The Role of Students’ Characteristics and Family Background in Iranian Students’ Mathematics Achievement

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110041
Author(s):  
Mohammad Salehi ◽  
Samaneh Gholampour

Cheating is an academically dishonest behavior about which there has been a thrust of research. However, it has not been extensively researched in an Iranian context. Therefore, the current study was conducted with 310 Iranian students. A cheating questionnaire was devised and administered to the participants. Certain demographic variables were investigated. Both descriptive and inferential statistics were employed to analyze the obtained data. The results of the descriptive statistics revealed that cheating was common among participants, and most students did not harbor any negative attitude toward cheating or at least were neutral about it. The most common method of cheating was “letting others look at their papers while taking exams.” The most common reason for cheating was “not being ready for the exam.” As for inferential statistics, one-way analysis of variance, an independent t-test, and correlational analyses were used to test the effect and relationship of demographic variables on and between the cheating behaviors of the participants. It was found that none of the two demographic variables of gender and year level had any effect on students’ cheating behaviors. Furthermore, achievement scores and age were not significantly correlated with cheating behavior scores.


2011 ◽  
Vol 22 (2) ◽  
pp. 310-339 ◽  
Author(s):  
Anastasia Kitsantas ◽  
Jehanzeb Cheema ◽  
Herbert W. Ware

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Olga V. Sorokina

Abstract While the large disparities in educational attainment by socioeconomic status in the United States point towards the importance of credit constraints, there is no consensus in the economic literature regarding their pervasiveness. To evaluate how subjective information can enhance our understanding of the role of credit constraints in education, I focus on NLSY79 respondents' assessments of financial obstacles to schooling. About 12 percent of young adults in the data expect to underinvest in education because of financial reasons or the need to work. Using this information in a regression model of educational attainment shows that it provides valuable behavioral insights, above and beyond standard measures of income and family background.


2016 ◽  
Vol 50 ◽  
pp. 260-269 ◽  
Author(s):  
Maria G. Tosto ◽  
Kathryn Asbury ◽  
Michèle M.M. Mazzocco ◽  
Stephen A. Petrill ◽  
Yulia Kovas

2021 ◽  
pp. 000312242110491
Author(s):  
Giampiero Passaretta ◽  
Jan Skopek

Does schooling affect socioeconomic inequality in educational achievement? Earlier studies based on seasonal comparisons suggest schooling can equalize social gaps in learning. Yet recent replication studies have given rise to skepticism about the validity of older findings. We shed new light on the debate by estimating the causal effect of 1st-grade schooling on achievement inequality by socioeconomic family background in Germany. We elaborate a differential exposure approach that estimates the effect of exposure to 1st-grade schooling by exploiting (conditionally) random variation in test dates and birth dates for children who entered school on the same calendar day. We use recent data from the German NEPS to test school-exposure effects for a series of learning domains. Findings clearly indicate that 1st-grade schooling increases children’s learning in all domains. However, we do not find any evidence that these schooling effects differ by children’s socioeconomic background. We conclude that, although all children gain from schooling, schooling has no consequences for social inequality in learning. We discuss the relevance of our findings for sociological knowledge on the role of schooling in the process of stratification and highlight how our approach complements seasonal comparison studies.


2020 ◽  
pp. 088626052097582
Author(s):  
Saeed Kabiri ◽  
Jaeyong Choi ◽  
Seyyedeh Masoomeh (Shamila) Shadmanfaat ◽  
Julak Lee

The role of routine activity theory (RAT) as a guiding theoretical approach to understand online victimization has been well documented. However, the recent emphasis in criminology on its applicability to online victimization has largely been based on evidence from Anglo-American studies. This study fills this gap by testing the predictive utility of RAT for cyberstalking victimization, using data from a sample of female Iranian students. Our structural equation model showed that online exposure to motivated offenders, target suitability, and ineffective online guardianship were positively and significantly associated with cyberstalking victimization. Our results provide strong support for RAT, indicating its generalizability to a different sociopolitical context.


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