| Description |
546 pages |
| Contents |
Chapter 1. The Typical Format of Journal Articles -- Chapter 2. Descriptive Statistics: The Univariate Case -- Picture Techniques -- Distributional Shape -- Measures of Central Tendency -- Measures of Variability -- Standard Scores -- Chapter 3. Bivariate Correlation -- The Key Concept Behind Correlation: Relationship -- Scatter Diagrams -- The Correlation Coefficient -- The Correlation Matrix -- Different Kinds of Correlational Procedures -- Warnings About Correlation -- Chapter 4. Reliability and Validity -- The Meaning of Reliability and Reliability Coefficients -- Different Approaches to Reliability -- Interrater Reliability -- The Standard Error of Measurement -- Warnings About Reliability -- The Relationship Between Reliability and Validity -- Different Kinds of Validity -- Warnings About Validity Claims -- Chapter 5. Foundations of Inferential Statistics -- Statistical Inference -- The Concepts of Statistic and Parameter -- Types of Samples -- The Problems of Low Response Rate, Refusals to Participate, and Attrition -- Chapter 6. Estimation -- Sampling Error -- Sampling Distributions and Standard Errors -- Confidence Intervals -- Point Estimation -- Warnings Concerning Interval and Point Estimation -- Chapter 7. Hypothesis Testing--Part I -- An Ordered List of the Six Steps -- A Detailed Look at Each of the Six Steps -- Failing-to-Reject H[subscript 0] versus Accepting H[subscript 0] -- The "Backwards" Nature of Hypothesis Testing -- Chapter 8. Hypothesis Testing--Part II -- The Seven-Step Version of Hypothesis Testing -- The Nine-Step Version of Hypothesis Testing -- Hypothesis Testing Using Confidence Intervals -- Adjusting for an Inflated Type I Error Rate -- Chapter 9. Statistical Testing and the Hybrid Approach to Testing H[subscript 0] -- The Component Parts of Significance Testing -- Significance Testing Using "p-Less-Than" and "p-Greater-Than" Statements -- A Popular Hybrid: Significance Testing with an [alpha]-Level -- Chapter 10. Statistical Inferences Concerning Bivariate Correlation Coefficients -- Statistical Tests Involving a Single Correlation Coefficient -- Tests on Many Correlation Coefficients (Each of Which Is Treated Separately) -- Tests of Reliability and Validity Coefficients -- Statistically Comparing Two Correlation Coefficients -- The Use of Confidence Intervals Around Correlation Coefficients -- Chapter 11. Inferences Concerning One or Two Means -- Inferences Concerning a Single Mean -- Inferences Concerning Two Means -- Multiple Dependent Variables -- Power Analysis and Strength-of-Effect Estimation -- Underlying Assumptions -- Chapter 12. Tests on Three or More Sample Means Using a One-Way ANOVA -- The Purpose of a One-Way ANOVA -- The Distinction Between a One-Way ANOVA and Other Kinds of ANOVAs -- The One-Way ANOVA's Null and Alternative Hypotheses -- Presentation of Results -- Assumptions of a One-Way ANOVA -- Statistical Significance Versus Practical Significance -- Tips for Deciphering/Critiquing Research Results Based on One-Way ANOVAs -- Chapter 13. Post Hoc and Planned Comparisons -- Post Hoc Comparisons -- Test Procedures Frequency Used in Post Hoc Analyses -- The Null Hypotheses of a Post Hoc Investigation -- Presentation of Results -- The Bonferroni Procedure as a Post Hoc Technique -- Planned Comparisons -- Planned Comparisons Used with a One-Way ANOVA -- Chapter 14. Two-Way Analyses of Variance -- Similarities Between One-Way and Two-Way ANOVAs -- The "Structure" of a Two-Way ANOVA -- Three Research Questions -- The Three Null Hypotheses (and Three Alternative Hypotheses) -- Presentation of Results -- Follow-Up Tests -- Planned Comparisons -- Assumptions Associated with a Two-Way ANOVA -- Effect Size Indices, Strength-of-Association Measures, and Power Analyses in Two-Way ANOVAs -- The Inflated Type I Error Rate in Factorial ANOVAs -- A Few Warnings Concerning Two-Way ANOVAs -- Chapter 15. Three-Way Analyses of Variance -- Labels Denoting Use of the Three-Way ANOVA -- The Data Layout -- Samples and Populations -- Seven Questions Concerning Main and Interaction Effects -- Presentation of Results -- A Few Warnings Concerning Three-Way ANOVAs -- Chapter 16. Fully Repeated Measures Analyses of Variance -- One-Way Repeated Measures ANOVAs -- Two-Way Repeated Measures ANOVAs -- Fully Repeated Measures Three-Factor ANOVAs -- Chapter 17. Mixed ANOVAs -- Two-Way Mixed ANOVAs -- Three-Way Mixed ANOVAs -- Chapter 18. The Analysis of Covariance -- Three Different Kinds of Variables Involved in Any ANCOVA Study -- The Covariate's Role -- Null Hypotheses -- The Focus, Number, and Quality of the Covariate Variable(s) -- Presentation of Results -- The Statistical Basis for ANCOVA's Power Advantage and Adjustment Feature -- Assumptions -- ANCOVA Used with Intact Groups -- Related Issues -- Chapter 19. Bivariate, Multiple, and Logistic Regression -- Bivariate Regression -- Multiple Regression -- Logistic Regression -- Chapter 20. Inferences on Percentages, Proportions, and Frequencies -- The Sign Test -- The Binomial Test -- Fisher's Exact Test -- Chi-Square Tests: An Introduction -- Three Main Types of Chi-Square Tests -- Issues Related to Chi-Square Tests -- McNemar's Chi Square -- The Cochran Q Test -- Use of z-Tests When Dealing with Proportions -- A Few Final Thoughts -- Chapter 21. Statistical Tests on Ranks (Nonparametric Tests) -- Obtaining Ranked Data -- Reasons for Converting Scores on a Continuous Variable into Ranks -- The Median Test -- The Mann-Whitney U Test -- The Kruskal-Wallis H Test -- The Wilcoxon Matched-Pairs Signed-Ranks Test -- Friedman's Two-Way Analysis of Variance of Ranks -- Large-Sample Versions of the Tests on Ranks -- Ties -- The Relative Power of Nonparametric Tests |
| Notes |
Licence conditions preclude Library use of accompanying CDROM/DVDROM/Website |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Statistics.
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Research.
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Experimental design.
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| LC no. |
2003041906 |
| ISBN |
0205380816 |
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