Efficiency Analysis with Educational Data: How to Deal with Plausible Values from International Large-Scale Assessments

International large-scale assessments (ILSAs) provide several measures as a representation of educational outcomes, the so-called plausible values, which are frequently interpreted as a representation of the ability range of students. In this paper, we focus on how this information should be incorporated into the estimation of efficiency measures of student or school performance using data envelopment analysis (DEA). Thus far, previous studies that have adopted this approach using data from ILSAs have used only one of the available plausible values or an average of all of them. We propose an approach based on the fuzzy DEA, which allows us to consider the whole distribution of results as a proxy of student abilities. To assess the extent to which our proposal offers similar results to those obtained in previous studies, we provide an empirical example using PISA data from 2015. Our results suggest that the performance measures estimated using the fuzzy DEA approach are strongly correlated with measures calculated using just one plausible value or an average measure. Therefore, we conclude that the studies that decide upon using one of these options do not seem to be making a significant error in their estimates.

Interobserver reliability of canine urine specific gravity assessed by analog or digital refractometers

Refractometry is utilized routinely to evaluate canine urine specific gravity (USG) in veterinary clinical settings. We aimed to determine if the magnitude of interobserver reliability when assessing canine USG via refractometry could impact clinical judgment. USG was determined in 38 dogs by 3 registered veterinary technicians (RVTs) using both an optical analog refractometer and a digital refractometer. Summary statistics were reported, interobserver reliability was assessed via intraclass correlation coefficient (ICC) analysis through a 2-way mixed-effects model, and agreement between RVT pairs was compared through Bland–Altman plots. The median analog refractometer USG measurement was 1.018 (range: 1.004–1.040) and for the digital refractometer was 1.0176 (1.0035–1.0357). The analog refractometer average measure ICC was 0.995 (95% CI: 0.992, 0.997; p < 0.001). The digital refractometer average measure ICC was 0.999 (95% CI: 0.999, 1.000; p < 0.001). Strong agreement between all pairs of RVTs was seen via Bland–Altman plots for both analog and digital refractometers, with 95% CIs spanning no more than 0.002 in either the positive or negative direction for all pairings. The interobserver variability in canine USG measurements by RVTs was trivial and did not impact clinical judgment and decision-making.

The risk of being culpable for or involved in a road crash after using cannabis: A systematic review and meta-analyses

Background The development of drug driving policies should rest on sound epidemiological evidence as to the crash risks of driving after using psychoactive drugs. The findings from individual studies of the increased risk of crashing from the acute use of cannabis range in size from no increase (and perhaps even a protective effect) to a 10-fold increase. Coherent cannabis-driving policies cannot readily be developed from such an incoherent evidence base. A weighted average measure of risk, as provided by a meta-analysis, might be useful. However, if the range of risks found in the cannabis-crash studies reflects the different ways that a variety of biases are being expressed, then the simple application of a meta-analysis might provide little more than an average measure of bias. In other words, if the biases were predominantly inflationary, the meta-analysis would give an inflated estimate of crash risk; and if the biases were predominantly deflationary, the meta-analysis would give a deflated estimate of risk. Review We undertook a systematic search of electronic databases, and identified 13 culpability studies and 4 case–control studies from which cannabis-crash odds ratios could be extracted. Random-effects meta-analyses gave summary odds ratios of 1.37 (1.10–1.69) for the culpability studies and 1.45 (0.94–2.25) for the case–control studies. A tool was designed to identify and score biases arising from: confounding by uncontrolled covariates; inappropriate selection of cases and controls; and the inappropriate measurement of the exposure and outcome variables. Each study was scrutinised for the presence of those biases, and given a total ‘directional bias score’. Most of the biases were inflationary. A meta-regression against the total directional bias scores was performed for the culpability studies, giving a bias-adjusted summary odds ratio of 0.68 (0.45–1.05). The same analysis could not be performed for the case–control studies because there were only four such studies. Nonetheless, a monotonic relationship was found between the total bias scores and the cannabis-crash odds ratios, with Spearman's rho = 0.95, p = 0.05, indicating that the summary odds ratio of 1.45 is an overestimate. It is evident that the risks from driving after using cannabis are much lower than from other behaviours such as drink-driving, speeding or using mobile phones while driving. With the medical and recreational use of cannabis becoming more prevalent, the removal of cannabis-presence driving offences should be considered (while impairment-based offences would remain).

