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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll) / Andy Field.

By: Material type: TextSeries: ISM (London, England)Publication details: London ; Thousand Oaks, Calif. : Sage Publications, 2005.Edition: 2nd edDescription: xxxiv, 779 p. : ill. (some col.) ; 25 cm. + 1 CD-ROM (4 3/4 in.)ISBN:
  • 0761944524
Subject(s): DDC classification:
  • 005.55 FIE 23
LOC classification:
  • HA32 .F54 2005
Contents:
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 with Discriminant Analysis Output from the Discriminant Analysis EXPLORATORY FACTOR ANALYSIS Factors Discovering Factors Research Example Running the Analysis Interpreting Output from SPSS Reliability Analysis CATEGORICAL DATA Theory of Analyzing Categorical Data Assumptions of the Chi-Square Test Doing Chi-Square on SPSS Several Categorical Variables Log Linear Analysis Assumptions in Loglinear Analysis Loglinear Analysis Using SPSS Output from Loglinear Analysis Following Up Loglinear Analysis Effect Sizes in Loglinear Analysis Reporting the Results of Loglinear Analysis
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Includes bibliographical references (p. [762]-776) and index.

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 with Discriminant Analysis
Output from the Discriminant Analysis
EXPLORATORY FACTOR ANALYSIS
Factors
Discovering Factors
Research Example
Running the Analysis
Interpreting Output from SPSS
Reliability Analysis
CATEGORICAL DATA
Theory of Analyzing Categorical Data
Assumptions of the Chi-Square Test
Doing Chi-Square on SPSS
Several Categorical Variables
Log Linear Analysis
Assumptions in Loglinear Analysis
Loglinear Analysis Using SPSS
Output from Loglinear Analysis
Following Up Loglinear Analysis
Effect Sizes in Loglinear Analysis
Reporting the Results of Loglinear Analysis

System requirements: SPSS versions 7.0, 7.5, 8.0 and above.

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