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The article discusses the integration of machine learning and traditional statistical methods in psychological research, focusing on challenges such as limited sample sizes, measurement errors, nonindependent observations, and missing data. It emphasizes the need for cross-disciplinary collaboration to address these issues effectively and improve replicability in research. The authors argue that understanding these challenges from both perspectives can yield valuable insights for both fields.

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AbyART

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EN