Background Implementing treatments and interventions with demonstrated effectiveness is
critical for improving patient health outcomes at a reduced cost. When an evidence-based …

Bifactor and other hierarchical models have become central to representing and explaining
observations in psychopathology, health, and other areas of clinical science, as well as in …

中介效应可以分析自变量对因变量的影响过程和作用机制, 已成为分析多个变量之间关系的一种
重要统计方法. 最近20 年, 中介效应成了研究方法的一个热点. 从中介效应的检验方法, 效应量 …

Coordination between land urbanization and urban eco-efficiency can lead to sustainable
economic growth. However, insufficient attention has been paid to the mechanism by which …

Being able to analyze the influence mechanism of independent variables on dependent
variables, the analysis of mediation effect has become an important statistical method in …

Psychology researchers are often interested in mechanisms underlying how randomized
interventions affect outcomes such as substance use and mental health. Mediation analysis …

Motivation wields a tangible impact on students' academic functioning. Among the
theoretical frameworks used to explain students' motivation to learn, Eccles et al.'s …

In psychology, the causal process between 2 variables can be studied with statistical
mediation analysis. To make a causal interpretation about the relation between variables …

Internalized weight stigma (IWS) has been linked with disordered eating behavior, both
directly, and as a mediator of the relationship between experienced weight stigma and …

This study investigates the impact of daily intermittency in solar energy on retail electricity
bills, focusing on the “Duck Curve” and “Peak Shifting” phenomena and their varying effects …