A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University

Table 5

Estimation of each standardized structural parameter for degrees at the UPV.

Start of the effect according to the model in Figure 1	End of the effect according to the model in Figure 1	Parameter		Engineering fields
Effect from	Effect until		Agronomy	Construction	Information and communications technology	Industrial engineering
Perception offer/demand in access year	Demand in first option access year	Γ23	.501*	.592*	.676*	.423*
Previous course registration	Offer of places access year	𝐵11	.198*	.335*	.644*	.216*
Offer of places last year	Offer of places access year	𝐵12	.218*	.321*	.612*	.299*
Offer of places access year	First option year access demand	𝐵21	.256*	.299*	.618*	.261*
Social factors	Demand for first option in access year	Γ21	.399*	.441*	.649*	.381*
Individual factors	Demand for first option in access year	Γ22	.643*	.678*	.612*	.551*
Correlation between social and individual factors		Φ21	.512*	.571*	.623*	.493*
Correlation between perception of offer and demand for places in first choice in the year prior to the year studied with individual factors		Φ32	.621*	.699*	.679*	.612*

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