Discovering Statistics Using IBM SPSS Statistics
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Discovering Statistics Using IBM SPSS Statistics

Discovering Statistics Using IBM SPSS Statistics

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About the Book

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® 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® 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® 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® 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.

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


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Product Details
  • ISBN-13: 9781446249185
  • Publisher: SAGE Publications Ltd
  • Publisher Imprint: Sage Publications Ltd
  • Edition: Revised edition
  • Language: English
  • Returnable: N
  • Width: 195 mm
  • ISBN-10: 1446249182
  • Publisher Date: 31 Mar 2013
  • Binding: Paperback
  • Height: 265 mm
  • No of Pages: 952
  • Weight: 2000 gr


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Discovering Statistics Using IBM SPSS Statistics
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