See Article Image indicates the analysis uses data coming from 25 countries due

See article image indicates the analysis uses data

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teachers, as Table I [Figure omitted. See Article Image.] indicates (the analysis uses data coming from 25 countries due to missing data). Finally, the analyses focus on teachers teachers working in upper secondary schools. This is done based on the results of a Pearson correlation analysis indicating a positive and strong correlation between salaries salaries of teachers teachers working in primary, lower lower secondary and upper secondary schools, as Table II [Figure omitted. See Article Image.] indicates (the analysis uses data coming from 25 countries due to missing data). Data analyses Data analyses The analyses were conducted in several sequential stages: Initially, correlations are computed among all variables identi fi ed in the literature review as potential predictors of teachers teachers' salary salary level in public education. Next, based on the literature review indicating that GDP per capita is positively correlated and the main and most dominant predictor of teachers teachers' salaries salaries in public education, a linear regression analysis with GDP per capita is conducted. This analysis enabled us to determine the coef fi cients of the linear
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equation for the expected teachers teachers' salaries salaries in public education: Equation 1 [Figure omitted. See Article Image.] This was followed by a graphical representation of the salary salary level in each country to search for non- linear patterns. In considering that GDP per capita fails to account for 100 percent of the variance in teacher teacher salary salary and that the GDP measure is correlated with the other variables identi fi ed in the literature review as potential antecedents for teachers teachers' salaries salaries, a residual analysis of teachers teachers' salaries salaries is conducted to assess the relative contribution of predictors other than the GDP per capita for explaining teachers teachers' salary salary level. A residual salary salary measure is de fi ned as the difference between the observed and the expected salary salary, as the following expression illustrates: Equation 2 [Figure omitted. See Article Image.] This measure represents whether the salary salary level in a given country is above (positive) or under (negative) the linear interpolation, and what the degree of deviation (its absolute value) is. Next, correlations are computed between the residual salary salary measure and potential educational and economic predictors that may account for teachers teachers' salaries salaries. Finally, using variables that have statistically signi fi cant correlation with the residual salary salary measure, a regression analysis is performed to indicate for the relative contribution of variables other than GDP per capita to explain the variance of the residual salary salary measure. Results Results A correlation analysis using all potential predictors of teachers teachers' salary salary level in public education reveals in line with previously reported fi ndings, that GDP per capita is highly correlated with teachers teachers' salaries salaries.
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