Reading Statistics and Research, 5th Edition

<>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.

1   The Typical Formal of a Journal Article         

2   Descriptive Statistics: The Univariate Case                            

3   Bivariate Correlation         

4   Reliability and Validity         

5   Foundations of Inferential Statistics         

6   Estimation         

7   Hypothesis Testing         

8   Effect Size, Power, CIs, and Bonferroni         

9   Statistical Inferences Concerning Bivariate Correlation Coefficients         

10  Inferences Concerning One or Two Means         

11  Tests on Three or More Means Using a One-Way ANOVA         

12  Post Hoc and Planned Comparisons         

13  Two-Way Analyses of Variance         

14  Analyses of Variance With repeated Measures         

15  The Analysis of Covariance         

16  Bivariate, Multiple, and Logistic Regression         

17  Inferences on Percentages, Proportions, and Frequencies         

18  Statistical Tests on Ranks (Nonparametric Tests)         

19      The Quantitative Portion of Mixed Methods Studies