جستجوی مقالات مرتبط با کلیدواژه « structural equation modeling » در نشریات گروه « ادبیات و زبان ها »

Educational psychologists and applied linguists have studied English language learners' self-efficacy, language anxiety, and language production separately. However, the structural relation of the English language learners' self-efficacy, foreign language anxiety, and oral/written language production has not been validated. A structural equation modeling consisting of learners’ self-efficacy as the independent variable, language anxiety as the mediator variable, and production tasks (oral and written) as dependent variables, was evaluated using Smart-PLS. The data were gathered through self-efficacy questionnaire, foreign language anxiety scale, oral production test, and written production tasks from 264 Iranian EFL learners who were selected through convenience sampling. Smart PLS software was used for analyzing the data. The hypothesized model was evaluated, and it was found that the model enjoyed an acceptable level of divergent and convergent validity and goodness of fit. The results also showed that language learners' self-efficacy reduces their foreign language anxiety. Moreover, learners' self-efficacy through reducing the learners' anxiety improves the language learners' performance on oral and written production tasks. The findings can be used by English language teachers and students to collaborate and apply coping strategies to reduce language anxiety. Furthermore, through reducing anxiety, the learners can develop foreign language skills, particularly oral and written productions.

The significance of emotions and the cultivation of empathy in development within the realm of education has garnered increasing attention from educators in recent years. Likewise, the emotional intelligence (EI) of educators has emerged as a central factor influencing their effectiveness in educational contexts. Individuals possessing elevated levels of EI demonstrate a heightened awareness of their own emotions as well as those of others, enabling them to regulate their emotions in a manner that elicits desirable behavior from others. This study aimed to present a comprehensive model elucidating the interrelationships among teachers' effectiveness, empathy, and emotional intelligence, employing structural equation modeling (SEM) as the analytical approach. Accordingly, a sample of 201 English teachers at the institutional level from different cities in Iran participated in a quantitative correlational study. The results of Pearson correlation analysis revealed a statistically significant yet weak positive association between Emotional Intelligence and empathy. Moreover, empathy exhibited a positive and significant correlation with teachers' effectiveness. The findings further indicated a moderate positive correlation between Emotional Intelligence and effectiveness. Additionally, a positive path was observed connecting Emotional Intelligence and Empathy. Furthermore, both empathy and EI were found to be predictive of teachers' effectiveness. Hence, it can be concluded that the proposed model had an acceptable fit with the empirical data.

This study sought to determine the impact of self-regulation and emotional labor on reflective action among Iranian EFL teachers in online EFL classes using structural equation modeling. To achieve this, a combination of cluster sampling and stratified random sampling of 500 people was recruited. The participants were administered with the English version of Dutch questionnaire of emotional labor, Teacher Self-Regulation Scale and Teaching Reflection Inventory. After collecting data using three distinct questionnaires pertaining to latent variables, SEM analysis was conducted using IMB SPSS version 28.0 and Amos version 24.0 to analyze the path model relationships. To this end, a hypnotical model was proposed, evaluated, and specified to fit the data. The confirmatory factor analysis was employed to assess the hypothetical model by employing goodness of fit indices and analyzing all the convergences between the latent variables and the related sub-scales. According to the criteria for a good model's fitness, all of the model's values are above 0.90, indicating that the model has good fitness. And it was concluded that there was statistically significant relationships between the variables of the study.

Adaptive teaching addresses students’ diversity and their immediate learning needs. Particularly, in the high-interactive context of English teaching, fostering adaptive teaching in teacher professional development programs not only stimulates teacher change at the micro level, but also facilitates implementing the organizational and curricular innovations imposed by authorities at the macro level. The current English teaching literature lacks a measure for evaluating and fostering adaptive teaching within higher education. Hence, within the present study, the Interconnected Model of Teacher Professional Growth (IMTPG) was adapted and validated as a measure for evaluating and fostering teacher adaptability for 183 international English teachers in higher education. Structural Equation Modelling (SEM) was employed for validating two different enactment and reflection links in the original IMTPG, and the final adapted IMTPG for adaptive teaching (At-IMTPG) was proposed. The AT-IMTPG can be applied for evaluating how adaptive English teachers are, seeking to resolve the problem of implementing educational innovations by English teachers in higher education. It can also be used to design teacher professional growth programs for fostering adaptive teaching within English teaching higher education. Such a change in the classroom level is hoped to be translated into an educational change in English teaching higher education.

