Published by Pearson (October 3, 2013) © 2014
Schuyler HuckFor courses in Research Methods, Reading and Understanding Research, and Quantitative Methods/Statistics.
This uniquely accessible text shows precisely how to decipher and critique statistically-based research reports. Praised for its non-intimidating writing style, the text emphasises concepts over formulas.
The 6th edition contains 492 new excerpts drawn from recent journal articles, as well as three new chapters. Reading Statistics and Research gives readers the knowledge and confidence they need to understand, evaluate, and write research reports.
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- 1 The Typical Format 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 Multivariate Tests on Means
- 20 Factor Analysis
- 21 Structural Equation Modeling
- Epilogue