2017
DOI: 10.1007/s35834-017-0190-7
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Was bedeutet es für den Geschlechterunterschied in der Mathematikkompetenz bei PISA, wenn dem Schulsystem leistungsschwache Jungen verloren gehen?

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Cited by 4 publications
(5 citation statements)
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“…To the best of our knowledge, no previous study has empirically investigated this hypothetical relationship between school enrollment and gender achievement gaps. Salchegger and Suchań (2018) did, however, follow the same argument in a simulation analysis. They proceeded from the observation that boys had a large mean advantage over girls in the PISA 2015 mathematics test in Austria and suggested that this might relate to the higher proportion of male out-of-school teenagers compared to female ones.…”
Section: Linked By Design: Gender Gaps In School Enrollment and Schoo...mentioning
confidence: 64%
“…To the best of our knowledge, no previous study has empirically investigated this hypothetical relationship between school enrollment and gender achievement gaps. Salchegger and Suchań (2018) did, however, follow the same argument in a simulation analysis. They proceeded from the observation that boys had a large mean advantage over girls in the PISA 2015 mathematics test in Austria and suggested that this might relate to the higher proportion of male out-of-school teenagers compared to female ones.…”
Section: Linked By Design: Gender Gaps In School Enrollment and Schoo...mentioning
confidence: 64%
“…A first strand comprises the small literature comparing the productivity of a grade of schooling across countries (Singh, 2019[1]; Jones et al, 2014[2]), and the more extensive literature that quantifies the grade gain based on longitudinally-linked assessments, within a single education system (Prenzel et al, 2006 [3]; Nagy et al, 2017[4]; Andrabi et al, 2011 [5]; Chetty, Friedman and Rockoff, 2014 [6]; Kane and Staiger, 2008[7]). Among the former comparative studies, several contributions have previously used cross-sectional data from PISA (as in the present study) or from other international large-scale assessments to identify the contribution of schooling to the grade gain.…”
Section: Related Literaturementioning
confidence: 99%
“…All statistical inference accounts for this complex sample design through resampling methods (replicate weights used to this end are provided with PISA databases). 3 While PISA data provide a common metric for learning outcomes across education systems that vary significantly in their structure and curricula, they typically are collected over a short data collection period from a single cohort of students (defined by a 12-month window in birthdates). In light of this limited variation, PISA data cannot be readily used to identify the progress that students make from one grade to the next, around the age of 15.…”
Section: Datamentioning
confidence: 99%
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“…In the European Union, women are underrepresented in senior academic positions (EU, 2012), and larger numbers of board members in European and U.S. companies are represented by men (Backus et al, 2016). Although women and men do not differ considerably in their skills and abilities (see Hyde et al, 1990), aptitude tests have painted a different picture with respect to test performance (see Mau and Lynn, 2001): Analyses have revealed cross-national sex differences in performances on college and aptitude tests (Else-Quest et al, 2010; Salchegger and Suchan, 2018). Whereas in general differences in verbal ability and writing tests favor girls (Reilly et al, 2018), differences in math tests favor boys (Reilly et al, 2015).…”
Section: Introductionmentioning
confidence: 99%