2019
DOI: 10.1007/s11516-019-0003-y
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What Do Students Know about University Rankings? Testing Familiarity and Knowledge of Global and Domestic University League Tables in China

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Cited by 8 publications
(5 citation statements)
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“…As such, Christie (2017) provides evidence that the significance of the league table for the publisher is in establishing their trustworthy status, employment measurement and to compare with other stakeholders. Allen (2019) found that, in the Chinese context, students preparing to study aboard were more curious about university ranking, had more educated parents and were also very keen to understand university ranking, demonstrating that families with higher degrees and higher capital paid more attention to these elite status symbols. On the basis of this research, it is likely that HEIs disclose information about their indicators based on LTR and this leads to the third hypothesis: Hypothesis 3 (H3).…”
Section: League Table Ranking Positionmentioning
confidence: 99%
“…As such, Christie (2017) provides evidence that the significance of the league table for the publisher is in establishing their trustworthy status, employment measurement and to compare with other stakeholders. Allen (2019) found that, in the Chinese context, students preparing to study aboard were more curious about university ranking, had more educated parents and were also very keen to understand university ranking, demonstrating that families with higher degrees and higher capital paid more attention to these elite status symbols. On the basis of this research, it is likely that HEIs disclose information about their indicators based on LTR and this leads to the third hypothesis: Hypothesis 3 (H3).…”
Section: League Table Ranking Positionmentioning
confidence: 99%
“…Low frequency means that participants never or almost never experienced the listed forms of bullying events while high frequency indicates that respondents experienced at least one of the listed bullying events a few times a year or more (see Table 4). Further, inspired by previous logistic regression models used to understand Chinese students' perceptions of and experiences with an educational phenomenon (Allen, 2019), we conducted the research developing a stepwise binary logit model (Pallant, 2016). Utilizing SPSS software Version 28.0, the whole analytical process of data began with the entrance of demographic variables to create a predictive model (Model 1), which was followed by the addition of other variables of interest, namely the teachersupport model (Model 2), the sense-of-belonging model (Model 3), and the school-climate model (Model 4).…”
Section: Analytic Proceduresmentioning
confidence: 99%
“…Studies have been conducted to assess the effect of university rankings on the selection preferences of prospective students. A study mapped Chinese students' knowledge of university rankings using a survey of more than 900 students and found that thirty percent of the students was aware of ranking positions 6 . On the other hand, progress achieved in ranking lists had little or no effect on the students' choice of university 2 .…”
Section: Introductionmentioning
confidence: 99%