Front cover image for Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll

Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll

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!
eBook, English, 2013
SAGE Publications Ltd, London, 2013
1 online resource (952 pages)
9781446274583, 9781446274576, 1446274586, 1446274578
1029430457
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