Randomization tests. (2007)

• Record Type: Book
• Other Names: Edgington, Eugene S, 1924-; Onghena, Patrick
• Contents: Statistical Tests That Do Not Require Random Sampling ; Randomization Tests; Numerical Examples; Randomization Tests and Nonrandom Samples; The Prevalence of Nonrandom Samples in Experiments; The Irrelevance of Random Samples for the Typical Experiment; Generalizing from Nonrandom Samples; Intelligibility; Respect for the Validity of Randomization Tests; Versatility; Practicality; Precursors of Randomization Tests; Other Applications of Permutation Tests; Questions and Exercises; Notes; References; Randomized Experiments ; Unique Benefits of Experiments; Experimentation without Manipulation of Treatments; Matching: A Precursor of Randomization; Randomization of Experimental Units; Experimental Units; Groups as Experimental Units; Control over Confounding Variables; Between-Subject and Within-Subject Randomization; Conventional Randomization Procedures ; Randomization Procedures for Randomization Tests; Further Reading; Questions and Exercises; Calculating P-Values ; Introduction; Systematic Reference Sets; Criteria of Validity for Randomization Tests; Randomization Test Null Hypotheses; Permuting Data for Experiments with Equal Sample Sizes; Monte Carlo Randomization Tests; Equivalent Test Statistics; Randomization Test Computer Programs; Writing Programs for Randomization Tests; How to Test Systematic Data Permutation Programs; How to Test Random Data Permutation Programs; Nonexperimental Applications of the Programs; Questions and Exercises; References; Between-Subjects Designs ; Introduction; One-Way ANOVA with Systematic Reference Sets; A Simpler Test Statistic Equivalent to F; One-Way ANOVA with Equal Sample Sizes; One-Way ANOVA with Random Reference Sets; Analysis of Covariance; One-Tailed t Tests and Predicted Direction of Difference; Simpler Equivalent Test Statistics to t ; Tests of One-Tailed Null Hypotheses for t Tests; Unequal-N One-Tailed Null Hypotheses; Fast Alternatives to Systematic Data Permutation for Independent t Tests; Independent t Test with Random Reference Sets; Independent t Test and Planned Comparisons; Independent t Test and Multiple Comparisons; Loss of Experimental Subjects; Ranked Data; Dichotomous Data; Outliers; Questions and Exercises; References; Factorial Designs ; Advantages of Randomization Tests for Factorial Designs; Factorial Designs for Completely Randomized Experiments; Proportional Cell Frequencies; Program for Tests of Main Effects; Completely Randomized Two-Factor Experiments; Completely Randomized Three-Factor Experiments; Interactions in Completely Randomized Experiments; Randomization Test Null Hypotheses and Test Statistics; Designs with Factor-Specific Dependent Variables; Dichotomous and Ranked Data; Fractional Factorial and Response Surface Designs; Questions and Exercises; References; Repeated-Measures and Randomized Block Designs ; Carry-Over Effects in Repeated-Measures Designs; The Power of Repeated-Measures Tests; Systematic Listing of Data Permutations; A Nonredundant Listing Procedure; Σt2 as an Equivalent Test Statistic to F; Repeated-Measures ANOVA with Systematic Data Permutation; Repeated-Measures ANOVA with Random Data Permutation; Correlated t Test with Systematic Data Permutation; Fast Alternatives to Systematic Data Permutation for Correlated t Tests; Correlated t Test with Random Data Permutation; Correlated t Test and Planned Comparisons; Correlated t Test and Multiple Comparisons; Rank Tests; Dichotomous Data; Counterbalanced Designs; Outliers; Factorial Experiments with Repeated Measures; Interactions in Repeated-Measures Experiments; Randomized Block Designs; Randomized Complete Blocks; Incomplete Blocks; Treatments-by-Subjects Designs; Disproportional Cell Frequencies; Test Statistic