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Winsorize
Winsorization is one method of handling outliers in a distribution of data and giving the distribution more desirable statistical properties. To Winsorize, one converts the values of data points that are outlyingly high to the value of the highest data point not considered to be an outlier. For example, if a survey item on respondents’ number of past-year sexual partners yielded substantial frequencies of answers of 0, 1, 2, 3, 5, 7, and 10 and one answer of 100, then Winsorization would convert the 100 to 10. The outlyingly high values are reduced in magnitude (or reined in) to a value that is still large but not as extreme. An analogous procedure can also handle outliers at the low end of the distribution; these values ...
- Bayesian Statistics
- Descriptive Statistics
- Central Tendency, Measures of
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- Cohen’s f Statistic
- Correspondence Analysis
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- Winsorize
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- Data Visualization
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- “Coefficient Alpha and the Internal Structure of Tests”
- “Convergent and Discriminant Validation by the Multitrait–Multimethod Matrix”
- “Meta-Analysis of Psychotherapy Outcome Studies”
- “On the Theory of Scales of Measurement”
- “Probable Error of a Mean, The”
- “Psychometric Experiments”
- “Sequential Tests of Statistical Hypotheses”
- “Structural Holes: The Social Structure of Competition”
- “Technique for the Measurement of Attitudes, A”
- “Validity”
- Aptitudes and Instructional Methods
- Doctrine of Chances, The
- Logic of Scientific Discovery, The
- Nonparametric Statistics for the Behavioral Sciences
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- Statistical Power Analysis for the Behavioral Sciences
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- Teoria Statistica Delle Classi e Calcolo Delle Probabilità
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- Multiple Comparison Tests
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- Omnibus Tests
- Pairwise Comparisons
- Path Analysis
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- Predictive Discriminant Analysis
- Principal Components Analysis
- Propensity Score Analysis
- Scheffé Test
- Sequential Analysis
- Sign Test
- Stepwise Model Selection
- Stepwise Regression
- Structural Equation Modeling
- Survival Analysis
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- Tukey’s Honestly Significant Difference
- Welch’s t Test
- Wilcoxon Rank Sum Test
- Yates’s Correction
- Statistical Tests
- F Test
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- t Test, Paired Samples
- z Test
- Bartlett’s Test
- Behrens–Fisher t’ Statistic
- Chi-Square Test
- Cochran–Armitage Test for Trend
- Duncan’s Multiple Range Test
- Dunnett’s Test
- Fisher’s Least Significant Difference Test
- Friedman Test
- Hosmer-Lemeshow Test
- Kolmogorov–Smirnov Test
- Kruskal–Wallis Test
- Mann–Whitney U Test
- Mauchly Test
- McNemar’s Test
- Multiple Comparison Tests
- Newman–Keuls Test
- Omnibus Tests
- Scheffé Test
- Sign Test
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- Welch’s t Test
- Wilcoxon Rank Sum Test
- Structural Equation Modeling
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