Reading Statistics and ResearchThe 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. |
Contents
The Univariate Case | 19 |
Bivariate Correlation | 55 |
Reliability and Validity | 85 |
Copyright | |
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Common terms and phrases
adjusted alpha level analysis of variance ANOVA summary table assess associated assumption behavior between-subjects bivariate calculated value 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 female frequency gender H₁ hypothesis testing procedure independent indicated inferential interaction involved journal article 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 scores searcher significance testing simply situation Source specific standard deviation standard error statistical focus statistically significant strategy study's subjects three-way ANOVA tion two-way ANOVA Type I error version of hypothesis