Statistical Reasoning for the Behavioral SciencesAccording to Richard Shavelson, the goal of any good statistics book is for readers not only to learn the meaning of statistical concepts but also to be able to use these concepts to solve problems. This new, revised edition of Statistical Reasoning is written with a two-pronged objective: conceptual and procedural knowledge of statistics. |
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Contents
Reasoning Behind Statistical Inference | 209 |
SECTION V | 312 |
Statistical Tests for BetweenSubjects Designs | 331 |
Copyright | |
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achievement aggressive boys alternative hypothesis assumption average belief scores between-subjects calculated cell Chapter class interval column Computation confidence interval control group correlation coefficient covariate critical value cumulative frequency degrees of freedom dependent descriptive statistics deviation scores differences between means distribution of means equal estimate exam scores Example Problem expected frequencies experimental group factor Figure Formula frequency distribution grades independent variable interaction interpretation measure median normal distribution null and alternative null hypothesis number of subjects observed one-tail one-way ANOVA outcome population mean post hoc comparisons predicted pretest probability Procedure proportion provides random sample randomly assigned ranks RBANOVA reject H0 reject the null relationship relative frequency represent sample data sample mean sampling distribution SAT scores scatterplot score value scores falling self-concept SPANOVA specified SPSS standard deviation standard error statistical test step summary sums of squares tion treatment effect Tukey's within-subjects zero