Research Article
The Distribution of Risk Across Healthcare Providers and Reducing Misclassification
Issue:
Volume 13, Issue 2, April 2024
Pages:
29-38
Received:
22 March 2024
Accepted:
7 April 2024
Published:
29 April 2024
Abstract: Four linear multilevel mixed-risk models were compared using model assumption tests and predictions. Models varied by the number of random intercepts from 1 to 4, producing 2-level through 5-level models of the same measure, operative time. Normality of the dependent variable and residuals, variance homoscedasticity, level-1, and level-2 exogeneity were tested using the robust test of the level-1 residuals variance by surgeon, estimates of density, skew, and the Hausman test. Measure (operative time by hospital and surgeon) aberrancy and risk classification were evaluated using traditional methods and used to assess distribution measures. The dependent variable and the level-1 residuals required transformation for linearity and variance stabilization, respectively. Normality criteria were met for both level-1 and level-2 residuals and standardized residuals. The likelihood ratio comparing the four models was significantly larger for the 5-level (1016.1; P<0.00005) model than the likelihood ratio for the four-level and other models. Shrinkage was greatest for the 2-level model (0.039; P<0.00005) and least for the 5-level model (0.028; P<0.00005). Level-1 variance homoscedasticity was confirmed by the robust variance test across all models (P>F=1). Aberrant value detection did not require the exclusion of any observations, while prediction intervals revealed low or high risk for 54.2% of surgeons for the 2-level model and 8.6% for the 5-level model. The traditional (c2 = -11.01; P=1) and instrumental variable (c2 = 21.06; P=1) Hausman tests show that the null hypothesis cannot be rejected for level-1 or level-2 exogeneity. Once level-1 and level-2 exogeneity was confirmed, and since deconfounding was a model consideration, causal inferential capacity was assumed. The likelihood ratio, residual variance, shrinkage, and predictions show that the 5-level model is preferred to the other models.
Abstract: Four linear multilevel mixed-risk models were compared using model assumption tests and predictions. Models varied by the number of random intercepts from 1 to 4, producing 2-level through 5-level models of the same measure, operative time. Normality of the dependent variable and residuals, variance homoscedasticity, level-1, and level-2 exogeneity...
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Research Article
Determinants of Viewing Kana Television Program on Students' Academic Performance in Jigjiga Town Preparatory School
Aychew Alemie Mekonen*
,
Amare Mebrat Delie,
Ermyas Kefelegn
Issue:
Volume 13, Issue 2, April 2024
Pages:
39-45
Received:
3 March 2024
Accepted:
8 April 2024
Published:
29 April 2024
Abstract: Globalization gave rise to television, a significant source of instructional enrichment. It offers more comprehensive, advanced, and varied knowledge and instruction. Television has received a lot of flak for having a detrimental effect on secondary school pupils' academic achievement. Watching television could start to compete with studying time and eventually lead to poorer academic achievement. In this study, our aim was to identify the determinants of viewing Kana television programs on academic performance. To meet the objective, of the 1658 students, 138 were selected as a sample by using stratified random sampling. We gathered information from the sample of students by using primary and secondary data collection methods. Multiple linear regressions were used for data analysis, considering academic performance (the average mark after watching Kana TV) as the response variable. According to the descriptive statistic, 46.4% of students are males, and the remaining 53.6% are females because the total population of females is higher than males. 51.4% of students live in urban areas, and the remaining 48.6% live in rural area. 60.9% of students have access of satellite television and 39.1% of students have no access to satellite television. The major significant factors that affect the academic performance of students are age, religion, income, parent’s follow-up (father’s follow-up), access to satellite television, addiction to Kana television programs, and time spent.
Abstract: Globalization gave rise to television, a significant source of instructional enrichment. It offers more comprehensive, advanced, and varied knowledge and instruction. Television has received a lot of flak for having a detrimental effect on secondary school pupils' academic achievement. Watching television could start to compete with studying time a...
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