FACTORS AFFECTING ENGLISH READING COMPREHENSION ABILITY: INVESTIGATING THE ROLE OF EI, GENDER, AND MAJOR

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FACTORS AFFECTING ENGLISH READING COMPREHENSION ABILITY: INVESTIGATING THE ROLE OF EI, GENDER, AND MAJOR TAYEBEH FANI Sama Technical and Vocational Training College, Islamic Azad University, Tehran branch, Tehran, Iran E-mail: fani_tayebeh@yahoo.com Abstract Thetopic of emotional intelligence(ei) is controversial. Debates rage on and critical questions continue to arise as to the concept of EI, as well as its definition, nature, measurement, and application. The construct is a relatively new concept with little empirical research.this study was an attempt to investigate the relationship between EI, gender, major, and reading comprehension ability of Iranian EFL learners. To achieve this end, 385Iranian studentsstudyingaccounting (114), architecture (113), and software engineering (158)took a reading comprehension test and completed the Bar-On EQ-i.It was found that females outperformed males in the reading comprehension test. However, no significant relationship was found between gender and major on one hand and reading comprehensions ability on the other hand.the relationship between major and reading comprehension ability was also statistically significant. Furthermore,it was found that there was no significant relationship between gender and major on one hand and EI in general on the other hand. The implications of the study are then discussed. Index Terms EFL, EI, Emotional Intelligence, Gender, Major, Reading Comprehension. I. INTRODUCTION There is difficulty in providing an operational definition of EI that is accepted by all has been largely due to the differing names given to emotional intelligence [1]. The reason EI models differ has to do with the fact that these models were developed by different people for different purposes. Chernis [2] cites an example of Salovey and Mayer's model, which was developed deductively to Goleman's and Bar-On's models that were developed inductively. Other proponents of EI agree that although differences between several major models do exist, there is considerable overlap among them [3]. They further argue that, in fact, Goleman's dimensions of self-awareness and social awareness are similar to Salovey and Mayer's perception of emotion and understanding of emotions, as well as to Bar-On's self-awareness and empathy subscales. Similarly, Bar-On's interpersonal, stress management, and adaptability dimensions relate to Mayer and Salovey's emotional facilitation of thinking and managing emotions, as well as Goleman's self- management and relationship management dimensions. Thus, according to both these academic and practitioner emotional intelligence researchers, although differences in these models exist, there are also many similarities that cannot be ignored. Regardless of the models used, EI researchers agree that in addition to emotional management, EI encompasses emotional awareness in relation to self and others, that EI is important in predicting successful life outcomes, and that it has the potential to be learned and developed with proper training [4]. The present study was an attempt to find the role of three factors that affect English reading comprehension ability of EFL learners namely, EI, gender, and major. In fact, it was an attempt to answer the following questions: Research question 1: Is there a significant relationship between gender, major and reading comprehension ability? Research question 2: Is there a significant relationship between gender, major, and EI? Research Question 3: Is there a significant relationship between gender, major,five EI scales on one hand and reading comprehension ability on the other hand? II. REVIEW OF THE RELATED LITERATURE A. Emotional Intelligence EI is a relatively new concept based on the tradition of multiple intelligences. EI can be traced back to the work of Thorndike [5] who introduced the concept of Social Intelligence in his Multi-Factor theory of intelligence. Recently, as a behavioral model, rising to prominence with Danial Goleman s 1995 book by the name of Emotional Intelligence [5]. However, the early Emotional Intelligence theory was originally developed during the 1970 s and 80 s by the work and writings of psychologist in Harvard, Yale, and New Hampshire universities [7]. The basic principles of EI are identifying, managing, understanding, and regulating emotions [5]. B. Bar-On s Model of EI Bar-On's model of emotional intelligence relates to the potential for performance and success, rather than performance or success itself, and is considered process-oriented rather than outcome-oriented [6]. It focuses on an array of emotional and social abilities, including the ability to be aware of, understand, and express oneself, the ability to be aware of, understand, 106

