Discovering Statistics Using IBM SPSS Statistics
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|Format:||Paperback, 952 pages, 4th Revised edition Edition|
|Published In: ||United Kingdom, 31 March 2013|
Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's bestselling Discovering Statistics Using SPSS 4th Edition, already an immensely comprehensive textbook - taking students from first principles to advanced statistical concepts, and all the while grounding knowledge through the use of SPSS - now focuses on providing essential updates, better accessibility to its key features, more instructor resources and broader reach to new student groups - with powerful new digital developments on the textbook's companion website. New to the 4th Edition - New WebAssign(R) facility. If you adopt this for use on your course it will allow you to produce and manage assignments online with your students and includes a grading facility to monitor students' progress. Students can practise questions over and over and be provided with instant feedback and links to the accompanying Ebook where correct solutions can be found - The mobile study facility encourages students equipped with smartphones and tablets to access revision material such as Cramming Sam's Study tips helping them to study when it suits them. QR codes in the textbook provide instant access - Education and Sport Sciences instructor support materials with enhanced ones for Psychology, Business and Management and the Health sciences 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. Major Updates to the 4th Edition - Fully compatible with recent SPSS releases up to and including version 21 - Exciting new characters. Statistical cult leader Oditi provides students with access to video clips to help further understanding of statistical/SPSS concepts, while Confusious helps students to make better sense of statistical terms - An enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and 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.
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 Regrassion 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
About the Author
Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 70 research papers, 27 book chapters, and 17 books mostly on child emotional development and statistics. He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods. His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats, and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoe and Fuzzy the cat.
|Publisher: ||SAGE Publications Ltd|
|Dimensions: ||26.0 x 19.0 x 3.0 centimeters (1.65 kg)|