Overview

For 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 emphasizes concepts over formulas . The 6th edition contains 492 new excerpts drawn from recent journal articles, as well as three new chapters. An author-generated companion website has chapter outlines and quizzes, lists of misconceptions, links to online resources, and more.( www.readingstats.com)   Reading Statistics and Research gives readers the knowledge and confidence they need to understand, evaluate, and write research reports.  

Full Product Details

Author:   Schuyler Huck ,  Schuyler Huck
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   6th edition
Dimensions:   Width: 1.00cm , Height: 1.00cm , Length: 1.00cm
Weight:   0.790kg
ISBN:  

9780132178631

ISBN 10:   013217863
Pages:   592
Publication Date:   21 April 2011
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292041407
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Brief Contents    1          The Typical Format of a Journal Article    X    2          Descriptive Statistics: The Univariate Case    XX    3          Bivariate Correlation    XX    4          Reliability and Validity    XX    5          Foundations of Inferential Statistics    XX    6          Estimation    XXX    7          Hypothesis Testing   XXX    8          Effect Size, Power, CIs, and Bonferroni   XXX    9          Statistical Inferences Concerning Bivariate Correlation Coefficients    XXX 10          Inferences Concerning One or Two Means    XXX 11          Tests on Three or More Means Using a One-Way ANOVA    XXX 12          Post Hoc and Planned Comparisons    XXX 13          Two-Way Analyses of Variance    XXX 14          Analyses of Variance with Repeated Measures    XXX 15          The Analysis of Covariance    XXX 16          Bivariate, Multiple, and Logistic Regression    XXX 17          Inferences on Percentages, Proportions, and Frequencies    XXX 18          Statistical Tests on Ranks (Nonparametric Tests)    XXX 19          Multivariate Tests on Means    XXX 20          Factor Analysis    XXX 21          Structural Equation Modeling     XXX                 Epilogue    XXX Contents Preface    XXX                      1    The Typical Format of a Journal Article    XXX Abstract   XXX Introduction    XXX Method   XXX Results   XXX Discussion   XXX References    XXX Notes    XXX Two Final Comments    XXX Review Terms   XXX The Best Items in the Companion Website   XXX                      2    Descriptive Statistics: The Univariate Case    XXX Picture Techniques    XXX Distributional Shape   XXX Measures of Central Tendency    XXX Measures of Variability    XXX Standard Scores    XXX A Few Cautions    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                      3    Bivariate Correlation    XXX The Key Concept behind Correlation: Relationship    XXX Scatter Diagrams    XXX The Correlation Coefficient    XXX The Correlation Matrix   XXX Different Kinds of Correlational Procedures   XXX Warnings about Correlation    XXX Review Terms    XXX The Best Items in the Companion Website   XXX                      4    Reliability and Validity   XXX Reliability    XXX Validity    XXX Four Final Comments    XXX Review Terms    XXX The Best Items in the Companion Website   XXX                      5    Foundations of Inferential Statistics    XXX Statistical Inference    XXX The Concepts of Statistic and Parameter    XXX Types of Samples    XXX The Problems of Low Response Rates, Refusals to Participate, and Attrition   XXX A Few Warnings    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                      6    Estimation   XXX Interval Estimation    XXX Point Estimation    XXX Warnings Concerning Interval and Point Estimation    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                      7    Hypothesis Testing    XXX An Ordered List of the Six Steps    XXX A Detailed Look at Each of the Six Steps   XXX Results That Are Highly Significant and Near Misses    XXX A Few Cautions    XXX Review Terms   XXX The Best Items in the Companion Website    XXX                      8    Effect Size, Power, CIs, and Bonferroni    XXX The Seven-Step Version of Hypothesis Testing: Estimating Effect Size    XXX The Nine-Step Version of Hypothesis Testing: Power Analyses Hypothesis Testing Using Confidence Intervals   XXX Adjusting for an Inflated Type I Error Rate    XXX A Few Cautions    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                      9   Statistical Inferences Concerning Bivariate Correlation Coefficients    XXX Statistical Tests Involving a Single Correlation Coefficient    XXX Tests on Many Correlation Coefficients (Each of Which Is Treated Separately)    XXX Tests of Reliability and Validity Coefficients    XXX Statistically Comparing Two Correlation Coefficients    XXX The Use of Confidence Intervals around Correlation Coefficients    XXX