Vollständiger Abstract
Worum geht es in dieser Arbeit?
Within-group (pre–post) designs are commonly employed in home healthcare research because patient and professional study populations present with heterogeneous characteristics, recruitment is often challenging, and well-matched control groups are often infeasible to assemble. However, these designs typically involve small sample sizes, outcomes measured in field settings, and data conditions marked by heteroskedasticity, non-normality, and outliers both unplanned and associated with the frequent use of ordinal scales to collect data. To address these issues, a Monte Carlo simulation study was conducted to evaluate the characteristics of four one-sided paired tests used in within-group analyses as to recommend the best baseline test for home healthcare researchers: the paired samples t test, the Wilcoxon signed-rank (WSR) test, and two Bayesian paired-samples t tests with default priors (Cauchy, Normal). The simulated data were designed specifically to reflect conditions commonly encountered in home health research, including small sample sizes ( N = 10-50), heavy-tailed distributions, contamination by 5% extreme posttest outliers, and heteroskedasticity introduced by doubling posttest variance relative to pretest. Type I error rates were calibrated to 5% across all methods to ensure fair comparison. Results indicated that the WSR provided the most consistent performance across both normal and non-normal data environments, maintaining 5% Type I error and achieving higher average power under the heavy-tailed, contaminated, and heteroskedastic conditions most representative of home healthcare outcomes. Bayesian procedures outperformed the paired samples t -test in many conditions, but neither consistently exceeded the WSR. The paired samples t -test remained competitive only under clean normal, homoskedastic data with very small effects. Overall, findings support the WSR as the safest default test for small-sample within-group home health studies.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Daniel W. Martin
- Quelle
- Home Healthcare Now
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2374-4529, 2374-4537
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Zitierfähiger Nachweis
Daniel W. Martin (2026). Choosing the Best Statistical Test for Within-Groups Analysis for Home Health Practitioners. Home Healthcare Now. https://doi.org/10.1097/nhh.0000000000001457