Statistical Methods for Practice and Research : a guide to data analysis using SPSS

1.1 Starting SPSS
1.2 SPSS Main Menus
1.3 Working with the Data Editor
1.4 SPSS Viewer
1.5 Importing and Exporting Data
Basic Statistical Concepts
2.1 Research in Behavioral Sciences
2.1.1 Qualitative Research
2.1.2 Quantitative Research
2.2 Types of Variables
2.2.1 Qualitative Variables
2.2.2 Quantitative Variables
2.3 Reliability and Validity
2.3.1 Assessing Reliability
2.3.2 Assessing Validity
2.4 Hypotihesis Testing
2.4.1 Type 1 and Type n Errors
2.4.2 Significance Level (p-value)
2.4.3 One-Tailed and Two-Tailed Tests
Summarizing Data: Descriptive Statistics
3.1 Basic Concepts
3.1.1 Measures of Central Tendency
3.1.2 Measures of Variability
3.1.3 Percentiles, Quartiles and Interquartile Range
3.1.4 Skewness
3.1.5 Kurtosis
3.2 Using SPSS
3.2.1 Descriptive Statistics
3.2.2 Frequencies
3.2.3 Tables
Comparing Means: One or Two Samples t-Tests
4.1 Basic Concepts
4.1.1 Mest and z-test
4.1.2 One Sample f-test
4.1.3 Independent Samples Mest
4.1.4 Dependent (Paired) Samples Mest
4.2 Using SPSS
4.2.1 One Sample Mest
4.2.2 Independent Samples Mest
4.2.3 Dependent Samples Mest
Comparing Mearis: Analysis of Variance
5.1 Basic Concepts
5.1.1 ANOVA Procedvire
5.1.2 Factors and Covaiiates
5.1.3 Between, Within and Mixed (Between-V\^thin) Designs
5.1.4 Main Effects and Interactions
5.1.5 Post-Hoc Multiple Comparisons
5.1.6 Contrast Analysis
5.2 Using SPSS
5.2.1 One-Way Between-Groups ANOVA
5.2.2 Unplanned and Planned Comparisons
5.2.3 Two-Way Between-Groups ANOVA
Chi-Square Test of Independence for Discrete Data
6.1 Basic Concepts
6.1.1 Chi-Square Test of Independence '
6.1.2 Contingency Tables
6.2 Using SPSS
Correlation Analysis
7.1 Basic Concepts
7.1.1 Correlation Coefficient
7.1.2 Nature of Variables
7.1.3 Bivariate/Partial Correlation
7.2 Using SPSS
7.2.1 Bivariate Correlation
7.2.2 Partial Correlation
Multiple Regression
8.1 Basic Concepts
8.1.1 Regression Coefficient
8.1.2 R Values
8.1.3 Design Issues
8.1.4 Multiple Regression lypes
8.2 Using SPSS
8.2.1 Standard Multiple Regression
8.2.2 Hierarchical Regression
Logistic Regression
9.1 Basic Concepts
9.1.1 Lx)gistic Regression Coefficients
9.1.2 Fit Indices
9.1.3 Design Issues
9.1.4 Logistic Regression Types
9.2 Using SPSS
Data Reduction and Scale Reliability: Factor Analysis
10.1 Basic Concepts
10.1.1 Factor and Component
10.1.2 E)qploratory and Confirmatory Factor Analysis
10.1.3 Extraction
10.1.4 Factor Loadings
10.1.5 Rotation
10.1.6 Communalities
10.1.7 Eigenvalue and Scree Plot
10.1.8 Scale Reliability
10.1.9 Sample Size Considerations
10.2 Using SPSS
10.2.1 Factor Analysis
10.2.2 Scale Reliability
Advanced Data Handling in SPSS
11.1 Sorting Cases
11.2 Merging Files
11.3 Aggregating Cases
11.4 Splitting Files
11.5 Selecting Cases
