Compliance is often used to describe a situation in which a child completes instructions from adults, and low levels of compliance are a common teacher concern. We conducted a descriptive assessment that showed that compliance was relatively stable for individual children, variable across children, and positively correlated with age. The impact of six antecedent variables (proximity, position, physical contact, eye contact, vocal attention, and play interruption) on compliance was assessed for 4 children. Next, the effects of three-step prompting were assessed alone, in combination with the antecedent variables, and at different integrity levels for 2 children. Results of the experimental analyses showed that compliance gradually increased with the addition of each antecedent variable for 2 of the 4 children. Three-step prompting in combination with the six antecedent variables increased compliance for the remaining 2 children, and high compliance levels were maintained until treatment integrity was decreased to 20% of full strength. The utility of this naturalistic compliance assessment is discussed, as are the relevant experiences that give rise to acceptable levels of compliance in preschool classrooms.
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http://dx.doi.org/10.1901/jaba.2010.43-229 | DOI Listing |
BMC Med Res Methodol
January 2025
Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere Universities, Tampere, Finland.
Background And Method: This study set out to identify the factors and combinations of factors associated with the individual's premature death, using data from the Finnish Longitudinal Study on Ageing Municipal Employees (FLAME) which involved 6,257 participants over a 29-year follow-up period. Exact dates of death were obtained from the Finnish population register. Premature death was defined as a death occurring earlier than the age- and sex-specific actuarial life expectancy indicated by life tables for 1981, as the baseline, with the threshold period of nine months.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Center for Management, University of Münster, Münster, Germany.
Background: Telemedicine is transforming health care by enabling remote diagnosis, consultation, and treatment. Despite rapid adoption during the COVID-19 pandemic, telemedicine uptake among health care professionals (HCPs) remains inconsistent due to perceived risks and lack of tailored policies. Existing studies focus on patient perspectives or general adoption factors, neglecting the complex interplay of contextual variables and trust constructs influencing HCPs' telemedicine adoption.
View Article and Find Full Text PDFBehav Sci (Basel)
January 2025
School of Education, Tianjin University, Tianjin 300072, China.
This study advances newcomers' socialization research by identifying and investigating the antecedents of newcomers' proactive behaviors, a perspective often overlooked within the current studies, which primarily focuses on the outcomes of such behaviors. Based on the proactive motivation model, our core hypothesis is that inclusive leadership allows newcomers to experience psychological changes in control beliefs (can-do motivation), state promotion focus (reason-to motivation), and positive affect (energized-to motivation), which are stimulated following proactive behaviors. We further consider an individual values variable-individual power distance orientation-as the boundary condition on the influence of inclusive leadership.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Academic Affairs Office, Zhejiang Shuren University, Hangzhou 310015, China.
In today's highly competitive and complex market environment, enhancing adaptability has become essential for the sustainable development of enterprises. Job crafting, an important strategy for strengthening a company's core competitiveness, has garnered increasing attention in recent years. However, previous studies have often overlooked its antecedent variables and mechanisms.
View Article and Find Full Text PDFSci Total Environ
February 2025
Office of Research and Development, United States Environmental Protection Agency, Athens, GA, USA.
Estimating constituent loads in streams and rivers is a crucial but challenging task due to low-frequency sampling in most watersheds. While predictive modeling can augment sparsely sampled water quality data, it can be challenging due to the complex and multifaceted interactions between several sub-watershed eco-hydrological processes. Traditional water quality prediction models, typically calibrated for individual sites, struggle to fully capture these interactions.
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