Reading Statistics and Research (6th Edition), Paperback, 6 Edition by Huck, Schuyler W.

Paperback: 6 Edition
9780132178631
013217863X

Publication Date: 2011-03-06
Publisher: Pearson
Paperback : 592 pages
Edition: 6 Edition
Author: Huck, Schuyler W.
ISBN-10: 013217863X
ISBN-13: 9780132178631

Product Description Employing 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. From the Back Cover Praised time and time again for its unique, non-intimidating writing style that emphasizes concepts rather than formulas, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text–the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.   Distinctive fe atures of this text include:   Instructs readers on how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports.   Covers key topic areas such as: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM).   New mini-topics related to research and statistics are also discussed including: the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test.   All 488 boxed excerpts are new and different from any previous edition and feature accounts from the most contemporary research reports out today.   New, rewritten chapters include Multivariate Tests (Chapter 19), Factor Analysis (Chapter 20), and Structural Equation Modeling (Chapter 21). About the Author Schuyler W. Huck was born in Chicago, Illinois in 1943. He attended school in two Chicago suburbs (Riverside and Glenview), receiving a high school diploma in 1961 from Glenbrook North H.S. His undergraduate work was taken at DePauw University (Greencastle, Indiana) where he graduated in 1965 with a major in psychology and a minor in sociology. He pursued a doctorate in Educational Psychology at Northwestern University (Evanston, Illinois), receiving the Ph.D. in 1970. His doctoral specialization was applied statistics, testing, and research design. In 1970, Dr. Huck joined the faculty at the University of Tennessee, Knoxville as an Assistant Professor. Affiliated with the Department of Educational and Counseling Psychology, he was promoted to Associate Professor in 1974 and to Professor in 1977. Since receiving his doctorate, Dr. Huck has taught at two other educational institutions while on leave from UT. For 10 su