Agency and Structure in Latin American Regime Change

Transitions from authoritarianism and breakdowns of democracy have long been central puzzles for scholars of Latin American politics. Because structural explanations have proved to be weak, recent work has emphasised political agency. This strand of research is promising, but major questions remain unanswered: Who are the key actors driving regime change? How do their individual preferences affect transitions and breakdowns? This article focuses on three central members of the political elite: presidents, opposition leaders, and military commanders. These actors develop unique preferences about regimes and unique degrees of radicalism regarding their preferred policies; in turn, these preferences and radicalism affect the probabilities of regime change. Testing the argument in 20 nations between 1945 and 2010, we find that an average measure of preferences masks crucial distinctions in the chain of regime change. Transitions to a competitive regime are more likely when autocrats have low intrinsic commitments to dictatorship. The survival of democracies hinges on whether top military officials develop pro-democratic preferences. The role of executive preferences, by contrast, is moderated by the attachments and radicalism of opposition leaders. Next, we examine how structural contexts shape both preferences and political outcomes, finding that economic development shapes both the emergence of preferences and radicalism and their impacts on regime change. Our findings improve the validity of political agency theories and reconcile the roles of actors with the environments in which regimes emerge and fall.

All ANIs are not created equal: implications for prokaryotic species boundaries and integration of ANIs into polyphasic taxonomy

In prokaryotic taxonomy, a set of criteria is commonly used to delineate species. These criteria are generally based on cohesion at the phylogenetic, phenotypic and genomic levels. One such criterion shown to have promise in the genomic era is average nucleotide identity (ANI), which provides an average measure of similarity across homologous regions shared by a pair of genomes. However, despite the popularity and relative ease of using this metric, ANI has undergone numerous refinements, with variations in genome fragmentation, homologue detection parameters and search algorithms. To test the robustness of a 95–96 % species cut-off range across all the commonly used ANI approaches, seven different methods were used to calculate ANI values for intra- and interspecies datasets representing three classes in the Proteobacteria . As a reference point, these methods were all compared to the widely used blast-based ANI (i.e. ANIb as implemented in JSpecies), and regression analyses were performed to investigate the correlation of these methods to ANIb with more than 130000 individual data points. From these analyses, it was clear that ANI methods did not provide consistent results regarding the conspecificity of isolates. Most of the methods investigated did not correlate perfectly with ANIb, particularly between 90 and 100% identity, which includes the proposed species boundary. There was also a difference in the correlation of methods for the different taxon sets. Our study thus suggests that the specific approach employed needs to be considered when ANI is used to delineate prokaryotic species. We furthermore suggest that one would first need to determine an appropriate cut-off value for a specific taxon set, based on the intraspecific diversity of that group, before conclusions on conspecificity of isolates can be made, and that the resulting species hypotheses be confirmed with analyses based on evolutionary history as part of the polyphasic approach to taxonomy.

Testing Bioimpedance to Estimate Body Fat Percentage across Different Hip and Waist Circumferences

Many studies have validated the use of bioimpedance analysis (BIA) to quantify body fat percentage (BF%). However, it is unknown if some model types (i.e., hand to hand, foot to foot, and hand to foot) are differing in their validity depending on hip and waist circumferences. The purpose of this study was to compare the difference in BF% between three BIA models (i.e., hand to hand, foot to foot, and hand to foot) against the Bod Pod across different hip and waist circumferences. A total of 92 people aged 19-72 years were recruited in this study. After following the pretesting procedures recommended for BIA measures, BF% was estimated using three BIA models and the Bod Pod. Hip and waist circumferences were obtained using standard procedures and tertiles were computed. The Bland-Altman was plotted and 1-sample T-test as well as correlation between the average measure and the difference between the two measures was tested. Within the entire sample, across all BIA models, the Bland-Altman analysis showed significant difference compared to 0 and a significant difference for the proportional. However, when stratified by tertiles, the two measurements were only significant for the highest tertiles of hip and waist for all BIA apparatus (all p <0.01) and the proportional bias was nonsignificant for all tertiles and across all BIA apparatus. For the highest tertile of waist and hip, the average difference was between 1.67% and 3.29% compared with the Bod Pod estimation. In conclusion, the three BIA models offer a BF% measurement agreeing with the estimation obtained with the Bod Pod with the exception of people having a greater waist or greater hip.