11.6 Receding Values
11.7 Computing New Variables1.1 Starting SPSS
1.2 SPSS Main Menus
1.3 Working with the Data Editor
1.4 SPSS Viewer
1.5 Importing and Exporting Data
Basic Statistical Concepts
2.1 Research in Behavioral Sciences
2.1.1 Qualitative Research
2.1.2 Quantitative Research
2.2 Types of Variables
2.2.1 Qualitative Variables
2.2.2 Quantitative Variables
2.3 Reliability and Validity
2.3.1 Assessing Reliability
2.3.2 Assessing Validity
2.4 Hypotihesis Testing
2.4.1 Type 1 and Type n Errors
2.4.2 Significance Level (p-value)
2.4.3 One-Tailed and Two-Tailed Tests
Summarizing Data: Descriptive Statistics
3.1 Basic Concepts
3.1.1 Measures of Central Tendency
3.1.2 Measures of Variability
3.1.3 Percentiles, Quartiles and Interquartile Range
3.1.4 Skewness
3.1.5 Kurtosis
3.2 Using SPSS
3.2.1 Descriptive Statistics
3.2.2 Frequencies
3.2.3 Tables
Comparing Means: One or Two Samples t-Tests
4.1 Basic Concepts
4.1.1 Mest and z-test
4.1.2 One Sample f-test
4.1.3 Independent Samples Mest
4.1.4 Dependent (Paired) Samples Mest
4.2 Using SPSS
4.2.1 One Sample Mest
4.2.2 Independent Samples Mest
4.2.3 Dependent Samples Mest
Comparing Mearis: Analysis of Variance
5.1 Basic Concepts
5.1.1 ANOVA Procedvire
5.1.2 Factors and Covaiiates
5.1.3 Between, Within and Mixed (Between-V\^thin) Designs
5.1.4 Main Effects and Interactions
5.1.5 Post-Hoc Multiple Comparisons
5.1.6 Contrast Analysis
5.2 Using SPSS
5.2.1 One-Way Between-Groups ANOVA
5.2.2 Unplanned and Planned Comparisons
5.2.3 Two-Way Between-Groups ANOVA
Chi-Square Test of Independence for Discrete Data
6.1 Basic Concepts
6.1.1 Chi-Square Test of Independence '
6.1.2 Contingency Tables
6.2 Using SPSS
Correlation Analysis
7.1 Basic Concepts
7.1.1 Correlation Coefficient
7.1.2 Nature of Variables
7.1.3 Bivariate/Partial Correlation
7.2 Using SPSS
7.2.1 Bivariate Correlation
7.2.2 Partial Correlation
Multiple Regression
8.1 Basic Concepts
8.1.1 Regression Coefficient
8.1.2 R Values
8.1.3 Design Issues
8.1.4 Multiple Regression lypes
8.2 Using SPSS
8.2.1 Standard Multiple Regression
8.2.2 Hierarchical Regression
Logistic Regression
9.1 Basic Concepts
9.1.1 Lx)gistic Regression Coefficients
9.1.2 Fit Indices
9.1.3 Design Issues
9.1.4 Logistic Regression Types
9.2 Using SPSS
Data Reduction and Scale Reliability: Factor Analysis
10.1 Basic Concepts
10.1.1 Factor and Component
10.1.2 E)qploratory and Confirmatory Factor Analysis
10.1.3 Extraction
10.1.4 Factor Loadings
10.1.5 Rotation
10.1.6 Communalities
10.1.7 Eigenvalue and Scree Plot
10.1.8 Scale Reliability
10.1.9 Sample Size Considerations
10.2 Using SPSS
10.2.1 Factor Analysis
10.2.2 Scale Reliability
Advanced Data Handling in SPSS
11.1 Sorting Cases
11.2 Merging Files
11.3 Aggregating Cases
11.4 Splitting Files
11.5 Selecting Cases
11.6 Receding Values
11.7 Computing New Variables