for Disproportional Cell Frequencies; Data Adjustment for Disproportional Cell Frequency Designs; Restricted-Alternatives Random Assignment; Combining P-Values; Additive Method of Combining P-Values; Combining One-Tailed and Two-Tailed P-Values; Questions and Exercises; References; Multivariate Designs ; Importance of Parametric Assumptions Underlying MANOVA; Randomization Tests for Conventional MANOVA; Custom-Made Multivariate Randomization Tests; Effect of Units of Measurement; Multivariate Tests Based on Composite z Scores; Combining t or F Values over Dependent Variables; A Geometrical Model; Tests of Differences in Composition; Evaluation of Three MANOVA Tests; Multivariate Factorial Designs; Combining Univariate and Multivariate P-Values; Questions and Exercises; References; Correlation ; Determining P-Values by Data Permutation; Computer Program for Systematic Data Permutation; Correlation with Random Data Permutation; Multivariate Correlation; Point-Biserial Correlation; Correlation between Dichotomous Variables; Spearman’s Rank Correlation Procedure; Kendall’s Rank Correlation Procedure; Questions and Exercises; References; Trend Tests ; Goodness-of-Fit Trend Test; Power of the Goodness-of-Fit Trend Test; Test Statistic for the Goodness-of-Fit Trend Test; Computation of Trend Means; Computer Program for Goodness-of-Fit Trend Test; Modification of the Goodness-of-Fit Trend Test Statistic; Correlation Trend Test; Correlation Trend Test for Factorial Designs; Disproportional Cell Frequencies; Data Adjustment for Disproportional Cell Frequency Designs; Combining of P-Values for Trend Tests for Factorial Experiments; Repeated-Measures Trend Tests; Differences in Trends; Correlation Trend Test and Simple Correlation; Ordered Levels of Treatments; Ranked and Dichotomous Data; Questions and Exercises; References; Matching and Proximity Experiments ; Randomization Tests for Matching; Randomization Tests of Proximity; Matching and Proximity Tests Based on Random Selection of Treatment Levels; Questions and Exercises; References; N-of-1 Designs ; The Importance of N-of-1 Designs; Fisher’s Lady-Tasting-Tea Experiment; The Concept of Choosing as a Random Process; Limitations of the Random Sampling Model for N-of-1 Experiments; Random Assignment Model; Carry-Over Effects ; The N-of-1 Randomization Test: An Early Model; Factorial Experiments; Randomized Blocks; Correlation; Operant Research and Treatment Blocks; ABAB Design; Random Assignment of Treatment Blocks to Treatments; Randomization Tests for Treatment Intervention; Effects of Trends; Randomization Tests for Intervention and Withdrawal; Multiple Schedule Experiments; Power of N-of-1 Randomization Tests; Replicated N-of-1Experiments; N-of-1 Clinical Trial Facilities; Single-Cell and Other Single-Unit Neuroscience Experiments; Books on N-of-1 Design and Analysis; Software for N-of-1 Randomization Tests; Questions and Exercises; References; Tests of Quantitative Laws ; Generic and Specific Null Hypotheses; The Referent of a Law or Model; Test of Incremental Effects; Weber’s Law; Other Psychophysical Laws; Foraging Behavior of Hawks; Complications; Questions and Exercises; References; Tests of Direction and Magnitude of Effect ; Tests of One-Tailed Null Hypotheses for Correlated t Tests; Other Tests of One-Tailed Null Hypotheses Using ta or (Ā -B ) as Test Statistics; Tests of One-Tailed Null Hypotheses about Differences in Variability; Tests of One-Tailed Null Hypotheses for Correlation; Testing Null Hyp
• Edition: 4th ed
• Publisher Details: Place of publication not identified : Chapman and Hall/CRC
• Publication Date: 2007
• Extent: 1 online resource, illustrations
• Subjects: 519.56; Statistical hypothesis testing
• Languages: English
• ISBNs: 9781420011814; 1420011812
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.