Reading statistics and research
This text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. The text is also useful for applied researchers who need advice on how to analyze their own data and summarize their empirical findings. Students in education and other disciplines need to learn how to interpret and use statistics and research, but often they do not have any way to begin this process. This text clearly and methodically presents basic statistical and research concepts and illustrates how to employ them in making sound educational decisions. Excerpts from more than 500 recent research articles are presented, analyzed, and discussed to illustrate concepts, while numerous cases, terms and review questions help guide the discussion.
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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