Degree course change and student performance: a mixed-effect model approach

Adelfio, Giada; Boscaino, Giovanni

doi:10.1080/02664763.2015.1018673

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…Student performance varies according to individual characteristics and school-level environments. Thus, a mixed-effects model that accounts for a hierarchical data structure with students nested in schools is a popular approach for analyzing student performance [19][20][21]. Similarly, the performance of hospitals and doctors has been frequently evaluated using a mixed-effects model because patients are intrinsically grouped by where they are hospitalized [22][23][24].…”

Section: Mixed-effects Modelmentioning

confidence: 99%

Analyzing sales of the Korean restaurant franchise during the COVID-19 pandemic with the mixed-effects model approach

Lee,

Koo

2023

PLoS ONE

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Using point-of-sales (POS) data, the sales trends of 48 member stores of a Korean restaurant franchise during the COVID-19 pandemic were analyzed. As daily sales are nested in each member store of a franchise, the hierarchical structure of POS data was fully and effectively utilized by employing a mixed-effects model. The results showed that although sales volumes in all member stores were negatively affected by the pandemic, the level of impact varied according to store location: sales at some stores were drastically reduced, while a few others even achieved a slight increase in sales during the pandemic. These findings suggest that the government support policy for small business owners should be designed in a locally optimized way, to take account of neighborhood characteristics and the degree of sales loss for individual business owners.

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Section: Mixed-effects Modelmentioning

confidence: 99%

Analyzing sales of the Korean restaurant franchise during the COVID-19 pandemic with the mixed-effects model approach

Lee,

Koo

2023

PLoS ONE

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“…The final grades attained in high school exert a positive effect on performance for both 'good' and 'average' students. Yet, lyceum students from the south who migrate to the north generally perform slightly better than lyceum stayers (both southerners and northerners) (Adelfio & Boscaino, 2016;Adelfio et al, 2014). The differences in performance between STEM movers and stayers in an environment of almost unidirectional migration flows from the south to the north of Italy can be read through various lenses.…”

Section: Being a Mover In The Italian He Systemmentioning

confidence: 99%

Movers and stayers in STEM enrollment in Italy: who performs better?

D’Agostino

Ghellini

Lombardi

2021

Genus

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Recently, the mobility behavior of Italian university students has garnered increasing interest from both social scientists and politicians. The very particular geographical characteristics of the country, together with the recognized persistence of a significant economic gap between the southern and northern regions, drive a large number of students to move from the first macro-region to the latter. As this phenomenon has several economic and social implications for policy-makers—at both central and local levels—it has led to various theories and prejudices. The present article will study the differences between the performance of STEM students who have decided to move from the south to the north and those who have decided to stay close to their hometowns. We devised multilevel modelling techniques to analyze this issue using administrative microdata from the Italian Ministry for Universities and Research (MUR), including eight cohorts of students from AY 2008–2009 to AY 2015–16, who enrolled in STEM fields after earning their high school diploma. One of the main findings is that individuals who moved from the south show lower levels of performance than their stayer counterparts who are enrolled in northern or central universities.

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“…For example, Salehi and Roudbari (2015) model the number of failed subjects and semesters by means of zero-inflated Poisson and zero-inflated negative binomial regressions. Adelfio and Boscaino (2016) focus on students' credit earning rate over time and its determinants. In particular, a mixed-effect zero inflated negative binomial model for overdispersed data is considered in Adelfio and Boscaino (2016), aiming to account for individual variability as well.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Adelfio and Boscaino (2016) focus on students' credit earning rate over time and its determinants. In particular, a mixed-effect zero inflated negative binomial model for overdispersed data is considered in Adelfio and Boscaino (2016), aiming to account for individual variability as well.…”

Section: Literature Reviewmentioning

confidence: 99%

Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance

et al. 2019

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The purpose of this work is to present suitable statistical methods to study the performance of undergraduate students based on the incidence/proportion of failed courses/subjects. Three approaches are considered: first, the proportion of failed subjects is modeled considering a zero-one augmented beta distribution; second, discrete models are used to model the probability of failing subjects with logit link; third, incidence is modeled using regression for count data with log link and the logarithm of the total number of subjects as an offset. Zero-inflated versions are used to account for the excess of zeros in the data when appropriate and we also considered the heterogeneous dispersion parameter, when applicable. Overall, the zeroinflated negative binomial and zero inflated beta-binomial models, with regression on the mean and the dispersion parameters, present good measures of goodness of fit to the data. The database consists of records of Engineering major students who entered the State University of Campinas, Brazil, from 2000 to 2005. Entrance exam scores and demographic variables as well as socio-economic status are considered as covariates in the models.

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Degree course change and student performance: a mixed-effect model approach

Cited by 10 publications

References 21 publications

Analyzing sales of the Korean restaurant franchise during the COVID-19 pandemic with the mixed-effects model approach

Analyzing sales of the Korean restaurant franchise during the COVID-19 pandemic with the mixed-effects model approach

Movers and stayers in STEM enrollment in Italy: who performs better?

Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance

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