757Index
2 3 2 tables, 147
2 3 5 factorial, 415
abscissa, 69
accuracy of prediction
errors of prediction as a function of r, 261
r^2 and the standard error of estimate, 260
r^2 as a measure of predictable variability, 261
standard deviation as a measure of error, 258
the standard error of estimate, 258
additional predictors, 527–529
standardized regression coefficients, 528–529
additive law of probability, 115
additive linear model, 637
additive model, 638
additive rule, 114–115
additivity of simple effects, 426
adjacent values, 49
adjusted correlation coefficient (radj), 253
adjusted means, 600
adjusted r, 252
adjusted sum of squares, 604
adjusted Ymeans, 600
Akaike’s Information Criterion (AIC), 546
algebraic mean, 636
all subsets regression, 547–548
alpha, 97
alternative correlational techniques, 293–311
analysis of contingency tables with ordered
variables, 306–309
biserial and tetrachoric correlation: non-Pearson
correlation coefficients, 303
correlation coefficients for ranked data, 303–306
Kendall’s coefficient of concordance (W), 309–311
point-biserial correlation and Phi, Pearson correlations by
another name, 294–303
alternative experimental designs, 621–622
alternative interpretation of partial and semipartial
correlation, 537–538
alternative view of hypothesis testing, 102–114
alternative way to think of power, 351–353
analysis of contingency tables with ordered variables, 306–309
analysis of covariance, 598
analysis of variance (ANOVA), 318
applied to the effects of smoking, 426–428
on covariate, 607
versus multiple regression, 580
analysis of variance (ANOVA) with unequal
sample sizes, 593–597
testing the interaction effects, 597
testing the main effects, 597–598
analysis of variance and covariance as general
linear models, 579–622
alternative experimental designs, 621–622
analysis of variance with unequal sample sizes, 593–595
effect size computation in an analysis of
covariance, 609–611
factorial analysis of covariance, 612–621
factorial designs, 586–593
general linear model, 580–583
interpreting an analysis of covariance, 611–612
multiple covariates, 621
one-way analysis of covariance, 598–608
one-way analysis of variance, 583–586
reporting the results of an analysis of covariance, 612