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  • 1. Differences in the Distribution of High School Achievement: The Role of Class Size and Time-in-term Archived
    Articles and reports: 11F0019M2005270
    Geography: Canada
    Description:

    This paper adopts the decomposition technique of DiNardo, Fortin and Lemieux (DFL, 1996) to decompose provincial differences in the distribution of Programme for International Student Assessment (PISA) test scores and assesses the relative contribution of provincial differences in the distribution of "class size" and time-in-term, other school factors and student background factors. Class size and time-in-term are both important school choice variables and we examine how provincial achievement differences would change if the Alberta distribution of class size and time-in-term prevailed in the other provinces. Results differ by province, and for provinces where mean achievement gaps would be lower, not all students would benefit.

    Release date: 2005-11-22
  • 2. Provincial differences in high school achievement: Do schools matter? Archived
    Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Differences in the Distribution of High School Achievement: The Role of Class Size and Time-in-term Archived
    Articles and reports: 11F0019M2005270
    Geography: Canada
    Description:

    This paper adopts the decomposition technique of DiNardo, Fortin and Lemieux (DFL, 1996) to decompose provincial differences in the distribution of Programme for International Student Assessment (PISA) test scores and assesses the relative contribution of provincial differences in the distribution of "class size" and time-in-term, other school factors and student background factors. Class size and time-in-term are both important school choice variables and we examine how provincial achievement differences would change if the Alberta distribution of class size and time-in-term prevailed in the other provinces. Results differ by province, and for provinces where mean achievement gaps would be lower, not all students would benefit.

    Release date: 2005-11-22
  • 2. Provincial differences in high school achievement: Do schools matter? Archived
    Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13
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