مطالب

This paper investigates the most influential factor of anxiety in the English for Specific Purposes (ESP) context through classroom observation and questionnaires in a private vocational higher education in Indonesia. It also explores the differences in the anxiety level based on the year of study. One hundred seventy-one students participated in the study. The Foreign Language Anxiety Classroom Scale (FLACS) questionnaire was adapted to find out the students’ anxiety levels. The questionnaire was administered using Google form, then collected and statistically analyzed using SPSS. It was revealed that the most influential factor of students’ anxiety was the domain of Communication Apprehension. Furthermore, the ANOVA test showed that all students in each year suffered from anxiety. The most notable cause of the Communication Apprehension domain was performing without preparation. Self-negative evaluation was the primary cause of the Fear of Negative Evaluation domain. Meanwhile, for the domain of Test Anxiety, failure in language tests was the principal reason. This study implies that teachers should frame pleasant communication in the classroom as well as create fun and collaborative activities to reduce students’ anxiety.

Background: Glass roof is one of the most important obstacles for women to reach the top management level of the organization and one of the important factors reducing organizational justice. In this regard, the aim of the present study is to design and develop a model for creating a glass roof for women in higher education. Method: The research method was mixed in terms of the nature of the data. The first part was meta-combined. The statistical population in this section was 196 articles from prestigious domestic journals from 2013 to 2020, of which 70 articles were selected by available methods. The second part was the quality of the statistical community of organizational experts in the field of higher education, 10 of whom were purposefully selected. Data were analyzed by Delphi technique. The third part was a little survey. The statistical population of the study was female faculty members in the top ten universities of the country (453 people) and the number of statistical samples was calculated based on Cochran's formula of 112 people and selected by available sampling. Finally, for data analysis, confirmatory factor analysis and correlation calculation and fuzzy expert system were used. Results: Since the target population confirmed the dimensions, components and extractive indicators of the research model, the results showed that if managers pay attention to the category of job conditions 34.25%, to the category of extra-organizational 21.07%, if the individual condition is 20.10%, then the model of creating a glass roof with 75.42% will be the desired combination. Conclusion: The most basic indicator and criterion affecting the glass ceiling of women is the working conditions, which along with individual and extra-organizational conditions provide the basis for reducing or increasing organizational justice. Article number: 74

Objective: Violence against spouse is an important and serious social damage that exists between couples and nowadays it is still observed despite cultural advances and changes in thinking style. Therefore, the present study was conducted with the aim of predicting violence against spouse based on childhood maltreatment experiences of divorce seekers in Isfahan. Methods: The method of this study was descriptive-correlational. In addition, the statistical population of the study included all divorce seekers who were referred to the counseling centers under the contract with Isfahan court of law. These people had already registered in an online divorce platform named Tasmim from May to July in 2021. 211 people were selected by available sampling method for the study and answered the questionnaires. The instruments used in this study were Strauss et al.'s Conflict Tactics Questionnaire (CTS2) and Childhood Trauma Questionnaire (CTQ). Data analysis was performed by SPSS 22 software, Pearson correlation test and multiple regression analysis. Results: Pearson correlation findings indicated that all types of maltreatment including physical neglect, emotional neglect, physical abuse, emotional abuse and sexual abuse had a positive and significant relationship with violence against spouse. Furthermore, the results of regression analysis showed that among different types of maltreatment, emotional neglect and emotional abuse predict violence against spouse in divorce seekers in Isfahan. Conclusion: Therefore, it can be concluded that child maltreatment can lead to violence against spouse in the future.