated Measures Designs Theory Of One-Way Repeated-Measures ANOVA Assumptions in Repeated-Measures ANOVA One-Way Repeated Measures ANOVA Using SPSS Output For One-Way Repeated-Measures ANOVA Effect Sizes For Repeated-Measures ANOVA Reporting One-Way Repeated-Measures ANOVA Factorial Repeated-Measures Designs Output For Factorial Repeated-Measures ANOVA Effect Sizes For Factorial Repeated-Measures ANOVA Reporting The Results From Factorial Repeated-Measures ANOVA Mixed Design ANOVA (GLM 5) What Will This Chapter Tell Me? Mixed Designs Assumptions in Mixed Designs What Do Men And Women Look For In A Partner? Mixed ANOVA in SPSS Output For Mixed Factorial ANOVA Calculating Effect Sizes Reporting The Results Of Mixed ANOVA Multivariate Analysis of Variance (MANOVA) What Will This Chapter Tell Me? When To Use MANOVA Introduction Theory Of MANOVA Practical Issues When Conducting MANOVA MANOVA Using SPSS Output From MANOVA Reporting Results From MANOVA Following Up MANOVA With Discriminant Analysis Output From The Discriminant Analysis Reporting Results From from Discriminant Analysis The Final Interpretation Exploratory Factor Analysis What Will This Chapter Tell Me? When To Use Factor Analysis Factors and Components Discovering Factors Research Example Running The Analysis Interpreting Output From SPSS How To Report Factor Analysis Reliability Analysis How To Report Reliability Analysis Categorical Data What Will This Chapter Tell Me? Analysing Categorical Data Theory Of Analysing Categorical Data Assumptions When Analysing Categorical Data Doing Chi-Square in SPSS Log-Linear Analysis Using SPSS Effect Sizes In Loglinear Analysis Reporting The Results Of Loglinear Analysis Logistic Regression What Will This Chapter Tell Me? Background to Logistic Regression What are the Principles Behind Logistic Regression? Sources of Bias and Common Problems Binary Logistic Regression: An Example That Will Make You Feel Eel Interpreting Logistic Regression How to Report Logistic Regression Testing Assumptions: Another Example Predicting Several Categories: Multinominal Logistic Regression Multilevel Linear Models What Will This Chapter Tell Me? Hierarchical Data Theory Of Multilevel Linear Models The Multilevel Model Some Practical Issues Multilevel Modelling Using SPSS Growth Models How To Report A Multilevel Model A Message From The Octopus of Inescapable Despair Epilogue Nice Emails Everybody Thinks I'm A Statistician Craziness on a Grand Scale

Additional information

CIN1446249174VG
9781446249178
1446249174
Discovering Statistics Using IBM SPSS Statistics by Andy Field
Andy Field
Used - Very Good
Hardback
SAGE Publications Ltd
20130220
952
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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