Skoči na glavni sadržaj

Pregledni rad

https://doi.org/10.31298/sl.147.7-8.6

How the results of state secondary high school final exams influence the average grade and duration of undergraduate study at Faculty of forestry and wood technology, University of Zagreb?

Anamarija Jazbec ; Fakultet šumarstva i drvne tehnologije Sveučilišta u Zagrebu


Puni tekst: hrvatski pdf 424 Kb

str. 375-382

preuzimanja: 93

citiraj


Sažetak

Abstract
This study was motivated by a discussion how the results of state maturity influence on academic undergraduate performance (average mark) and the number of year students take to complete their undergraduate studies (study duration). There are three compulsory subjects on the state maturity: Mathematics (MATH), Croatian (CRO) and foreign (FORL) language. MATH and CRO can be deployed on two levels. Were analysed data using data from a questionnaire among 257 graduates from 2016 to 2018.(Table 1) A multivariate linear regression was used to analyse if and how marks of subjects from state maturity predict undergraduate study achievement: average mark and duration of study with logarithmic transformation. In order to consolidate these results, we used canonical correlation as a variation on the concept of multivariate regression and correlation analysis. analyse the relationship between two sets of variables, maturity marks: MATH, CRO and FORL and undergraduate performance: duration and average mark of study. Mark of MATH on maturity is statistically significant predictor of average mark and duration of undergraduate study (Table 4). The higher MATH the higher average grade of the study and the shorter duration of the study. Results of canonical correlation shows that only the first canonical correlation rc1=0.3576 is statistically significant F(6,392)=5.43, p<0.001. The first canonical variate for undergraduate performance shows most weight on average mark than duration of study.

Ključne riječi

forestry students; wood technology students; state maturity; undergraduate study performance; multivariate regression; canonical correlation

Hrčak ID:

307853

URI

https://hrcak.srce.hr/307853

Datum izdavanja:

31.8.2023.

Podaci na drugim jezicima: hrvatski

Posjeta: 252 *