درخت حوزه‌های تخصصی

This article examines the impact of gender, age, and education on the attitudes of Kurdish speakers in Mahabad towards standard Persian and the Kurdish language. Since people’s emotions towards their own or others’ languages are related to their language attitudes, this important component plays a significant role in measuring success in language planning, learning speed, language selection and use, and predicting the extinction or sustainability of a language. The study’s statistical population consisted of 80 Kurdish-Persian bilinguals in Mahabad who were randomly selected. This study is situated within the theoretical framework of sociocognitive linguistics, and the research perspective was measured through an indirect method (matched-guise test). After distributing the questionnaire and conducting the matched-guise test, the collected data were analyzed. The results of the statistical analysis showed that the variables of gender, age, and education in Mahabad had no significant impact on the attitudes of bilingual Kurdish speakers towards standard Persian and the Kurdish language. The Kurdish speakers of Mahabad exhibited numerically positive attitude towards the standard Persian language compared to Kurdish language, but no significant difference in terms of any of the mentioned variables was observed between the two languages under study.

Attention has been drawn to recent, expanding studies on Second Language (L2) online programs and problems with people with learning difficulties, including Attention Deficit Hyperactivity Disorder (ADHD). This group of learners suffers from feelings of detachment and low self-confidence due to their lack of Willingness to Communicate (WTC) in an online classroom. Thus, the current quasi-experimental study explored the impact of a supplementary intervention targeted at helping learners create, substantiate, and live up to their ideal L2 self-images on multivariate components of ADHD learners' WTC in online English classes. For this purpose, 29 Iranian ADHD learners selected through convenience sampling were divided into two equivalent groups based on their ADHD levels. The groups were then randomly assigned to an experimental (N = 15) and a control condition (N = 14). In the experimental group, the vision ignition intervention was integrated into a 10-week online English course, whereas the control group's learners received no vision-enhancement intervention throughout the course. The learners' WTC was measured through a standard psychometric survey at the outset and conclusion of the course. Multivariable Analysis of Covariance (MANCOVA) was conducted to determine whether a linear combination of the subcomponents resulted in significant differences between groups. Along with an overall significant between-group difference in WTC, the results revealed the intervention's significant impact on WTC's two subcomponents: communicative self-confidence and integrative orientation.

This study set out to examine how stereotypes as social psychological phenomena are enacted in everyday discourse. Besides discussing how ingroups and outgroups are formed in mundane talk, it is argued that stereotypes are ideological constructs that are jointly achieved in social contexts. Moreover, it is assumed that the ways in which stereotypes are constructed and discussed in discourse are informed by a number of underlying moral conceptualizations which might justify the potential face-threatening acts and the impoliteness inherent in prejudiced talk targeted to a third party. The study is an ethnographic case study informed by an eclectic approach to the analysis of data so as to shed light on how the expression of thoughts and feelings are constructed as talk in ordinary social interactions unfolds and what these expressions achieve. The analyses revealed that the construction of outgroup stereotypes is a mutual accomplishment and possibly a face-threatening act moderated by mitigating discourse features

This study applied multi-faceted Rasch measurement to investigate the halo effect in the performance-based assessment of writing across rubric criteria. Five raters who had received specialized training applied a four-criteria rating rubric to analytically rate writing scripts on two argumentative topics. Facets, a Rasch computer program, was utilized to pinpoint the halo effect by analyzing rater and rubric criteria interactions. After examining the appropriateness of the rubric in terms of functionality, the results showed that except for one rater, the raters did not exhibit any sign of the halo effect across rubric criteria. Generally, the severity hierarchies for raters and difficulty levels for rubric criteria suggested that raters’ training and their perceptions of the importance of criteria were associated with their manifestation of the halo effect. Pedagogically, through a detailed facet analysis of interactions between raters and rubric criteria, rater trainers may better realize how to design effective training programs to minimize raters’ variance including the halo effect and improve the overall objectivity of human rating.

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.

Measurement invariance (MI) refers to the degree to which a measurement instrument or scale produces consistent results across different groups or populations. It basically shows whether the same construct is measured in the same way across different groups, such as different cultures, genders, or age groups. If MI is established, it means that scores on the test can be compared meaningfully across different groups. To establish MI mostly confirmatory factor analysis methods are used. In this study, we aim to examine MI using the Rasch model. The responses of 211 EFL learners to the listening section of the IETLS were examined for MI across gender and randomly selected subsamples. The item difficulty measures were compared graphically using the Rasch model. Findings showed that except for a few items, the IELTS listening items exhibit MI. Therefore, score comparisons across gender and other unknown subgroups are valid with the IELTS listening scores.