Reading Statistics and Research: Pearson New International Edition

Series
Pearson
Author
Schuyler W. Huck  
Publisher
Pearson
Cover
Softcover
Edition
6
Language
English
Total pages
508
Pub.-date
November 2013
ISBN13
9781292041407
ISBN
1292041404
Related Titles


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Description

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.comReading Statistics and Research gives readers the knowledge and confidence they need to understand, evaluate, and write research reports. 

Features

While instructing its readers on how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports, the text methodically presents basic statistical and research concepts and illustrates how to employ them in making sound educational decisions.

 

Key topic areas introduced 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).

 

Additionally, new 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. Dispersed throughout the text are 488 boxed features featuring excerpts that are completely new to this edition, utilizing accounts from the most contemporary research reports out today. New, re-written chapters cover Multivariate Tests (Chapter 19), Factor Analysis (Chapter 20), and Structural Equation Modeling (Chapter 21).

 

New to this Edition

NEW! All 488 boxed excerpts, found throughout the text and taken from current research reports are 1) completely new to this edition, and 2) feature accounts from the most contemporary research reports out today.

 

NEW! Chapter 19 on Multivariate Tests covering means (i.e., ANOVA and ANCOVA) and supporting the fact that more and more researchers today are using these types of assessments.

 

NEW! Chapter 20 has been completely re-written to cover Factor Analysis in order to give readers an understanding of the subject matter, presenting the important new topic in research, “structural equation modeling.”

 

NEW! Chapter 21 on Structural Equation Modeling (SEM), the valuable new tool being used by many researchers in the social sciences today, is covered in a completely revised and re-written chapter.  

 

NEW! Chapter 16 explains the differences of “Moderated” and “Mediated” Multiple Regression in great detail and why the differences matter.

 

NEW! Chapter content covers a myriad of mini-topics related to research and statistics–such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Mini-topics are dispersed throughout the text in appropriate places to give readers a better grasp at understanding the material, and ultimately deciphering and critiquing research reports on their own.

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