and relate to others, the ability to deal with strong emotions, and the ability to adapt to change and solve problems of a social or personal nature [6]. In his model, Bar-On outlines 5 components of emotional intelligence: intrapersonal, interpersonal, adaptability, stress management, and general mood. Bar-On posits that EI develops over time and that it can be improved through training, programming, and therapy [6]. C. Gender Differences in Emotional Intelligence Competing evidence exists surrounding whether or not males and females differ significantly in general levels of emotional intelligence. Daniel Goleman [9] asserted that no gender differences in EI exist, admitting that while men and women may have different profiles of strengths and weaknesses in different areas of EI, their overall levels of EI are equivalent. However, other studies have found that women are more likely to score higher on measures of EI than men, both in professional and personal settings[8], [9], [10]. The discrepancy may be due to measurement choice. In a study[11] it was found that females scored higher than males on EI when measured by a performance measure (the Mayer-Salovey-Caruso Emotional Intelligence Test). However, when using self-report measures such as the Bar-On EQ-i and the Self-Report Emotional Intelligence Test (SREIT), they found no evidence for gender differences. Perhaps gender differences exist in EI only when one defines E.I. in a purely cognitive manner rather than through a mixed perspective. It could also be the case that gender differences do exist but measurement artifacts such as over-estimation of ability on the part of males are more likely to occur with self-report measures. More research is required to determine whether or not gender differences do exist in EI. According to a new study, there are several notable differences between men and women in EI. Men seen to have significantly stronger interpersonal skills than their men counterparts do, men appear to have a stronger sense of self and deal better with stress. According to Stein, women were more aware of their feelings and those of others, relate better interpersonally, and are significantly more socially responsible than men. On the other hand, men seem to have stronger self-regard and cope better with immediate problems of a stressful nature than women[12]. The result of another study showed that the relationship between gender and EI among two hundred and sixty predominantly white participants completed a measure of trait EI and estimated their scores[12]. Findings indicated that females scored higher than males on the social skills factor of measured trait EI. Nonetheless, studies have largely ignored the relationship between EI, gender, major and reading comprehension ability in an EFL context. III. METHODOLOGY This study focuses on the relationship between EI, gender, major, and reading comprehension ability of Iranian EFL learners. This section addresses the method adopted for conducting the present study. The participants of the study, instruments used for data collection, and the data collection procedures are followed by. A. Participants A community sample of 385 people participated in this study, comprised of 138 males and 247 females within the age ranges of 18 and 28 (M= 20.3, SD=3.5). The participants were university students at Sama Technical and Vocational Training College, Tehran branch in Iran, majoring in accounting (114), architecture (113), and software engineering (158). They were all taking General English course at the time of the research. These students were asked if they would volunteer to complete a questionnaire on EQ in a study on Emotional Intelligence and Second Language Learning. Out of 385 participants, 268 participants (about 70%) accepted to complete the Bar-On EQ-i which included 133 items. B. Measures and Procedures The participants completed the Bar-On EQ-I (1997) in June, 2014. The Bar-On EQ-i was a self-report scale, including 133 items, which measured five broad areas of skills or competencies and 15 factorial components. An example from the EQ questionnaire is It does not bother me to take advantage of people, especially if they deserve it. Subjects respond on a 5-point Likert type scale continuum from Very seldom or Not true of me to Very often or True of me. For the EQ-i [6] high and low scores were identified by their distance from the mean score of 100. Scores exceeding the mean or falling below the mean by 1 SD (15 points) were considered to be within the normal range. Since the test was timed, the participants were asked to complete it in 40 minutes. To avoid any misunderstanding regarding the content of the questionnaire for lower-level students, the translated version of this questionnaire [13]was employed. In this study, the reliability of the translated version estimated through Cronbach s alpha was found to be acceptable (r= 0.86). To determine the role of EI in reading comprehension ability of Iranian EFL learners, a reading comprehension test was also administered to the participants (r=0.81). This test was comprised of 28 questions and the time allotted was 40 minutes. CONCLUSION In order to answer the research questions, Kolmogorov-Smirnov Test,Two Way Analysis of Variance (AVOVA), Bonferroni post hoc test,and Multivariate Regression Analysis were used. Table I 107

