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DC Field | Value | Language |
---|---|---|
dc.contributor.author | محمد بوجرادة | - |
dc.contributor.author | عبد العزيز بن عبد المالك | - |
dc.date.accessioned | 2019-06 | - |
dc.date.available | 2019-06 | - |
dc.date.issued | 2019-06 | - |
dc.identifier.issn | 1112 - 9263 | - |
dc.identifier.uri | http://dspace.univ-ouargla.dz/jspui/handle/123456789/22161 | - |
dc.description | Psychological & Educational Studies Review | en_US |
dc.description.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 | en_US |
dc.language.iso | other | en_US |
dc.relation.ispartofseries | number 23 June 2019 V12,N2; | - |
dc.subject | predictive model | en_US |
dc.subject | carrier | en_US |
dc.subject | self-efficacy | en_US |
dc.subject | multiple linear regression | en_US |
dc.title | تحديد النموذج التنبؤي الأكثر تفسيرا للفعالية الذاتية في اختيار المسار الدراسي لتلاميذ السنة الرابعة متوسط باستخدام معادلة الانحدار الخطي المتعدد | en_US |
dc.type | Article | en_US |
Appears in Collections: | number 23 2019 vol 12 n 2 |
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