Are track recommendations dependent on schools and school boards? A study of trends in the level of track recommendations, number of double recommendations and reconsiderations in Dutch urban and rural areas

Track recommendations provided to students in the final grade of primary education lead the allocation to specific school tracks in secondary education in the Netherlands. Where the results of a standardised test indicate that students are able to go to a higher track level, primary schools are required to reconsider and potentially adjust the track recommendation to a higher level. The current research aimed to (1) investigate trends in the level of track recommendations, double track recommendations and reconsiderations over the years 2014–2015 to 2018–2019, (2) explore the variation in (trends of) track recommendations between Dutch primary schools and their school boards, and (3) assess the association between track recommendations and the school level variables degree of urbanisation and type of primary education. We used multilevel growth curve modelling for continuous and count data based on publicly available school-level population data regarding track recommendations and school leavers tests from 2014–2015 to 2018–2019. The number of double track recommendations has increased over the cohorts, with a slightly decreasing gap between schools in rural and urban areas. The number of reconsiderations first decreased and then increased. The differences in reconsiderations between rural and urban areas are increasing over time. An initial trend towards higher average recommendations stabilising in the later cohorts appeared with no clear pattern for degree of urbanisation. The current study adds to the existing knowledge by assessing longitudinal trends instead of cross-sectional analyses and including multiple stakeholders and factors simultaneously.</p

School motivation profiles of Dutch 9th graders

The aim of this study was to identify school motivation profiles of Dutch 9th grade students in a four-dimensional motivation space, including mastery, performance, social and extrinsic motivation. Multiple clustering methods (K-means, K-medoids, restricted latent profile analysis) and multiple indices for selecting the optimal number of clusters were applied. The statistical selection methods did not completely concur on the optimal number of clusters, but a clear common denominator was provided by the Calinski-Harabasz index and the minimum and mean Silhouette values. All three indices indicated two clusters as the optimal number, regardless of the clustering method used: one cluster of 9th graders with high average scores on all dimensions and one cluster with low mean scores on all dimensions. In addition, we explored the substantive interpretation of multiple cluster solutions. It was discovered that most students are in clusters that can be classified into one of three profile types that may differ in level: (1) approximately equal mean scores on all dimensions, (2) relative high mean scores on mastery and social motivation, and (3) a relatively low mean score on performance motivation. The latter profile type is believed to be a new discovery

Some common errors of experimental design, interpretation and inference in agreement studies

We signal and discuss common methodological errors in agreement studies and the use of kappa indices, as found in publications in the medical and behavioural sciences. Our analysis is based on a proposed statistical model that is in line with the typical models employed in metrology and measurement theory. A first cluster of errors is related to nonrandom sampling, which results in a potentially substantial bias in the estimated agreement. Second, when class prevalences are strongly nonuniform, the use of the kappa index becomes precarious, as its large partial derivatives result in typically large standard errors of the estimates. In addition, the index reflects rather one-sidedly in such cases the consistency of the most prevalent class, or the class prevalences themselves. A final cluster of errors concerns interpretation pitfalls, which may lead to incorrect conclusions based on agreement studies. These interpretation issues are clarified on the basis of the proposed statistical modelling. The signalled errors are illustrated from actual studies published in prestigious journals. The analysis results in a number of guidelines and recommendations for agreement studies, including the recommendation to use alternatives to the kappa index in certain situations

Combined molecular dynamics and quantum trajectories simulation of laser-driven, collisional systems

We introduce a combined molecular dynamics (MD) and quantum trajectories (QT) code to simulate the effects of near-resonant optical fields on state-vector evolution and particle motion in a collisional system. In contrast to collisionless systems, in which the quantum dynamics of multi-level, laser-driven particles with spontaneous emission can be described with the optical Bloch equations (OBEs), particle velocities in sufficiently collisional systems change on timescales comparable to those of the laser-induced, quantum-state dynamics. These transient velocity changes can cause the time-averaged velocity dependence of the quantum state to differ from the OBE solution. We use this multiscale code to describe laser-cooling in a strontium ultracold neutral plasma. Important phenomena described by the simulation include suppression of electromagnetically induced transparencies through rapid velocity changing collisions and thermalization between cooled and un-cooled directions for anisotropic laser cooling.Comment: 14 pages, 10 figure

The predictive power of track recommendations in Dutch secondary education

In the transition from Dutch primary to secondary education, two indicators are used to place students in the right track: primary school teachers' track recommendations (TTR) and standardized achievement tests (SATs) at the end of primary school. Which indicator is better for placing students is a long-standing issue among educational researchers and professionals. Since 2015, the SAT is administered after the TTR has been given; previously, SAT was administered first. In the current study, it was investigated to what extent TTR and a commonly used SAT predict students' educational attainment after three years of secondary education for multiple cohorts before and after 2015. The results were compared for educational tracks and for different socio-economic status (SES) groups, using multiple samples approaching population data. For all educational tracks and SES groups the results show that TTR is a better predictor of educational attainment than SAT. Furthermore, large differential effects for SES were found. The change of administrative sequence in 2015 had no effect on the overall predictive accuracy: TTR remained the better predictor. The results give new insights into the predictive value of both TTR and SAT before and after the change in administration sequence

Proteolysis of the endothelial cell protein C receptor by neutrophil proteinase 3

BACKGROUND: The endothelial cell protein C receptor (EPCR) presents protein C to the thrombin:thrombomodulin complex on the endothelium of large vessels, and enhances the generation of activated protein C (APC) and activation of protease-activated receptor-1. A previous report has demonstrated binding of soluble (s) EPCR to activated neutrophils via surface proteinase 3 (PR3). METHODS: We now report further characterization of this interaction. Activated neutrophils and purified PR3 both decrease endothelial cell (EC) surface EPCR, suggestive of its proteolysis. RESULTS: When added to purified recombinant sEPCR, PR3 produced multiple cleavages, with early products including 20 kDa N-terminal and C-terminal (after Lys(176)) fragments. The binding of active site blocked PR3 to sEPCR was studied by surface plasmon resonance. Estimates of the K(D) of 18.5–102 nm were obtained with heterogeneous binding, suggestive of more than a single interaction site. CONCLUSIONS: This work demonstrates PR3 binding to and proteolysis of EPCR and suggests a mechanism by which anticoagulant and cell protective pathways can be down-regulated during inflammation

Lassoing and corraling rooted phylogenetic trees

The construction of a dendogram on a set of individuals is a key component of a genomewide association study. However even with modern sequencing technologies the distances on the individuals required for the construction of such a structure may not always be reliable making it tempting to exclude them from an analysis. This, in turn, results in an input set for dendogram construction that consists of only partial distance information which raises the following fundamental question. For what subset of its leaf set can we reconstruct uniquely the dendogram from the distances that it induces on that subset. By formalizing a dendogram in terms of an edge-weighted, rooted phylogenetic tree on a pre-given finite set X with |X|>2 whose edge-weighting is equidistant and a set of partial distances on X in terms of a set L of 2-subsets of X, we investigate this problem in terms of when such a tree is lassoed, that is, uniquely determined by the elements in L. For this we consider four different formalizations of the idea of "uniquely determining" giving rise to four distinct types of lassos. We present characterizations for all of them in terms of the child-edge graphs of the interior vertices of such a tree. Our characterizations imply in particular that in case the tree in question is binary then all four types of lasso must coincide