Statistical concepts : a second course for education and the behavioral sciences / Richard G. Lomax.

Includes bibliographical references and index.

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.

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