Reading Statistics and ResearchReading Statistics and Research, Fifth EditionBy Schuyler W. Huck 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. Features of this text include:
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Contents
The Typical Format of a Journal Article | 1 |
The Univariate Case | 19 |
Bivariate Correlation | 48 |
Copyright | |
22 other sections not shown
Common terms and phrases
alpha level analysis of variance ANOVA summary table assess associated assumption calculated value cell means chapter chi-square test compared comparison groups computed conducted confidence interval considered correlation coefficient covariate variable critical value data set database of ContentSelect dependent variable distribution effect size error risk estimation evaluate example Excerpt F-test F-value factor gender hypothesis testing hypothesis testing procedure illustrate independent indicated inferential interaction involved kind label level of significance locus of control logistic regression main effect means median multiple regression null hypothesis one-way ANOVA p-value parameter participants planned comparisons population means post hoc investigation power analysis Psychology random regression equation rejected relationship repeated measures ANOVA Research Navigator Research Navigator.com research reports researcher's sample data sample means sample statistic scatter diagram scores Source standard deviation standard error statistical focus statistically significant study's technique tion two-way ANOVA Type I error version of hypothesis within-subjects