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Edition: |
3rd ed. / Schuyler W. Huck. |
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Description: |
xx, 700 pages : illustrations ; 24 cm |
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Bibliography Note: |
Includes bibliographical references and index. |
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Contents Note: |
Contents: Chapter 1. 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 -- Key Concept Behind Correlation: Relationship -- Scatter Diagrams -- Correlation Coefficient -- Correlation Matrix -- Different Kinds of Correlational Procedures -- Warnings About Correlation -- Chapter 4. Reliability and Validity -- Meaning of Reliability and Reliability Coefficients -- Different Approaches to Reliability -- Interrater Reliability -- Standard Error of Measurement -- Warnings About Reliability -- Relationship Between Reliability and Validity -- Different Kinds of Validity -- Warnings About Validity Claims -- Chapter 5. Foundations of Inferential Statistics -- Statistical Inference -- ^ Concepts of Statistic and Parameter -- Types of Samples -- 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 -- Ordered List of the Six Steps -- Detailed Look at Each of the Six Steps -- Failing-to-Reject H[subscript 0] versus Accepting H[subscript 0] -- "Backwards" Nature of Hypothesis Testing -- Chapter 8. Hypothesis Testing -- Part II -- Seven-Step Version of Hypothesis Testing -- 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] -- Component Parts of Significance Testing -- ^ |
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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 -- 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 -- Purpose of a One-Way ANOVA -- Distinction Between a One-Way ANOVA and Other Kinds of ANOVAs -- 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 -- Null Hypotheses of a Post Hoc Investigation -- Presentation of Results -- 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 -- "Structure" of a Two-Way ANOVA -- Three Research Questions -- 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 -- Inflated Type I Error Rate in Factorial ANOVAs |
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Few Warnings Concerning Two-Way ANOVAs -- Chapter 15. Three-Way Analyses of Variance -- Labels Denoting Use of the Three-Way ANOVA -- Data Layout -- Samples and Populations -- Seven Questions Concerning Main and Interaction Effects -- Presentation of Results -- 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. Analysis of Covariance -- Three Different Kinds of Variables Involved in Any ANCOVA Study -- Covariate's Role -- Null Hypotheses -- Focus, Number, and Quality of the Covariate Variable(s) -- Presentation of Results -- 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 -- Sign Test -- 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 -- Cochran Q Test -- Use of z-Tests When Dealing with Proportions -- Few Final Thoughts -- Chapter 21. Statistical Tests on Ranks (Nonparametric Tests) -- Obtaining Ranked Data -- Reasons for Converting Scores on a Continuous Variable into Ranks -- Median Test -- Mann-Whitney U Test -- Kruskal-Wallis H Test -- Wilcoxon Matched-Pairs Signed-Ranks Test -- Friedman's Two-Way Analysis of Variance of Ranks -- Large-Sample Versions of the Tests on Ranks -- Ties -- Relative Power of Nonparametric Tests. |
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Summary, Etc. Note: |
Summary: The text is also useful for applied researchers who need advice on how to analyze their own data and summarize their empirical findings. Students in education and other disciplines need to learn how to interpret and use statistics and research, but often they do not have any way to begin this process. This text clearly and methodically presents basic statistical and research concepts and illustrates how to employ them in making sound educational decisions. Excerpts from more than 500 recent research articles are presented, analyzed, and discussed to illustrate concepts, while numerous cases, terms, and review questions help guide the discussion. |