As conceptual models of language learning, use, and processing mature, it is both natural and necessary for the statistical models we apply to follow suit. One statistical approach with great potential in the field of Applied Linguistics and L2 studies is structural equation modeling (SEM). SEM is introduced in this review paper as a powerful and highly flexible family of analyses. In doing so, the paper outlines (a) the types of variables and possible modeled relationships that SEM is equipped to address and (b) statistical considerations for applying SEM in L2 research, and (c) a number of additional and key considerations for those interested in delving deeper into SEM (e.g., goodness of fit indices, model modification procedures, etc.). This paper also describes the potential of SEM to contribute to construct validation (e.g., convergent and discriminant validity). Throughout the paper, a plethora of examples pertaining to applications of SEM in L2 research are provided.

The current study used Structural Equation Modeling (SEM) as a statistical technique to test a hypothesized mediating model to uncover the underlying relationship between the L2 motivational self-system, L2 anxiety, and L2 willingness to communicate (L2 WTC). This study is significant because it considers the unique experiences of English as a foreign language (EFL) learner in the era of globalization by incorporating the L2 motivational self-system. The mediating effect of L2 anxiety was also accounted for, providing a deeper understanding of how emotional factors influence L2 WTC. The data were collected through a questionnaire administered to 260 students at six public universities in China. The results showed that (a) two subcomponents of the L2 motivational self-system (ideal L2 self and L2 learning experience) were positive predictors to L2 WTC; (b) the higher the degree to which learners were motivated by their ought-to L2 self, the higher the anxiety of English learning; and (c) L2 anxiety had a suppressing effect between the L2 motivational self-system and L2 WTC. Specifically, L2 anxiety weakens the direct positive effect of the L2 motivational self-system on L2 WTC, leading to a decrease in L2 WTC. Pedagogical implications and future research directions were also addressed.

Teachers’ classroom management plays a potent role in Teaching English as a Foreign Language, especially in relation to other psychological variables, namely self-efficacy and personality types. Consequently, the present study aimed at generating a structural equation model of evidence to better illustrate the relationship among classroom management, self-efficacy, and personality types as well as the pertinent sub-scales. A sample of 249 Iranian EFL teachers completed three questionnaires including the Behavior and Instructional Management Scale, Myers-Briggs Type Indicator Personality Type, and Teacher Efficacy Scale. The structural Equation Modeling (SEM) and the schematic illustration confirmed the hypothesized model (x2df = 1.28; RMSEA=.03; RMR =.03; GFI =.98; AGFI=.95; NFI =.98; CFI =.99; IFI =.99; TLI=.98), revealing significant internal interplay among the classroom management approaches, self-efficacy, personality types, and their sub-scales. The results of multiple regression further confirmed the direction of the path model illuminating the predictability power of the teachers’ personality types and their self-efficacy concerning the EFL teachers’ classroom management approaches. In other words, EFL teachers’ personality types and self-efficacy can predict their classroom management approaches. The study offered pedagogical implications for teachers, policymakers, and stockholders.

