Exploring Features Within Organizational and Cognitive Factors That Predict Variability in Estimates of Classwide Active Engagement

2021 ◽  
pp. 027112142110303
Author(s):  
LeAnne D. Johnson ◽  
Andrea L. B. Ford ◽  
Danielle Dupuis ◽  
Maria L. Hugh

Adopting an “act-in-context” approach is helpful to researchers investigating situational variability in children’s active engagement in preschool classrooms. Aligned with this approach, we propose an empirical pathway and a conceptual model to support examinations of contextual factors hypothesized to impact active engagement as well as the means by which adults promote it. We defined two overarching factors—cognitive and organizational—and explored the predictive nature of seven features within them. With video recordings from 31 classrooms (inclusive and self-contained) of three instructional routines on three different occasions, we derived averages for classwide active engagement during each observation. A series of linear mixed effects models revealed that instructional routines significantly predicted variability in classwide active engagement as did interactions of other contextual features with instructional routines. These findings provide a foundation for continued, systematic examinations of situational factors and conceptualizations of engagement within carefully specified pathways for improving active engagement.

2021 ◽  
pp. 001316442199489
Author(s):  
Luyao Peng ◽  
Sandip Sinharay

Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of Wollack and Eckerly (2017) and Sinharay (2018) and suggests a new aggregate-level EDI by incorporating the empirical best linear unbiased predictor from the literature of linear mixed-effects models (e.g., McCulloch et al., 2008). A simulation study shows that the new EDI has larger power than the indices of Wollack and Eckerly (2017) and Sinharay (2018). In addition, the new index has satisfactory Type I error rates. A real data example is also included.


2021 ◽  
pp. 1-4
Author(s):  
Michaela Kranepuhl ◽  
Detlef May ◽  
Edna Hillmann ◽  
Lorenz Gygax

Abstract This research communication describes the relationship between the occurrence of lameness and body condition score (BCS) in a sample of 288 cows from a single farm that were repeatedly scored in the course of 9 months while controlling for confounding variables. The relationship between BCS and lameness was evaluated using generalised linear mixed-effects models. It was found that the proportion of lame cows was higher with decreasing but also with increasing BCS, increased with lactation number and decreased with time since the last claw trimming. This is likely to reflect the importance of sufficient body condition in the prevention of lameness but also raises the question of the impact of overcondition on lameness and the influence of claw trimming events on the assessment of lameness. A stronger focus on BCS might allow improved management of lameness that is still one of the major problems in housed cows.


2007 ◽  
Vol 27 (14) ◽  
pp. 2586-2600 ◽  
Author(s):  
Fetene B. Tekle ◽  
Frans E. S. Tan ◽  
Martijn P. F. Berger

Biostatistics ◽  
2012 ◽  
Vol 14 (1) ◽  
pp. 144-159 ◽  
Author(s):  
R. Drikvandi ◽  
G. Verbeke ◽  
A. Khodadadi ◽  
V. Partovi Nia

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