DEGREE-BASED GINI INDEX FOR GRAPHS

In Balaji and Mahmoud [1], the authors introduced a distance-based Gini index for rooted trees. In this paper, we introduce a degree-based Gini index (or just simply degree Gini index) for graphs. The latter index is a topological measure on a graph capturing the proximity to regular graphs. When applied across the random members of a class of graphs, we can identify an average measure of regularity for the class. Whence, we can compare the classes of graphs from the vantage point of closeness to regularity.We develop a simplified computational formula for the degree Gini index and study its extreme values. We show that the degree Gini index falls in the interval [0, 1). The main focus in our study is the degree Gini index for the class of binary trees. Via a left-packing transformation, we show that, for an arbitrary sequence of binary trees, the Gini index has inferior and superior limits in the interval [0, 1/4]. We also show, via the degree Gini index, that uniform rooted binary trees are more regular than binary search trees grown from random permutations.

Development and Validation of an OMERACT MRI Whole-Body Score for Inflammation in Peripheral Joints and Entheses in Inflammatory Arthritis (MRI-WIPE)

Objective.To develop a whole-body magnetic resonance imaging (MRI) scoring system for peripheral arthritis and enthesitis.Methods.After consensus on definitions/locations of MRI pathologies, 4 multireader exercises were performed. Eighty-three joints were scored 0–3 separately for synovitis and osteitis, and 33 entheses 0–3 separately for soft tissue inflammation and osteitis.Results.In the last exercise, reliability was moderate-good for musculoskeletal radiologists and rheumatologists with previously demonstrated good scoring proficiency. Median pairwise single-measure/average-measure ICC were 0.67/0.80 for status scores and 0.69/0.82 for change scores; κ ranged 0.35–0.77.Conclusion.Whole-body MRI scoring of peripheral arthritis and enthesitis is reliable, which encourages further testing and refinement in clinical trials.

PERSONALITY MATURITY AND SUBJECTIVE WELL-BEING IN STUDENTS OF FULL-TIME AND CORRESPONDENCE FORMS OF STUDYING IN THE UNIVERSITY

The article contains the research of connections between personality maturity and subjective wellbeing in full-time and correspondence course psychology students. The concept of personality maturity is considered in terms of O.S.Shteppe’s and Yu.Z.Hilbukh’s approaches, the concept of subjective well-being is considered in terms of E. Diener’s hedonistic approach. For empirical study there were used such methods as Personality Maturity Questionnaire Yu.Z. Hilbukh, Personality Maturity Questionnaire O.S.Shteppe , Subjec tive Well-being Scale A. Perrudet-Badoux in V.N.Sokolova adaptation, Satisfaction with Life Scale E. Diener in D.O.Leontiev adaptation, Subjective Happiness Scale S. Lyubomirsky. The subjects of the research were second year students since this period can be considered the most stable of whole studying time. It’s revealed that the most psychology students have got acceptable level of personality maturity by Yu.Z.Hilbukh that is very high, high or satisfactory level. According to O.S.Shteppe the most of them have got required level of personality maturity. Students feel subjective well-being on emotional and cognitive level by average measure, they feel happy with their life by higher than average measure. Personality maturity in general is signifiantly correlates with subjective well-being in the emotional aspect and satisfaction with life as cognitive aspect of subjective well-being in students of both forms of studying. Also the tendency to form connection between personality maturity and feeling of happiness is revealed in full-time students. Correlations between com ponents of personality maturity and subjective well-being were obtained for full-time and correspondence course students separately. In full-time student’s different aspects of subjective well-being are more wildly connected with such components of personality maturity as motivation of achievement, self-acceptance and life philosophy. In correspondence course students, aspects of subjective well-being are to more extent connected with components of personality maturity as contactability, tolerance and synergy. It can have argued that full-time students to feel emotionally comfortable need to have dispositions which regulate relations with themselves, but correspondence course students need to have dispositions which are demanded in communication and building ofrelationships.

Analysis of Productivity of Soybean [Glycine max (L.) Merr.] for Production for Farmers in Indonesia

Productivity is an average measure of the production efficiency. This study was aimed at identifying the soybean productivity in Indonesia, including production and land area. Total Factor Productivity (TFP) was conducted on 100 farmers in Grobogan Regency, Central Java, which is determined by stratified random sampling. The result shows that the productivity value of soybean is 76.8%. This number can potentially increase output as big as 23.3% using the same input factors. The productivity of soybean in 2014 was 2.03 ton/ha and 2015 the number increased by 4.5% became2.12 ton/ha. The average value of TFP soybean farming in Grobogan regency was 1.007. It indicated a positive progress of productivity by 0.7% in the last two years. The Productivity of Soybean will have an average value of 1.675 ton/hectare for 8 years, i.e. from 2017 until 2024. Keywords: DEA; Soybean; Technical Efficiency; Total Factor Productivity