Evaluating Outlier Identification Tests: Mahalanobis D Squared and Comrey Dk.
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Summary
A Monte Carlo simulation used to compare Dk and D squared in terms of their hit and false alarm rates, their extent of overlap, and their effect on correlation coefficients resulting from outlier removal indicated that D squared had a higher hit rate than Dk with approximately the same false alarm rate.
- Type
- article
- Published
- 1988-04-01
- Cited by
- 62
- References
- 9
- OpenAlex
- https://openalex.org/W2069758262
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5592862
Keywords
Mahalanobis distance, Outlier, Identification (biology), Statistics, Artificial intelligence
References
- Outliers in Statistical Data
- Some Empirical Results Concerning the Power of Bartlett’s Test of the Significance of a Correlation Matrix
- A Method for Removing Outliers to Improve Factor Analytic Results.
- The Power of Student's t and Wilcoxon W Statistics
- Computer simulation and modeling : an introduction
- Outliers and influential data points in regression analysis.
- Residuals and Influence in Regression
- Outliers in statistical data
- Outliers and influential data points in regression analysis.
- Identification of Outliers
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- Occupational Stress in Academic life: A Study of Academics of Malaysian Public Universities
- Issues of incompleteness, outliers and asymptotics in high dimensional data
- Detecting level change outliers (LC) in GARCH (1, 1) processes
- The power of outliers (and why researchers should ALWAYS check for them)
- The relationship between corporate social performance and corporate financial performance: empirical evidence from the South African market
- Differential Impact of Web Technology on Various Dimensions of Students' Academic and Non-academic Activities (a Case Study)
- The Efficacy of Corporate Governance in Reducing Opportunistic Accounting Earnings Manipulations
- A comparative study of correlational outlier detection metrics
- Perceived Internet Usage Behaviours as Predictor to Outlier Detection in Students' Communities in Academic Environments
- Adjusting Self-Reported Attitudinal Data for Mischievous Respondents
- Assessing the fit of measurement models at the individual level: A comparison of item response theory and covariance structure approaches.
- Data Cleaning Basics: Best Practices in Dealing with Extreme Scores
- Psychometric Properties and United States National Norms of the Evidence-Based Practice Attitude Scale (EBPAS)
- Sensitivity Analysis in Structural Equation Models: Cases and Their Influence
- Detecting subject-specific activations using fuzzy clustering
- Construct and Predictive Validity of the CORE Phonics Survey: A Diagnostic Assessment for Students with Specific Learning Disabilities
- A Maximum Likelihood Approach to Correlational Outlier Identification.
- On the bias of Huffcutt and Arthur's (1995) procedure for identifying outliers in the meta-analysis of correlations.
- Discordancy Tests for Outlier Detection in Multi-Item Questionnaires
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