Huck S.W. Reading Statistics and Research

Addison Wesley – 2011, 592 pages, 6th Edition
ISBN: 013217863X, 9780132178631Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM).
A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Master’s Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports.
Thoroughly updated and revised to reflect advances in the field, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text, that being the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.Typical Format of a Journal Article
Descriptive Statistics: The Univariate Case
Bivariate Correlation
Reliability and Validity
Foundations of Inferential Statistics
Estimation
Hypothesis Testing
Effect Size, Power, CIs, and Bonferroni
Statistical Inferences Concerning Bivariate Correlation Coefficients
Inferences Concerning One or Two Means
Tests on Three or More Means Using a One-Way ANOVA
Post Hoc and Planned Comparisons
Two-Way Analyses of Variance
Analyses of Variance with Repeated Measures
The Analysis of Covariance
Bivariate, Multiple, and Logistic Regression
Inferences on Percentages, Proportions, and Frequencies
Statistical Tests on Ranks (Nonparametric Tests)
Multivariate Tests on Means
Factor Analysis
Structural Equation Modeling
Epilogue