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Reading Statistics and Research Schuyler W. Huck

Reading Statistics and Research By Schuyler W. Huck

Reading Statistics and Research by Schuyler W. Huck

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Reading Statistics and Research Summary

Reading Statistics and Research: International Edition by Schuyler W. Huck

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.

About Schuyler W. Huck

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.

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

Additional information

CIN0132659093VG
9780132659093
0132659093
Reading Statistics and Research: International Edition by Schuyler W. Huck
Schuyler W. Huck
Used - Very Good
Paperback
Pearson Education (US)
2011-02-24
592
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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