Inferential Statistics and the Pitfalls of Nonrandomized Sampling in Nursing Research

Inferential statistics must be grounded in proper sampling methods. Researchers should avoid overgeneralization from biased samples, use alternative analytical approaches where appropriate, and clearly disclose methodological limitations. Reform in nursing education and publication standards is critical to maintaining the validity and trustworthiness of nursing science.

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Publication Details

Journal
Nursing Research
Published
2025-09-29
DOI
https://doi.org/10.1097/nnr.0000000000000868
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
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article

Inferential Statistics and the Pitfalls of Nonrandomized Sampling in Nursing Research

Patricia Ann Zrelak
Nursing Research
Statistical Methods and Bayesian Inference
article

Inferential Statistics and the Pitfalls of Nonrandomized Sampling in Nursing Research

Patricia Ann Zrelak
article en

Abstract

Inferential statistics must be grounded in proper sampling methods. Researchers should avoid overgeneralization from biased samples, use alternative analytical approaches where appropriate, and clearly disclose methodological limitations. Reform in nursing education and publication standards is critical to maintaining the validity and trustworthiness of nursing science.

Nursing ResearchVol. 75(1)
Health Foundation (GB), Institute for Conflict Research (GB), Kaiser Foundation Hospital (US), ZTE (United States) (US)
Openalex Percentile: Top 74%
Statistical Methods and Bayesian Inference
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