The study scrutinized the probable significant relationship between Emotional Intelligence (EI) and Translation Competence (TC) in the Iranian students of Translation Studies. The first stage of the study followed a conventional statistical approach, in which the significant relationship between the variables as well as the predicting role of emotional intelligence for translation competence of the participants was examined through Pearson correlation and linear regression analyses. Two questionnaires of emotional competence, derived from Bar-On (1997), and translation competence, derived from Alavi and Ghaemi (2013), were utilized in the study. The findings of the initial phase revealed the significant relationship between the participants’ emotional intelligence and translation competence. In the second stage, modeling approach was employed to probe the relation between emotional intelligence and translation competence through structural equation modeling, using LISREL. The results demonstrated a significant relationship between EI and TC, justifying the results of the first non-modeling stage. The findings are of significance as the association between translation competence and emotional intelligence has been scarcely explored. Moreover, the relation between two variables was deeply explored through using non-modeling as well as modeling approach, adding the novelty of research. The results reflected that emotional intelligence plays a significant role in predicting the language learners’ translation competence. The results have some implications for language teaching. Language teachers can promote language learners’ emotional intelligence to reach successful learning outcomes. Through using useful techniques such as discussion, group-work activities, answering questionnaires, the learners' emotional intelligence can be significantly improved, leading to effective translation achievement.

Structural equation modeling (SEM), as a flexible and versatile multivariate statistical technique, has been growingly used since its introduction in the 1970s. This article presents a methodological synthesis of the characteristics of the use of SEM in L2 research by examining the reporting practices in light of the current SEM literature to eventually provide some empirically grounded recommendations for future research. A total of 722 instances of SEM found in 145 empirical reports published in 16 leading L2 journals across two periods of 1981-2008 and 2009-2020 were systematically reviewed. Each study was coded for a wide range of analytic and reporting practices. The results indicate that despite the growing popularity of SEM in L2 research, there was a wide variation and inconsistency in its uses and reports within and across the two periods in regard to the underlying assumptions, variables and models, model specification and estimation, and fit statistics. Drawing on the current SEM literature, we will discuss the findings and research implications for future use and reporting of SEM in L2 research.

This study attempted to investigate the Determination Theory in the Iranian EFL context by shedding light on the relationship between EFL learners’ basic psychological needs of autonomy, competence, and relatedness, and (intrinsic) motivation. To conduct the study, 324 Iranian EFL university students participated in the study. A standard questionnaire (on the students’ innate needs fulfillment and their second language motivation) developed by Agawa and Takeuchi (2016) was administered to the participants. Structural Equation Modeling (SEM) was employed to assess the proportion between hypothetical expectance and factual data. The model indicated that there was a substantial positive relationship between competence needs and Iranian EFL learners’ motivation. On the other hand, relatedness needs indicated a weaker influence on students’ motivation, and the autonomy needs fulfillment revealed to hold either negative or demotivating effects on Iranian L2 learners’ motivation.

Given its key role in enhancing learners’ communicative competence, willingness to communicate (WTC) has received much research attention in the field of second language (L2) teaching and learning. Numerous studies have explored the antecedents of WTC in English as a Foreign Language (EFL) context. As an attempt to shed more light on this line of research, this study was set to investigate the effects of grit and foreign language anxiety as predictors of L2 WTC among Iranian EFL learners. For this purpose, a number of 163 undergraduate English major students from several universities participated in this survey. The required data were collected by distributing valid and reliable instruments measuring the three target variables (i.e., WTC, grit, and anxiety). A structural equation modeling (SEM) approach was utilized to test the hypothesized structural models for the relations between these variables. The SEM results indicated that grit accounted for 10.6 % of the variance and FL anxiety explained 20% of the variance in the participants’ L2 WTC. Furthermore, the unique impact of foreign language anxiety on WTC was greater than that of grit. The implications of these findings for language teaching and learning are discussed at the end of the paper.

As a result of the role of teachers’ psychological factors in affecting their performance, there has been an ever-increasing interest in the significance of teachers' constructs in influencing their effectiveness and work engagement. As an attempt to shed more light on the relationships between teacher psychological factors in English as a Foreign Language (EFL) context, the objective of this research was to probe the role of teachers’ self-efficacy and their collective efficacy as the predictors of work engagement for Iranian EFL instructors. To this end, a sample of 168 English teachers completed the self-report scales of the constructs under investigation. Structural Equation Modeling was adopted to evaluate the causal relationships among the variables. The findings revealed that teachers’ sense of efficacy explained 23.7% of the work engagement variance whereas teacher collective efficacy accounted for 10.5% of the variance in work engagement. It was revealed that, although each variable had a unique contribution to work engagement, teachers’ individual self-efficacy was a more powerful predictor of work engagement than their collective efficacy. Based on the findings, important implications can be provided for EFL teacher education programs.

