Reading Statistics and Research
This book explains to consumers of research how to read, understand, and critically evaluate the statistical information contained in technical research reports. Excerpts from over 500 recent research articles are presented and discussed to illustrate concepts. The Third Edition has been expanded to included excerpts from many more disciplines.
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The Typical Format of Journal Articles
The Univariate Case
22 other sections not shown
alpha level analysis of variance ANOVA summary table assess associated assumption behavior between-subjects bivariate calculated value cell means chapter chi-square test college students compared computed conducted confidence interval considered correlation coefficient critical value data set data-based decision dependent variable discussed distribution effect size error risk estimation evaluate example F-test fail to reject False female frequency gender hypothesis testing procedure independent indicated interaction involved kind labeled level of significance logistic regression male Mann-Whitney median mixed ANOVA null hypothesis one-way ANOVA p-value parameter participants percent planned comparisons population post hoc investigation presented Psychology question regression relationship repeated measures ANOVA research reports researcher's sample data sample means sample statistic scatter diagram searcher significance testing simply situation Source specific standard deviation standard error statistical focus statistical test statistically significant strategy study's subjects three-way ANOVA tion two-way ANOVA Type I error version of hypothesis