简介
Get the Statistics Book That's Sweeping the Nation! Appropriate for All Levels--Undergraduate to Doctorate Programs in Every Discipline! This new edition of Field's bestselling textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other places), the book forms an accessible gateway into the often intimidating world of statistics and a unique opportunity for students to ground their knowledge of statistics through the use of SPSS. The text is fully compliant with the latest release of SPSS (version 13). Key updates in Second Edition: more coverage with completely new material on non-parametric statistics, loglinear analysis, effect sizes and how to report statistical analysis; even more student-friendly features, including a glossary of key statistical terms and exercises at the end of chapters for students to work through, with datasets and answers to chapter exercises on the accompanying CD-ROM; and a larger and more easy-to-reference format: notation in each section identifies the intended level of study while the new 2-color text design enhances the features in the book and, together with the larger format, provides extra clarity throughout. - Publisher.
目录
Everything you Wanted to Know About Statistics (Well, Sort of)
Building Statistical Models
Populations and Samples
Simple Statistical Models
Frequency Distributions
Is My Sample Representative of the Population?
Linear Models
How Can We Tell If Our Model Represents the Real World?
The SPSS Environment
Versions of SPSS Getting Started
The Data Editor
The Output Viewer
The Syntax Window Saving Files Retrieving a File
Exploring Data
Parametric Data
Graphing and Screening Data
Exploring Groups of Data
Testing Whether a Distribution is Normal Testing for Homogeneity of Variance Graphing Means
Correlation
How Do We Measure Relationships?
Data Entry for Correlation Analysis
Using SPSS Graphing Relationships
The Scatterplot Bivariate Correlation
Partial Correlation
How To Report Correlation Coefficients
regression
An Introduction to Regression
Doing Simple Regression on SPSS
Interpreting a Simple Regression Multiple Regression
The Basics How Accurate Is My Regression Model?
How To Do Multiple Regression Using SPSS
Interpreting Multiple Regression
How To Report Multiple Regression Categorical Predictors and Multiple Regression
Logistic Regression
Background to Logistic Regression
What Are the Principles behind Logistic Regression?
Running the Analysis A Research Example Interpreting Logistic Regression
How To Report Logistic Regression Another Example
Testing for Multicollinearity Things That Can Go Wrong
Comparing Two Means
Revision of Experimental Research
Inputting Data and Displaying Means with Error Bar Charts
Testing Differences between Means
The t-Test
The Dependent t-Test
The Independent t-Test Between Groups or Repeated Measures?
The t-Test as a General Linear Model
What If Our Data Are Not Normally Distributed?
Comparing Several Means: Anova (GLM 1)
The Theory behind ANOVA
Running One-Way ANOVA on SPSS
Output from One-Way ANOVA
Calculating the Effect Size Reporting Results from One-Way Independent
ANOVA Violations of Assumptions in One-Way Independent
ANOVA Analysis of Covariance, ANCOVA (GLM 2)
What Is ANCOVA?
Conducting ANCOVA on SPSS Interpreting the Output from ANCOVA
ANCOVA Run as a Multiple Regression
Additional Assumptions in ANCOVA
Calculating the Effect Size Reporting Results
Factorial ANOVA (GLM 3)
Theory of Factorial ANOVA (Between Groups)
Factorial ANOVA Using SPSS Output from Factorial
ANOVA Interpreting Interaction Graphs
Calculating Effect Sizes Reporting the Results of Two-Way ANOVA
Factorial ANOVA as Regression
Repeated-Measures Designs (GLM 4)
Introduction to Repeated-Measures
Designs Theory of One-Way 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 Repeated-Measures with Several Independent Variables
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)
Mixed ANOVA on SPSS Output for Mixed Factorial
ANOVA Main Analysis Calculating Effect Sizes
Reporting the Results of Mixed
ANOVA Non-Parametric Tests
Comparing Two Independent Conditions
The Wilcoxon 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 Multivariate Analysis of Variance (MANOVA)
Introduction Similarities and Differences to ANOVA
Theory of MANOVA Assumptions of MANOVA
MANOVA on SPSS Output from MANOVA Following Up MANOVA wi
Building Statistical Models
Populations and Samples
Simple Statistical Models
Frequency Distributions
Is My Sample Representative of the Population?
Linear Models
How Can We Tell If Our Model Represents the Real World?
The SPSS Environment
Versions of SPSS Getting Started
The Data Editor
The Output Viewer
The Syntax Window Saving Files Retrieving a File
Exploring Data
Parametric Data
Graphing and Screening Data
Exploring Groups of Data
Testing Whether a Distribution is Normal Testing for Homogeneity of Variance Graphing Means
Correlation
How Do We Measure Relationships?
Data Entry for Correlation Analysis
Using SPSS Graphing Relationships
The Scatterplot Bivariate Correlation
Partial Correlation
How To Report Correlation Coefficients
regression
An Introduction to Regression
Doing Simple Regression on SPSS
Interpreting a Simple Regression Multiple Regression
The Basics How Accurate Is My Regression Model?
How To Do Multiple Regression Using SPSS
Interpreting Multiple Regression
How To Report Multiple Regression Categorical Predictors and Multiple Regression
Logistic Regression
Background to Logistic Regression
What Are the Principles behind Logistic Regression?
Running the Analysis A Research Example Interpreting Logistic Regression
How To Report Logistic Regression Another Example
Testing for Multicollinearity Things That Can Go Wrong
Comparing Two Means
Revision of Experimental Research
Inputting Data and Displaying Means with Error Bar Charts
Testing Differences between Means
The t-Test
The Dependent t-Test
The Independent t-Test Between Groups or Repeated Measures?
The t-Test as a General Linear Model
What If Our Data Are Not Normally Distributed?
Comparing Several Means: Anova (GLM 1)
The Theory behind ANOVA
Running One-Way ANOVA on SPSS
Output from One-Way ANOVA
Calculating the Effect Size Reporting Results from One-Way Independent
ANOVA Violations of Assumptions in One-Way Independent
ANOVA Analysis of Covariance, ANCOVA (GLM 2)
What Is ANCOVA?
Conducting ANCOVA on SPSS Interpreting the Output from ANCOVA
ANCOVA Run as a Multiple Regression
Additional Assumptions in ANCOVA
Calculating the Effect Size Reporting Results
Factorial ANOVA (GLM 3)
Theory of Factorial ANOVA (Between Groups)
Factorial ANOVA Using SPSS Output from Factorial
ANOVA Interpreting Interaction Graphs
Calculating Effect Sizes Reporting the Results of Two-Way ANOVA
Factorial ANOVA as Regression
Repeated-Measures Designs (GLM 4)
Introduction to Repeated-Measures
Designs Theory of One-Way 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 Repeated-Measures with Several Independent Variables
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)
Mixed ANOVA on SPSS Output for Mixed Factorial
ANOVA Main Analysis Calculating Effect Sizes
Reporting the Results of Mixed
ANOVA Non-Parametric Tests
Comparing Two Independent Conditions
The Wilcoxon 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 Multivariate Analysis of Variance (MANOVA)
Introduction Similarities and Differences to ANOVA
Theory of MANOVA Assumptions of MANOVA
MANOVA on SPSS Output from MANOVA Following Up MANOVA wi
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