Part OneVariables and Descriptive Statistics
1.Names and Numbers: Types of Variables
2.Describing Data
Part TwoParametric Statistics
3.Statistical Inference
4.Comparison of Means of Two Samples: The t Test
5.Comparison Among Many Means: Analysis of Variance
6.Relationship Between Interval and Ratio Variables: Linear and
Multiple Regression
7.Analysis of Covariance
8.Variations on Linear Regression: Logistic Regression, General
Linear Model, and Hierarchical Linear Models
9.Time Series Analysis
Part ThreeNonParametric Statistics
10.Nonparametric Tests of Significance
11.Nonparametric Measures of Association
12.Advanced Nonparametric Methods
Part FourMultivariate Statistics
13.Introduction to Multivariate Statistics
14.Multivariate Analysis of Variance
15.Discriminant Function Analysis
16.Exploratory Factor Analysis
17.Path Analysis and Structural Equation Modeling
18.Cluster Analysis
19.Canonical Correlation
20.Reprise
21.Research Designs
Geoffrey Norman PhD Professor, Department of Clinical Epidemiology and Biostatics McMaster University Hamilton, Ontario David Streiner PhD Assistant Vice President, Research Director Kunin-Lunenfeld Applied Research Unit Baycreat Centre of Geriatric Care Professor, Department of Psychiatry University of Toronto Toronto, Ontario
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