The importance of educational opportunity inequality has been increasing within the context of education systems during recent years. In addition to quality in education, opportunity equality is among the significant paradigms in countries of high educational performance. Thus, it is of utmost importance to research the relationship between socio-economic characteristics of the students and achievement based on opportunity equality. Especially to remove the gap observed in Turkish literature is among the objectives of the present study. The main objective of the study is to assess the socio-demographic characteristics that affect the achievement of students in mathematics within the context of educational opportunity equality for PISA 2012 Turkey sample. Data analysis was conducted with quantile regression (QR) and classical linear regression (OLS). As a result, it was determined that students' family background, familiarity with information and communication technology and school climate were affective on mathematics achievement. It was observed that as parentel education, educational resources at home, and index of familty wealth increased, mathematics achievement increased as well. It was also observed that time of computer use had a negative effect on achievement in mathematics. Furthermore, study findings identified that the achievement of male students was higher than females.
The aim of this study is to determine the factors that affect the wellbeing at work of a particular group within the Victorian public sector: those who are directly responsible for the delivery of justice to offenders, namely corrections officers. Corrections staff, as front-line workers in the corrections system, have an important role in the rehabilitation and reintegration of offenders. The study is based on data from The People Matter Survey 2005 that sought to measure Victorian public sector employees' perceptions of how well the public sector values and employment principles were applied within their organisations. In this study we used data from 230 employees from Corrections Victoria who participated in the survey and used multilinear regression to analyse the factors affecting the level of workplace wellbeing. This study found that the most important factors affecting workplace wellbeing of the workers are Fair and Reasonable Treatment (FRT), Accountability (AC), and Senior Management (SM). Other findings included that the levels of workplace wellbeing of bullied or harassed staff was less than non-bullied or harassed staff.
It has been understood that it is not enough to consider just certain macro-economic indicators to determine the development level of countries. Human Development Index (HDI), which is a part of the Human Development Report (HDR) published by United Nations Development Programme (UNDP) is a complex index prepared for this end with a focus on education and health as well as income. Yet, once it was realized that this index had certain limitations, some other indices were created. Happy Planet Index (HPI), which was first used by New Economic Foundation (NEF) in 2006, is one of these indices. In this study, canonical correlation analysis, a multivariate statistical method was applied to examine the relation between HDI and HPI calculated for 150 countries. The empirical findings of the study have revealed that there is a very strong and meaningful canonical relation between HDI and HPI.
Today, despite the increase in global wealth, the income gap between the rich and the poor gradually widens. This gap is significant in both developed and developing nations. Thus, increasing income inequality adversely affects several socio-economic indicators. Previous studies demonstrated that one of the socio-economic indicators that were negatively affected by income inequality is population health. The income inequality experienced by the individuals or throughout life adversely affects several populations' health outputs, especially life expectancy at birth. The present study aimed to test the correlation between income inequality and population health output indicators with canonical correlation method and based on the most current data available for several nations. To determine the correlation between the two datasets, the 2017 data for 29 European countries and Turkey were analyzed. Canonical correlation analysis revealed a significant correlation between the income inequality and population health indicator datasets.
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