Identify the most explainable predictive model of self efficacy in the choice of the course for students of the fourth year average by using the multiple linear regression equation a field study in SETIF

Abstract

The present study aims to detect the most descriptive (more predictable)
predictive model of self-efficacy in the choice of the carrier for students of the fourth
grade in middle school, depending on the statistical standard of the R2 selection
coefficient, which is a statistic reflecting the explanatory power of the predictive models
in multiple linear regression equations in a variety of ways, including the gradual
regression method (used in the current study ), so the study was applied to a sample of
549 students of the fourth year grade distributed on 7 middle schools out of 34 in the
municipality of Setif selected randomly. In addition a scale was built for Measurement
of self-efficacy about the choice of specialization (scientific-literary) based on the
sources of self-efficacy (verbal persuasion, alternative experiences, physiological State,
performance achievements), and the study found that the predictive model containing
the four sources combined is the strongest in terms of The explanation, and the proof of
that, is the value of its selection coefficient, which is estimated to be: R-2 equals 0.996