The Effect of Individual Factors, Family Background and Socioeconomic Status on University

Mirashrafi, Seyed Bagher; Bol, Georg; Nakhaiezadeh, Gholamreza

doi:10.20533/licej.2040.2589.2013.0150

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Moreover, Jamali shows the increase of parent's educations level and father job's causes the increase of educational performances [7,8]. Additionally, all of these results in this study supported as well as the Mirashrafi et al studies [15,16,17]. Sacker and her colleagues [19] set out to test the model shown in Figure 1.…”

Section: Literature Reviewsupporting

confidence: 80%

Family Background and Socioeconomic Status Effects on Educational Performances by Data Mining Methods: A Case Study in Iran

Mirashrafi¹,

Khodaie²,

Jamali³

2016

IJCDSE

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This paper analyzes the effects of different aspects of family background such as family income, parental education, parental job, family size, and the socioeconomic status of parents on educational performance of higher education applicants in Iran. The gathered data from the Iranian university and college applications in 2010 is analyzed using data mining methods to investigate the effects of family background variables on entrance examination grades. The results of this analysis show that parental education, parental job, and the socioeconomic status of family have large effects on entrance examination grades, and as a result on university and college acceptance and also on educational performances. Results of this study provide a better understanding of the factors that could have significant impact on the applicant's admission, and as a result on the higher education achievement in Iran. Such insights can assist responsible people to make good decision about the relative advantages and limitations for higher education attainment.

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Section: Literature Reviewsupporting

confidence: 80%

Family Background and Socioeconomic Status Effects on Educational Performances by Data Mining Methods: A Case Study in Iran

Mirashrafi¹,

Khodaie²,

Jamali³

2016

IJCDSE

View full text Add to dashboard Cite

show abstract

“…Studies by (Ogor, 2007; Amrieh et al. , 2016), were on the financial status of one's guardians (Kumar and Pal, 2011; Borkar and Rajeswari, 2013; Martinez and Gomez, 2014), research on one's demography and (Garcia and Mora, 2011; Acharya and Sinha, 2014), is on the background of parents' education, while (Mirashrafi et al. , 2013) examines how gender bias determines poor academic success in the university in the long run.…”

Section: Review Of the Related Workmentioning

confidence: 99%

“…Moreover, others are attached to reasons such as fund, health, or family-related problems that are not within the academic setting, which distract learners and force them to quit. Studies by (Ogor, 2007;Amrieh et al, 2016), were on the financial status of one's guardians (Kumar and Pal, 2011;Borkar and Rajeswari, 2013;Martinez and Gomez, 2014), research on one's demography and (Garcia and Mora, 2011;Acharya and Sinha, 2014), is on the background of parents' education, while (Mirashrafi et al, 2013) examines how gender bias determines poor academic success in the university in the long run. The factors of falling out are those related to low SAP.…”

Section: Student Academic Performancementioning

confidence: 99%

The impact of big five personality trait in predicting student academic performance

Shaninah,

Mohd Noor

2023

JARHE

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PurposeThe study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.Design/methodology/approachThe authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.FindingsThe study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.Originality/valueThe process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.

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The Effect of Individual Factors, Family Background and Socioeconomic Status on University

Abstract: Abstract

Cited by 2 publications

References 7 publications

Family Background and Socioeconomic Status Effects on Educational Performances by Data Mining Methods: A Case Study in Iran

Family Background and Socioeconomic Status Effects on Educational Performances by Data Mining Methods: A Case Study in Iran

The impact of big five personality trait in predicting student academic performance

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