Reading Statistics and Research, 6th Edition by Schuyler Huck, published by Pearson in 2012, offers a refreshingly accessible approach to understanding statistical information and research findings. This essential text empowers readers to not just read, but to truly comprehend and critically evaluate the statistical data presented in technical research reports. Through a non-intimidating writing style that prioritizes conceptual understanding over complex formulas, this edition delves into crucial topics such as descriptive statistics, correlation, reliability and validity, estimation, hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). Further enriching the content, the book explores various mini-topics including the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. A significant update in this sixth edition includes over 488 new excerpts from contemporary research reports, featuring tables, figures, and textual passages to provide real-world context. Designed for students in non-thesis Master’s programs, this book is also an invaluable resource for upper-level undergraduate statistics courses, doctoral candidates undertaking dissertation research, and independent researchers seeking to master the art of deciphering and critiquing statistically-based research. Thoroughly revised to incorporate recent advancements, Reading Statistics and Research, Sixth Edition equips readers with the knowledge and confidence to expertly navigate and analyze research reports.
- Author: Schuyler Huck
- Edition: 6th
- Publisher: Pearson
- ISBN-10: 013217863X
- ISBN-13: 978-0132178631
- Publication Date: February 24, 2011