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  • 标题:Spatial Variations in the Educational Performance in Slovak Districts
  • 本地全文:下载
  • 作者:Michaela Chocholatá
  • 期刊名称:Statistika : Statistics and Economy Journal
  • 印刷版ISSN:0322-788X
  • 电子版ISSN:1804-8765
  • 出版年度:2020
  • 卷号:100
  • 期号:2
  • 页码:193-203
  • 语种:English
  • 出版社:Czech Statistical Office
  • 摘要:This paper deals with the spatial analysis of the educational performance measured by the average percentage Maths scores achieved in individual districts of Slovakia in Testing 9 during the school year 2018/2019. Besides identification of the spatial patterns in test scores achievements, the paper tries to investigate the impact of selected socio-economic variables (average nominal monthly wage and unemployment rate) onto the test scores achievements. Since we suppose the significant impact of the socially disadvantaged background onto the test results, corresponding dummy variable was taken into consideration as well. The ordinary least squares (OLS) estimation of the global linear regression model was followed by the local spatial approach using the geographically weighted regression (GWR) to capture the geographical variability of estimated parameters. Spatial variations in the relationship among the educational performance and the selected socio-economic variables were confirmed.
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