Statistical concepts : a second course for education and the behavioral sciences /
Κύριος συγγραφέας: | |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Mahwah, N.J. :
L. Erlbaum Associates,
�1998.
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Θέματα: | |
Διαθέσιμο Online: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24271 |
Πίνακας περιεχομένων:
- Simple linear regression
- Introduction to the concepts of simple linear regression
- The population simple linear regression equation
- The sample simple linear regression equation
- Multiple regression
- Partial and semipartial correlations
- Multiple linear regression
- Variable selection procedures
- Nonlinear regression
- One-factor analysis of variance--fixed-effects model
- Characteristics of the one-factor anova model
- The layout of the data
- Anova theory
- The anova model
- Expected mean squares
- Assumptions and violation of assumptions
- The unequal NS or unbalanced procedure
- The Kruskal-Wallis one-factor analysis of variance
- The relationship of anova to regression analysis
- Multiple-comparison procedures
- Concepts of multiple comparison procedures
- Selected multiple comparison procedures
- Factorial analysis of variance--fixed-effects model
- The two-factor anova model
- Three-factor and higher order anova
- Factorial anova with unequal NS
- Introduction to analysis of covariance: the one-factor fixed-effects model with a single covariate
- Characteristics of the model
- The layout of the data
- The ancova model
- The ancova summary table
- Computation of sums of squares
- Adjusted means and multiple comparison procedures
- Assumptions and violation of assumptions
- An example
- Relationship of ancova and regression analysis
- Using statistical packages
- Ancova without randomization
- More complex ancova models
- Nonparametric ancova procedures.