Emotional Intelligence and At-Risk Students
Author(s) -
Abdullah Maria Chong,
Phaik Gaik Lee,
Samsilah Roslan,
Maznah Baba
Publication year - 2015
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/2158244014564768
Subject(s) - psychology , emotional intelligence , juvenile delinquency , pornography , empathy , developmental psychology , dishonesty , social psychology , psychoanalysis
This study examined the relationships between emotionalintelligence (EI) and the delinquent behavior (DB) of the students. The level of DBreported by the students is categorized under the headings of crime, drugs, vandalism,pornography and sexual behavior, other misbehavior, and dishonesty. Meanwhile, EI isinvestigated by looking at the level of EI domains, such as self-awareness,self-regulation, self-motivation, empathy, social skills, maturity, and spiritualawareness. Data were gathered from a sample of 300 secondary school students aged 15 to18 years in Selangor. The schools they attended were selected from the so-called“hardcore schools,” which were identified by Schools Division in the State of Selangor.Two instruments, namely, surveys on the “Behavior of Students” and “Malaysian EmotionalQuotient Inventory (R)–Adolescence (MEQI),” were utilized to collect the research dataand were analyzed using SPSS 19.0. The data showed that the highest delinquency amongthe adolescents was misbehavior in school, followed by crime, vandalism, pornography,dishonesty, and drugs. Results also revealed a negative linear relationship between EI(r = −.208, n = 300, p = .001) and DB, implying that adolescents with better EI hadlower levels of delinquency. Multiple regression analysis revealed that EI is asignificant predictor of DB and self-awareness is the main factor of DB. This studycontributes to the knowledge of the importance of EI in understanding DB. EI can be usedto identify and discriminate emotional skills among those adolescents who exhibit DB.Addressing the role of EI as a predictor would probably prove to be effective inreducing DB
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