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Post Hoc Comparisons
Post hoc comparisons among sample means from three or more groups are generally performed only after obtaining a significant omnibus F when we use an ANOVA. After we find the various means are not all equal, the second step is using post hoc comparisons ...
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- Babbage, Charles
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- Bonferroni, Carlo Emilio
- Bruno, James Edward
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- Fisher, Ronald Aylmer
- Galton, Sir Francis
- Gauss, Carl Friedrich
- Gresham, Frank M.
- Jackson, Douglas N.
- Malthus, Thomas
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- Ockham's Razor
- Pairwise Comparisons
- Post Hoc Comparisons
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- Sample Size
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- Significance Level
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- Hierarchical Linear Modeling
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- Inferential Statistics
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- Markov, Andrei Andreevich
- Null Hypothesis Significance Testing
- Pairwise Comparisons
- Part and Partial Correlations
- Repeated Measures Analysis of Variance
- Type I Error
- Type II Error
- Wilcoxon, Frank
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- Attributable Risk
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- Bonferroni Test
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- Chi-Square Test for Goodness of Fit
- Chi-Square Test for Independence
- Classification and Regression Tree
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- Delta Method
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- Discriminant Analysis
- Dissimilarity Coefficient
- Dixon Test for Outliers
- Dunn's Multiple Comparison Test
- Eigendecomposition
- Eigenvalues
- EM Algorithm
- Exploratory Data Analysis
- Factor Analysis
- Factor Scores
- Fisher Exact Probability Test
- Fisher's LSD
- Friedman Test
- Goodness-of-Fit Tests
- Grounded Theory
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Meta-Analysis
- Multiple Comparisons
- Multiple Factor Analysis
- Multiple Imputation for Missing Data
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- Observational Studies
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
- Path Analysis
- Peritz Procedure
- Scan Statistic
- Shapiro-Wilk Test for Normality
- Structural Equation Modeling
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- Three-Card Method
- Tukey-Kramer Procedure
- Wilcoxon Signed Ranks Test
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- Binomial Test
- Bonferroni Test
- Bowker Procedure
- Chi-Square Test for Goodness of Fit
- Chi-Square Test for Independence
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- Dixon Test for Outliers
- Dunn's Multiple Comparison Test
- Excel Spreadsheet Functions
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- Fisher's LSD
- Friedman Test
- Goodness-of-Fit Tests
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Multiple Comparisons
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- One- and Two-Tailed Tests
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
- Peritz Procedure
- Repeated Measures Analysis of Variance
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- Wechsler Preschool and Primary Scale of Intelligence
- West Haven-Yale Multidimensional Pain Inventory
- Woodcock Johnson Psychoeducational Battery
- Woodcock Reading Mastery Tests Revised
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