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June 24, 2024British Journal of Mathematical and Statistical PsychologyOpen Access

Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations

Miguel A. García‐Pérez

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Key Points

Dependent correlations can significantly impact the interpretation of bivariate analyses, revealing complex relationships.
Power and empirical type I error rates were examined in 10 different statistical tests for significance in correlations.
Simulation methods were employed to assess the robustness of approaches to independent and dependent correlations across different scenarios with overlapping variables. These findings highlight the need for precise statistical tests, indicating that commonly used methods may overlook significant differences.

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Implication

Simulation analysis evaluates statistical tests for dependent correlations, suggesting improved accuracy in assessments.

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Cite This Study

Miguel A. García‐Pérez (2024) studied this question.

synapsesocial.com/papers/68e63913b6db6435875cb033 https://doi.org/10.1111/bmsp.12354

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Comparison of Tests of the Equality of Dependent Correlation CoefficientsOriginal Research · 1971 · 170 citations
2Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research2024 · 15 citations
3Reducing multivariate independence testing to two bivariate means comparisons2024
4A Cautionary Tale of Two Statistics: Partial Correlation and Standardized Partial RegressionCross-Sectional Study · 2003 · 41 citations
5Regression, correlation and structureOriginal Research · 1959

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