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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 investigated the effects of planned focus-on-form instruction (pFFI) on developing oral grammatical accuracy in Iranian English EFL learners. To this end, 60 lower-intermediate EFL learners studying English in a private English language institute in Tehran, Iran, were randomly assigned to two classes. Both classes received a task-based instruction on grammatical points elicited in oral production of English sentences with the only difference that one class, the experimental group (N=30) had a pFFI instruction (i.e., the target grammatical structures selected in advance), and the other class, the control group (N = 30), had a task-based instruction without any focus on planned grammatical structures. Learners’ oral performance was observed in their answers to pictorial cues in the pretest and posttest. The results of the study revealed that although both groups significantly improved in their oral performance in terms of grammatical accuracy, pFFI instruction was more effective on the experimental group since they significantly outperformed the control group.

The current study aims to investigate how Iranian EFL students make use of compliments in Persian and English. To that end, 50 students majoring in English as a foreign language from Isfahan and Tehran, and Sheikhbahaee universities were asked to respond to a Discourse Completion Test consisting of six situations in both English and Persian. They were asked to put themselves in those situations and respond to the compliments made on them. The results of the study showed that in addition to pre-existing categories of compliment responses, Iranians made use of other strategies not included in the pre-existing categories of compliments. Furthermore, in both English and Persian languages, students made use of compliments in the same order: accept, evade and reject strategies. The results of this study could add to crosscultural findings, differences or similarities regarding compliments as a beneficial way of studying speech acts.

The study investigated the impacts of motivational scaffolding as one of the most effective instructional procedures on self-efficacy and learning achievement of field-dependent and field-independent English language learners. This study attempted to use both qualitative and quantitative data to get more reliable results. As qualitative part, 15 teachers in a semi-structured interview, and as quantitative part, two groups of learners participated as experimental and control groups. Motivated Strategies for Learning Questionnaire was used to determine students' self-efficacy. The Group Embedded Figures Test was administered to categorize them into groups of field-dependent and field-independent. To determine proficiency level, a pre-test and a post-test were used. As treatment, eight sessions of Bandura’s training were administered to improve self-efficacy. Analysis of the qualitative data was conducted using content analysis, and as quantitative analysis, two-way Multivariate Analysis of Variance was conducted. The results showed that learners’ interacting within motivational scaffolding improved their self-efficacy and their learning achievement, and there is no significant difference between learners in the dimensions of field-dependent, field-independent. The findings have implications for teachers and learners in educational settings to detect some factors affecting the English language learners’ language performance and their psychological status.

Mounting attention has recently been paid to authorial stance in academic writing due to its important role in the interpersonal aspect of writing, encompassing the ways in which authors establish connections, convey attitudes, and engage with an audience. This study was an attempt to explore how native and non-native authors of Applied Linguistics deploy linguistic features to project their authorial stance. To this end, a corpus of 100 research articles authored by native and non-native researchers was collected from journals in the field of ELT. Hyland's Interpersonal Model of Metadiscourse (2005) was employed to differentiate the features produced and figure out how authors navigate the complexities of expressing their meaning while considering the ELT community expectations, and SPSS was used to analyze the data. Based on the results, the proportion of interactive resources was found to surpass that of interactional resources in both native and non-native writings, with transitions being the leading feature, followed by evidentials; and regarding the interactional resources, boosters, and hedges were the most dominant features employed by native and non-native authors, respectively. Overall, no tendency was found towards textuality through which authors consider the target audience (engagement markers), signal their confidence through the portrayal of authors' feelings (attitude markers), and take credit for their findings (self-mentions) throughout the whole corpus, particularly non-native writings. It seems that writing courses offered in non-native contexts require improvements to meet the standards of academic writing. Therefore, the study has important implications for both non-native and novice researchers and course designers.

The present study aimed to analyze two secondary English school textbooks from Iran and Egypt to see to what extent these two middle-eastern countries with similar religious, historical, and social backgrounds include culture in their official textbooks.  For this purpose, Vision I , the Iranian secondary school textbook, and Hello I, the Egyptian English school textbook, were chosen. Four aspects of culture (topics, cultural dimensions, international/intercultural issues, and cultural references) were investigated in these two textbooks. The results show that Vision I has a more limited number of cultural content compared to Hello I . However, a lack of in-depth cultural information could be observed in both textbooks. Thus, it is necessary to take special measures concerning Vision I by including a greater array of cultural content and giving this content depth and detail. For Hello I , the cultural content needs to exceed in quality. The present study's findings might be insightful for syllabus designers, textbook publishers, and teachers to reconsider the essential role of culture qualitatively and quantitatively.

As a controversial subject, globalization has affected various aspects of our lives. Today, the intertwined world is run through complicated relationships and the education of competent human capitals has gained more significance than before. Recently, there has been a movement, known as Global Citizenship Education (GCE), toward a pervasive orientation to education in which issues such as Quality Education are the critical goals. The main aim of this study was to explore the extent to which The Iranian National Curriculum, The Doctrine of General Formal Education System and The Fundamental Reform Document of Education promote the GCE goals in formal English language education. Using a multi-concept model based on the GCE goals, the documents were the subject of scrutiny through document analysis. A survey questionnaire and a semi-structured interview were also utilized. Among 198 participants, 12 individuals accepted to be interviewed. The results of the document analysis and the questionnaire approved the documents’ theoretical promotion of the GCE goals. However, they were criticized for being idealistic and incoherent in the interviews and literature review. Also, their appropriate implementation, practical efficiency and convincing educational achievement were disapproved. The study emphasizes global-oriented approaches in the country’s formal education. 

Cognitive diagnostic models (CDMs) have received sustained attention in educational settings because they can be used to operationalize formative assessment to provide diagnostic feedback and inform instruction. A large number of CDMs have been developed over the past few years. An important component of all CDMs is a Q-matrix that specifies a particular hypothesis about the relationship between each test item and its required attributes. The purpose of this study was to construct and validate a Q-matrix for the reading comprehension section of the Islamic Azad University English Proficiency Test (IAUEPT), as an advanced English placement test designed to measure language ability of Ph.D. candidates who tend to pursue their studies in the IAU. To achieve this, using item responses of 1152 candidates to twenty items of the reading section of the test, an initial Q-matrix was constructed based on theories and models of second/foreign language (L2) reading comprehension, previous applications of CDMs on L2 reading comprehension, and brainstorming and consensus of five content experts. Then, the initial Q-matrix was empirically validated using the method proposed by de la Torre and Chiu (2016) and checking mesa plots, and heatmap plot. Five attributes were derived for the reading comprehension section: vocabulary, grammar, making an inference, understanding specific information, and identifying explicit information. Finally, the analysis of the Generalized Deterministic Inputs, Noisy “and” Gate (GDINA) regarding absolute fit at item- and test-level as well as three residual-based statistics showed the accuracy of the Q-matrix and a perfect model-data fit.