This research intended to study the Potential relationship between Iranian EFL teachers’ job satisfaction, job burnout, and reflective thinking. One-hundred and eighty-two teachers from different universities, and schools were requested to answer the the Minnesota satisfaction questionnaire, Maslach Burnout Inventory, and reflective thinking scale as the main data collection instruments. Structural Equation Modeling was used to test the hypothesized model of relations. The results represented, there were significant internal correlations between all the latent variables and their sub-scales. Multiple regression analysis showed that job satisfaction positively predicted reflective thinking, with job satisfaction exerting more predictive power in comparison with job burnout. Furthermore, job burnout weakly predicted reflective thinking, with job burnout exerting less predictive power in comparison with job satisfaction. Moreover, there was a negative correlation between job satisfaction and job burnout in which not only these two latent variables but also all their sub-scales were negatively related to each other. Pedagogical implications of the results have been discussed.

In order to engage students in higher-level thinking, cognitive activation (CA) strategies have been advanced and utilized in mathematics. CA develops when learners are challenged, confronted with conflicts, asked to think and explain clearly on their learning, and realize connections between new and previous content. Extending the theme to English language teaching (ELT), this study investigated Iranian English language teachers’ knowledge and practice of cognitive activation writing strategies (CAWS). In so doing, a model was proposed based on a questionnaire that was developed and validated in the present study. Through this scale, knowledge and practice of CAWS by 213 English as a foreign language (EFL) teachers were explored. During a pilot phase, the reliability of the questionnaire was calculated to be .78 for the knowledge section and .81 for the practice section. Two items in each section were removed after conducting exploratory factor analysis. Ultimately, the confirmatory factor analysis indicated that the proposed model was fit for the data. Five components were confirmed as constituents of CAWS for the knowledge section, and four components were identified for the practice section. The findings revealed that Iranian EFL teachers were already familiar with the CAWS and purportedly practiced them in their writing classes. Using the scale in the process of writing instruction can provide ELT practitioners with a helpful platform for relating to CA strategies and empowers learners to accomplish tasks such as problem-solving in their writing assignments, similar to what is practiced in mathematics.

The demand for learning English as a foreign language has significantly heightened the need to recruit efficient teachers. Related literature confirms the lack of studies on teacher characteristics that can affect their job satisfaction. This study aimed to study the relationship between Iranian EFL teachers’ professional development, job satisfaction, and reflective thinking. One-hundred and fifty-nine teachers from different universities, language institutes, and schools wer e requested to answer the professional development questionnaire, the Minnesota satisfaction questionnaire, and reflective thinking scale as the main data collection instruments. These questionnaires were given in three different ways: in person, email, and social networks. Structural Equation Modeling was used to examine the hypothesized model of associations. This model was confirmed following the application of the modification indices proposed by the software (Normal chi-square = 3.4; RMSEA =.03; RMR =.02; GFI =.94; AGFI =.91; NFI =.94; CFI =.94; IFI =.94). The findings showed that there were significant internal correlations between all the latent variables and their sub-scales. Furthermore, findings of multiple regression analysis revealed that professional development and reflective thinking positively predicted job satisfaction, with professional development exerting more predictive power compared to reflective thinking. Pedagogical implications of the results have been discussed.