Cautions    XXX Review Terms    XXX The Best Items in the Companion Website   XXX                   10    Inferences Concerning One or Two Means    XXX Inferences Concerning a Single Mean    XXX Inferences Concerning Two Means    XXX Multiple Dependent Variables    XXX Effect Size Assessment and Power Analyses   XXX Underlying Assumptions   XXX Comments    XXX Review Terms    XXX The Best Items in the Companion Website   XXX                   11    Tests on Three or More Means Using a One-Way ANOVA    XXX The Purpose of a One-Way ANOVA   XXX The Distinction between a One-Way ANOVA and Other Kinds of ANOVA    XXX The One-Way ANOVA’s Null and Alternative Hypotheses    XXX Presentation of Results    XXX Assumptions of a One-Way ANOVA    XXX Statistical Significance versus Practical Significance    XXX Cautions    XXX A Final Comment    XXX Review Terms   XXX The Best Items in the Companion Website    XXX                   12    Post Hoc and Planned Comparisons    XXX Post Hoc Comparisons    XXX Planned Comparisons    XXX Comments    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   13    Two-Way Analyses of Variance    XXX Similarities between One-Way and Two-Way ANOVAs   XXX The Structure of a Two-Way ANOVA   XXX Three Research Questions    XXX The Three Null Hypotheses (and Three Alternative Hypotheses)   XXX Presentation of Results    XXX Follow-Up Tests   XXX Planned Comparisons    XXX Assumptions Associated with a Two-Way ANOVA    XXX Estimating Effect Size and Conducting Power Analyses in Two-Way ANOVAs    XXX The Inflated Type I Error Rate in Factorial ANOVAs   XXX A Few Warnings Concerning Two-Way ANOVAs   XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   14    Analyses of Variance with Repeated Measures   XXX One-Way Repeated Measures ANOVAs    XXX Two-Way Repeated Measures ANOVAs   XXX Two-Way Mixed ANOVAs    XXX Three Final Comments   XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   15    The Analysis of Covariance    XXX The Three Different Variables Involved in Any ANCOVA Study    XXX The Covariate’s Role   XXX Null Hypotheses    XXX The Focus, Number, and Quality of the Covariate Variable(s)    XXX Presentation of Results    XXX The Statistical Basis for ANCOVA’s Power Advantage and Adjustment Feature    XXX Assumptions   XXX ANCOVA When Comparison Groups Are Not Formed Randomly   XXX Related Issues   XXX A Few Warnings    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   16    Bivariate, Multiple, and Logistic Regression    XXX Bivariate Regression    XXX Multiple Regression    XXX Logistic Regression    XXX Final Comments    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   17    Inferences on Percentages, Proportions, and Frequencies    XXX The Sign Test    XXX The Binomial Test    XXX Fisher’s Exact Test    XXX Chi-Square Tests: An Introduction    XXX Three Main Types of Chi-Square Tests    XXX Issues Related to Chi-Square Tests    XXX McNemar’s Chi-Square    XXX The Cochran Q Test    XXX The Use of z-Tests When Dealing with Proportions    XXX A Few Final Thoughts    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   18    Statistical Tests on Ranks (Nonparametric Tests)    XXX Obtaining Ranked Data    XXX Reasons for Converting Scores on a Continuous Variable into Ranks    XXX The Median Test    XXX The Mann-Whitney U Test    XXX The Kruskal-Wallis H Test    XXX The Wilcoxon Matched-Pairs Signed-Ranks Test    XXX Friedman’s Two-Way Analysis of Variance of Ranks    XXX Large-Sample Versions of the Tests on Ranks    XXX Ties    XXX The Relative Power of Nonparametric Tests    XXX A Few Final Comments    XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   19    Multivariate Tests on Means    XXX The Versatility of Multivariate Tests    XXX The Multivariate Null Hypothesis    XXX Testing the Multivariate Null Hypothesis    XXX Assumptions    XXX Statistical Significance and Practical Significance Post Hoc Investigations     XXX Three Final Comments     XXX Review Terms    XXX The Best Items in the Companion Website    XXX                   20    Factor Analysis     XXX The Goal (and Basic Logic) or Factor Analysis     XXX The Multivariate Null Hypothesis     XXX The Three Main Uses of Factor Analysis     XXX Exploratory and Confirmatory Factor Analysis     XXX Exploratory Factor Analysis     XXX Confirmatory Factor Analysis     XXX Assumptions     XXX Two Final Comments     XXX Review Terms     XXX The Best Items in the Companion Website     XXX                   20    Structural Equation Modeling     XXX Key Terms and Concepts of Structural Equation Modeling     XXX Elements in a Study Using Structural Equation Modeling     XXX Other Uses of SEM     XXX Issues and Considerations     XXX Review Terms     XXX The Best Items in the Companion Website     XXX   Epilogue     XXX Review Questions     XXX Answers to Review Questions     XXX Credits     XXX Index     XXX