shows the information regarding the gender and major of the participants of this research. Table I Gender Frequency Distribution Table A. Normality Test of Research Variables The Kolmogorov-Smirnov Test (K S test or KS test) was used to determine whether the research variables were normally distributed. The Kolmogorov-Smirnov Test results showed that the participants scores in total EI and reading comprehension ability was normally distributed (p= 0.05). Since p-value was more than 0.05 for the research variables, mean and standard deviation were used for the descriptive analysis of the data (Table II). Parametric tests were also used to test the research hypotheses. Table II The Kolmogorov-Smirnov Test Research Question 1: Is there a significant relationship between gender, major and reading comprehension ability? In order to investigate the relationship between gender, major and reading comprehension ability, the two-way ANOVA was used. As Table IV shows, there was no significant relationship between gender and major on one hand and reading comprehensions ability on the other hand (p>0.05). Besides, the relationship between gender and reading comprehension ability was statistically significant (p<0.05, F=4.728). That is, the reading comprehension ability of female students was higher than males. Furthermore, the relationship between major and reading comprehension ability was also statistically significant (p<0.05, F=4.364). In fact, the reading comprehension ability of the participants was statistically significant in different majors. Bonferroni post hoc test results for comparing means demonstrated that the mean score of the reading comprehension ability of architecture students was significantly higher that the accounting and computer students. The mean score of the reading comprehension ability of the accounting and computer students was not statistically significant. Results are shown in Table V. Table IV Two-way ANOVA: Gender, Major and Reading Comprehension Ability B. Descriptive Statics of the Data The mean and standard deviation of the reading comprehension scores revealed that: The mean of reading comprehension scores of females, in general and for computer and architecture students was higher than males. The mean of reading comprehension scores of students majoring in accounting was almost the same for males and females. The standard deviation of reading comprehension scores of females in general, and for students majoring in computer and accounting was higher than males. Likewise, the standard deviation of reading comprehension scores of females majoring in architecture was lower than males. Results are presented in Table III. Table III The Mean and Standard Deviation of Reading Comprehension Scores Table V Bonferroni Post-Hoc Test Results Research Question 2: Is there a significant relationship between gender, major, and EI? In order to answer the research question 2, two-way ANOVA was run. The results are shown in Tables VI and VII. It was found that there was no significant relationship between gender and major on one hand and EI in general on the other hand (p>0.05). In fact, the general EI of males and females in different majors wan not statistically significant. Besides, There was no significant relationship between gender and general EI (p>0.05). Furthermore, there was no significant relationship between major and general EI (p>0.05). In other words, the general EI of students majoring in accounting, computer and architecture was not significantly different. 108

Table VI Mean and SD of EI This table showed that gender, major, and two scales of EI (i.e., adaptability and interpersonal) had significant coefficients in regression equation. These four variables cause46% of reading comprehension variance. Predictive equation is as follows: Reading comprehension = 0.66 (major) + 1.45 (gender) + 5.38 (adaptability) + 1.45 (interpersonal) Regression analysis demonstrated that the variables of gender, major, adaptability and interpersonal intelligence might predict the reading comprehension ability of EFL learners. Table VII Two-way ANOVA for the Interaction of Gender and Major on EI Research Question 3: Is there a significant relationship between gender, major,five EL scales on one hand and reading comprehension ability on the other hand? Multi-variate regression analysis was used to answer the above question. The result showed that there was a significant relationship between gender, major, five EL scales (intrapersonal, interpersonal, stress management, adaptability, and general mood) on one hand and reading comprehension ability on the other hand. Table VIII shows the result. Table VIII Multi-Variate Regression Analysis Because in multi-variate regression analysis F (262, 7) = 31.89, P< 0.001, therefore, the relationship between linear combination of above variables and reading comprehension ability was significant. Table IX shows the regression analysis result. Table IX Regression Analysis for the Relationship between Gender, Major, and Five EL Scales on One Hand and Reading Comprehension Ability on the Other Hand DISCUSSION This study was an attempt to find the relationship between EI, gender, major, and reading comprehension ability of Iranian EFL learners which yielded the following results. A. Reading Comprehension Ability, Major, and Gender The relationship between gender and reading comprehension ability was found to be statistically significant. Besides, the