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Educational Research and Evaluation
An International Journal on Theory and Practice
Volume 24, 2018 - Issue 1-2
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Articles

Inequality in top performance: an examination of cross-country variation in excellence gaps across different levels of parental socioeconomic status

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Pages 68-87 | Received 09 Sep 2017, Accepted 31 Aug 2018, Published online: 31 Oct 2018

Figures & data

Table 1. Overview of country-specific characteristics for each country (N = 31).

Table 2. Descriptive statistics of all variables analysed.

Figure 1. The percentage of top-performing students in reading within each category of parental SES (N = 31).

Source: PISA 2015.

Figure 1. The percentage of top-performing students in reading within each category of parental SES (N = 31).Source: PISA 2015.

Figure 2. The percentage of top-performing students in mathematics within each category of parental SES (N = 31).

Source: PISA 2015.

Figure 2. The percentage of top-performing students in mathematics within each category of parental SES (N = 31).Source: PISA 2015.

Table 3. Logistic multilevel regression analysis of the probability to be a top-performing student in reading.

Table 4. Logistic multilevel regression analysis of the probability to be a top-performing student in mathematics.