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Author Information

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 summers between 1977 and 1986, he was employed as a Visiting Professor in the Psychology and Education Departments at the University of Nevada (Reno). From July, 1988 until July, 1989, he served as a Distinguished Visiting Professor at the United States Air Force Academy in Colorado. Over the past three decades, Professor Huck has been involved in an ongoing program of research and scholarly activity. He is the senior author of three books: (1) Reading Statistics and Research (with the 3rd edition published in 2000 by Allyn & Bacon/Longman), (2) Rival Hypotheses: Alternative Explanations for Data-Based Conclusions (published in 1979 by Harper & Row), and (3) Statistical Illusions (published in 1984 by Harper & Row); he has had 34 technical papers published in a variety of refereed journals (Teaching Statistics, Educational and Psychological Measurement, Journal of Educational Statistics, American Educational Research Journal, Journal of Educational Measurement, Psychological Bulletin, Journal of Experimental Education, Journal of Applied Psychology, Science Education, Teaching of Psychology, Mathematics Teacher, Journal of Counseling Psychology, Research Quarterly, Physiology & Behavior); and he has made over 60 oral presentations of his work at professional meetings (International Conference on Teaching Statistics, American Educational Research Association, American Psychological Association, and regional meetings affiliated with these two national organizations). In addition to making his own contributions to the professional literature, Professor Huck has been heavily involved in screening the work of others and in serving as a consultant on others' projects. He has reviewed book prospecti/full manuscripts sent to publishing companies, papers considered for possible publication in professional journals, and abstracts submitted for possible presentation at conventions. In his role as a consultant, Professor Huck has worked on several projects, including (1) test-development efforts conducted by: the American College of Veterinary Internal Medicine, the American Association of State Psychology Boards, Tennessee's State Departments of Education and Human Services, the Child Welfare Institute (Atlanta), and UT's Center for Government Training, (2) a three-year NSF research project designed to assess new procedures for helping math teachers assist students improve their creativity and problem-solving skills, and (3) a trial in which the State of Tennessee was being sued and for which Tennessee's Office of the Attorney General asked Dr. Huck to testify as an Expert Witness in the areas of testing, research design, and applied statistics. At various points in his career, Dr. Huck has received awards/recognition from students, colleagues, and administrators. While at DePauw, he received the Frank C. Tucker Award for Leadership. Early in his stay at Tennessee, the Student Government Association tapped him as one of the University's Outstanding Teachers. Soon thereafter, colleagues at UT gave him the first Annual Award for Outstanding Faculty Research in the College of Education. The major honors bestowed upon Professor Huck, however, came (1) in 1983 when he was selected to be a UT Distinguished Service Professor, a prestigious title that he holds for the duration of his stay at the University, (2) in 1988 when he was asked to serve, for a year, on the faculty at the Air Force Academy as a Distinguished Visiting Professor, (3) in 1984 and 1990 when the scholarly work of two doctoral advisees received Outstanding Dissertation Awards in national competitions conducted by AERA, (4) in 1991 when he was elected by his colleagues at other universities as President of AERA's Educational Statisticians SIG, (5) in 1993 when he was one of the first two faculty members given the title of Chancellor's Teaching Scholar, a post involving work with UT's Chancellor and other top administrators, and (6) in 1995 when the GTA Mentoring Program (a project that grew out of his idea on how to improve undergraduate education at research universities) was deemed worthy of support by UT and the Alcoa Foundation.

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