reading comprehension ability of female students was found to be higher than males. However, no significant relationship was found between gender and major on one hand and reading comprehensions ability on the other hand. The relationship between major and reading comprehension ability was also statistically significant. In fact, the reading comprehension ability of the participants was statistically significant in different majors. B. EI Scales and Gender This study showed no significant relationship between EI scales (interpersonal, stress management, adaptability, and general mood) except for the intrapersonal intelligence. The intrapersonal intelligence of females in general, regardless of major, was found to be significantly higher than males. C. EI, Gender, Major, and Reading Comprehension Ability The result showed that there was a significant relationship between gender, major, five EL scales (intrapersonal, interpersonal, stress management, adaptability, and general mood) on one hand and reading comprehension ability on the other hand. This was in line with [14]who also found that EI and reading comprehension achievement are positively correlated. Utami also found that there is a positive correlation between students emotional intelligence and reading comprehension[15]. A number of other studies have also documented empirical evidence in support of the positive relationships between EI and academic success [16], [17], [18]. Also, there is some evidence indicating that EI and second language performance are positively related [19], [20], [21]. In this regard, then, this study complemented and 109

contributed to the existing body of evidence confirming the impact of EI on reading comprehension achievement. PEDAGOGICAL IMPLICATIONS The findings of the present study suggest several implications for English language teaching profession. The study s findings suggest that the educators should be aware of the impact intelligence has on foreign language learning. Student intelligence needs to be developed in order to facilitate reading comprehension. Teachers can improve students intelligence because intelligence can be improved by training on working memory and using some executive functions (p. 267)[22]. Furthermore, curriculum developers, intervention specialists, and educators need to be cognizant of the impact one s intelligence has on reading comprehension and foreign language learning. It is hoped this research will provide useful insights into foreign language learning by showing that foreign language learning is an extremely complex phenomenon that can be affected by many factors such as the intelligence studied in this research. To know students better by understanding their intelligence quotient will be helpful in providing appropriate assistance to students learning a foreign language [23]. Findings of this study would be useful in educational setting as reading comprehension proficiency strongly associates with the EI of EFL learners. Thus, there is need to apply the principles of intelligence in the field of education, and especially in foreign language learning. No doubt, a foreign language instructor cannot be expected to act in the capacity of a psychologist, yet language teaching is a matter of dealing with individual differences. Paying attention to intelligence differences is increasingly necessary in designing teaching materials. To improve emotional intelligence skills, Empirical findings from the field of cognitive behavior therapy suggest that training in the skills for self-monitoring, self-regulation, communication, and problem solving might usefully be included in programs to enhance emotional intelligence (p. 173)[24]. Because three of the EI subscales have a significant correlation with reading comprehension, it is recommended that more attention be paid to this type of intelligence. REFERENCES [1] D. L.Van Rooy and C. Viswesvaran, Emotional intelligence: A meta-analytic investigation of predictive validity and nomological net, Journal of Vocational Behavior, vol. 65, pp. 71-95, 2004. [2] C. Chernis, Emotional intelligence: What it is and why it matters, Issues in emotional intelligence, [Electronic version] volume not included, pp. 1-14, 2000. [3] C. Cherniss, M. Extein, D. Goleman and R. P. Weissberg Emotional intelligence: What does the research really indicate?, Educational Psychologist, vol. 41, pp. 239-245, 2006. [4] J. Ciarrochi, A. Chan and P. Caputi, A critical evaluation of the emotional intelligence construct, Personality and Individual Differences, vol. 28, pp. 539-561, 2000. [5] D. Goleman, Emotional intelligence: Why it can matter more than IQ, New York: Bantam, 1995. [6] R. Bar-On, Bar-On Emotional Quotient inventory (EQ-i): Technical manual, Toronto, Canada: Multi-Health Systems, 1997. [7] D. Goleman, Working with emotional intelligence, London: Bloomsbury, 1998. [8] J. P. Mayer and G. Geher, Emotional intelligence and the identification of emotion, Intelligence, vol. 22, pp. 89-113, 1996. [9] J.D. Mayer, D. Caruso, and P. Salovey, Emotional intelligence meets traditional standards for an intelligence, Intelligence, vol. 27, pp. 267-298, 1999. [10] B. Mandell and S. 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