How to evaluate the relationship between perceived stigma, resilience, and quality of sleep?

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Evaluating the relationship between perceived stigma, resilience, and sleep quality involves:
1. Multidimensional scaling: Use validated tools (e.g., Perceived Stigma Scale, CD-RISC for resilience, PSQI for sleep) to quantify each construct, analyzing correlations and regression models to test if stigma predicts poor sleep and whether resilience buffers this link.
2. Longitudinal/cross-lagged design: Track stigma, resilience, and sleep over time (e.g., monthly) to assess temporal relationships (e.g., does stigma precede sleep decline, or vice versa), controlling for confounding factors like depression or stress.
3. Mediational/moderation analysis: Test if resilience mediates the stigma-sleep link or moderates its strength, using structural equation modeling to clarify if higher resilience reduces stigma’s impact on sleep quality (e.g., via emotional regulation pathways).