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SUMMARY:A Study Of Gender Differences In The Selection Of Stem Courses At 
 University With Large Scale Assessment Data Of Invalsi
DTSTART;VALUE=DATE-TIME:20230131T131500Z
DTEND;VALUE=DATE-TIME:20230131T134000Z
DTSTAMP;VALUE=DATE-TIME:20260907T155305Z
UID:indico-contribution-655@cern.ch
DESCRIPTION:Speakers: Patrizia  Falzetti (INVALSI)\, Patrizia Giannantoni 
 ()\nIn the most recent years an effort of INVALSI has been addressed to th
 e match of its large scale population data with other sources of administr
 ative/survey data. Technical difficulties and privacy limitations made thi
 s process complex and challenging\, however\, a first linked dataset has b
 een recently developed joining together data from INVALSI\, MIUR and Unive
 rsity Register . This joint dataset allows researchers to have a wide set 
 of panel data in which each student is followed from primary school until 
 university enrolment and final exam. \nAbout 248.000 university students e
 nrolled in 2019/2020 are retrospectively match with their INVALSI test in 
 the previous year (2018/19) and with Ministry of Education Dataset in the 
 same year\, with a rate of perfect match of 96%.\nThe whole collection of 
 data in the joint dataset included: \n•	basic anagraphic data\, such as 
 gender\, migration background\, socio economic status as well as parental 
 education (INVALSI dataset\, validated through MIUR data on the same stude
 nts)\n•	Performance at cognitive tests (INVALSI dataset)\n•	Characteri
 stics of the school career and performance of the students: typology of hi
 gh school\, regularity\, teachers’ marks (INVALSI dataset)\n•	Informat
 ion about university career: year of enrolment\, class of discipline\, dat
 e and mark of final examination\nIn this work we present preliminary resea
 rch lines using the joint dataset to gain a better understanding of gender
  inequalities in the choice of STEM at university. The reference populatio
 n is a subgroup composed only by students attending a scientific lyceum in
  grade 13 of 2018/19\, who are supposed to pursue with a scientific discip
 line at university.  \nThe study delineates the significant differences be
 tween girls and boys in the selection of STEM  (42\,6% versus 54\,6%)\, wi
 th a difference of about 20% in favour of boys.\nThe most analytical part 
 of the research deals with models that aim to evaluate relevant factors fo
 r choosing STEM at University\, separately for girls and boys. We built up
  logistic regression models\, stratified for gender\, and estimated the im
 pact of factors pertaining to the demographic\, socio-economic and school/
 skills domains. \nIn the development of these models\, we address and disc
 uss some methodological issues\, about multicollinearity of socio-economic
  variables and selection of best model with AIC criterion. \nOur research 
 highlights that cultural factors\, i.e. mother’s educational attainment 
 have a stronger positive impact in the choice of STEM compared to socio-ec
 onomic factors. In a similar fashion\, in the selection of a highly scient
 ific course\, the mark in Mathematics given by teachers is more influentia
 l than standardized test scores obtained in the INVALSI test\; with a pred
 icted probability of choosing STEM increasing from 0.30 to 0.62 passing fr
 om weak to excellent mark in Mathematics.\n\nhttps://indico.unina.it/event
 /60/contributions/655/
LOCATION:Complesso S. Marcellino e Festo G4
URL:https://indico.unina.it/event/60/contributions/655/
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