The ongoing discussion among scientists about null-hypothesis significance testing and Bayesian data analysis has led to speculation about the practices and consequences of "researcher degrees of freedom." This article advances this debate by asking the broader questions that we, as scientists, should be asking: How do scientists make decisions in the course of doing research, and what is the impact of these decisions on scientific conclusions? We asked practicing scientists to collect data in a simulated research environment, and our findings show that some scientists use data collection heuristics that deviate from prescribed methodology. Monte Carlo simulations show that data collection heuristics based on p values lead to biases in estimated effect sizes and Bayes factors and to increases in both false-positive and false-negative rates, depending on the specific heuristic. We also show that using Bayesian data collection methods does not eliminate these biases. Thus, our study highlights the little appreciated fact that the process of doing science is a behavioral endeavor that can bias statistical description and inference in a manner that transcends adherence to any particular statistical framework.
Aim: To explore the effects of disability, depressive, anxiety and stress symptoms on patients' and their partners' quality of life (QoL) using the actor-partner interdependence model (APIM).
Design:A cross-sectional study using actor-partner interdependence model.
Methods:We recruited 183 dyads of stroke survivors and their family caregivers in Indonesia. The World Health Organization Disability Assessment (WHODAS 2.0), Depression, Anxiety and Stress (DASS-42) and Rand Short Form Health Survey (SF-36) were used to measure disability, depressive, anxiety and stress symptoms and QoL of stroke survivors and family caregivers. The actor-partner interdependence model was tested using multilevel modelling. The actor-partner interdependence mediation model (APIMeM) was applied to estimate the direct and indirect effect.Results: Disability had actor effects on stroke survivor's overall QoL and partner effect on family caregiver's overall QoL. More severe disability of stroke survivors was associated with a lower overall QoL of their own and that of family caregiver's overall QoL. Depressive symptoms of stroke survivors had actor effects on stroke survivors' overall QoL and partner effects on family caregivers' overall QoL. Actor and partner effects also exist on family caregiver's depression symptoms to their own overall QoL and stroke survivor's overall QoL. Moreover, higher anxiety symptoms were associated with lower levels of their own and partner's overall QoL in both stroke survivors and family caregivers. Stroke survivor's stress symptoms also negatively associated with their own and family caregiver's overall QoL. However, a family caregiver's stress without a partner effects on stroke survivor's overall QoL. The APIMeM analysis showed that disability of stroke survivors directly decreased their own overall, physical (PCS) and mental QoL (MCS). Also, disability mediated by stroke survivor's depression, anxiety and stress symptoms decreased both stroke survivor's and family caregiver's physical (PCS) and mental QoL (MCS).
Conclusion:The findings suggest that stroke survivors and family caregivers may influence each other during the caregiving process and social life. The disability of stroke survivors, and the depression, anxiety and stress symptoms of stroke survivors and
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