Due to the crucial role of student academic engagement in learning a second language, teacher interpersonal variables which affect second language learners’ engagement have gained momentum. To keep up with this line of inquiry, this study attempted to probe the role of Persian language teachers’ nonverbal immediacy and credibility in their Turkman students’ academic engagement. To do this, 503 Turkman students with different educational grades (i.e., 7, 8, 9, 10, 11, 12) voluntarily took part in this study from different regions of Golestan province. The sample included 282 females and 221 males ranging in age from 12 to 18. To obtain the data, Nonverbal Immediacy Scale (NIS), Source Credibility Scale (SCS), and Utrecht Work Engagement Scale for Students (UWES-S) were distributed among participants. Pearson correlation coefficient tests were run to analyze the gathered data. The results exhibited that there were significant positive correlations among Persian language teachers’ nonverbal immediacy, credibility, and Turkman students’ academic engagement. The findings were also approved by structural equation modeling (SEM) results:Turkman students’ academic engagement was predicted significantly and positively by their Persian language teachers’ nonverbal immediacy and credibility. The outcomes of the present study posit that Turkman students’ academic engagement can be remarkably enhanced by their Persian language teachers’ credibility and nonverbal immediacy. Finally, the pedagogical implications for teaching Persian to speakers of other languages are also discussed.

The Persian translation of the emotion regulation strategies inventory (Gross & John, 2003) was validated among Iranian EFL teachers. The predictive power of variables, i.e. educational background, working experience, gender, and age was also appraised. To do so, 250 EFL teachers with at least five-year teaching experience at the universities of two states, Isfahan and Fars, were invited to take part in the study. The non-random convenient sampling technique was then adopted. Filling out the inventory was done after the class time. The results of the principal component analysis (varimax rotation) verified the original two-factor model. The multiple regression analysis done by AMOS software also revealed that demographic variables could significantly affect teachers’ emotion regulation, though their effect in the present sample was small (R2=0.08 and R2=0.02). The results also suggested that the teachers disagreed about the use of expressive suppression in their classes (m=3.28) and were rather undecided as to the use of cognitive reappraisal in their teaching (m=4.49).

Due to the significance of teachers’ beliefs and individual variables, a bulk of studies has focused on teacher characteristics over the past two decades. As an attempt to further clarify the interplay between teacher-related constructs in English as a Foreign Language (EFL) context, the present study set out to explore the structural model hypothesizing the predictive role of teachers’ self-efficacy and collective teacher efficacy in affecting the psychological well-being of teachers in Iranian EFL context. In so doing, a sample of 179 English teachers was given the three self-report scales measuring the variables under investigation. As for the statistical analysis, Structural Equation Modeling (SEM) was employed to test the fit of the hypothesized model. The results indicated that teacher self-efficacy accounted for 19.8% of the variance while collective teacher efficacy amounted to 11.3% of the variance in psychological well-being. In addition, it was revealed that although both predictors had a unique effect on psychological well-being, teacher self-efficacy was a stronger predictor of psychological well-being than collective teacher efficacy. The results and implications are finally elaborated.

Practical improvements in students’ overall success can be made if we take into account the contribution of learning environments to learners’ various attributes that would greatly affect their academic selves. This study aimed at scrutinizing the possible associations among Iranian EFL students’ perceived classroom climate, academic self-concept, learning self-regulation, and academic identity status. 420 university students were asked to fill out College and University Classroom Environment Inventory (CUCEI), Academic Self-Concept (ASC) Scale, Learning Self-Regulation Questionnaire (SRQ-L), and Academic Identity Status (AIS) Questionnaire. Using Structural Equation Modeling (SEM) and based on its several goodness-of-fit criteria, the proposed model of the possible interactions of the main variables was confirmed. Furthermore, classroom climate was correlated positively with subscales of learning self-regulation and academic self-concept and negatively with academic identity status. Besides significant correlations among study variables, the final model also revealed some intra-scales associations. Multiple regression analysis also indicated some significant predictions. The findings could provide classroom instructors and university syllabus designers with implications so that they can plan the EFL environments and class activities taking into consideration students’ various academic characteristics. This involves their status of self-concept, identity, and regulation to help them achieve highly recognized long-term academic objectives.