Reading Statistics and Research
Autor Schuyler W. Hucken Limba Engleză Paperback – 31 ian 2011
Preț: 1210.21 lei
Preț vechi: 1571.70 lei
-23% Nou
Puncte Express: 1815
Preț estimativ în valută:
214.16€ • 249.74$ • 188.03£
214.16€ • 249.74$ • 188.03£
Carte tipărită la comandă
Livrare economică 15-29 ianuarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780132178631
ISBN-10: 013217863X
Pagini: 566
Dimensiuni: 185 x 231 x 33 mm
Greutate: 0.98 kg
Ediția:6
Editura: Addison Wesley Longman
ISBN-10: 013217863X
Pagini: 566
Dimensiuni: 185 x 231 x 33 mm
Greutate: 0.98 kg
Ediția:6
Editura: Addison Wesley Longman
Notă biografică
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.
Cuprins
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
Textul de pe ultima copertă
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)."