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Title "Exploring Communicative Competence: A Multimodal Analysis of Mock Interviews of CSS Candidates in Pakistan"

Author(s) Humna Nazim

Abstract This study aimed at identifying the most frequent types of competence manifested by CSS candidates during their mock interviews. Also, it studied the intersemiotic relationship between gestures and language during the interview. This research adopted mainly qualitative research method, however, linguistic choices and types of gesture were quantified in the form of percentages to substantiate the interpretation of the findings. The data included 10 mock interviews using purposive sampling technique. The study employed SF-MDA as a methodological framework of analysis and Celce-Murcia’s model (2007) as a theoretical framework. The four types of competence out of six such as, linguistic, discourse, interactional and strategic competence, were used from the model as checklists functioning as a research tool. Moreover, the concepts of SF-MDA extended by Lim (2011) for gesture analysis were used to analyze gestures. The findings of the study suggested that interviewee 1 and 7 manifested a well balanced approach in all types of competence, however, other interviewees had high percentage in strategic competence indicating that they had less proficiency in L2. Secondly, interviewees 1 and 7 used the highest percentage of indexical actions helping them in maintaining ‘positive face’ during the interview. Thirdly, the intersemiotic relationship between language and gestures gave the emergent meanings of leadership qualities like transcendence, courage, humility, drive and judgment among interviewees 1, 7 and 9. The key findings of the study pointed towards the idea that communicative competence is a multimodal phenomenon and multimodal competence is of inherent importance in an interaction like a job interview. Thus, the study draws attention towards the emerging field of multimodal literacy for analyzing the texts in the present day research.

Type Thesis/Dissertation

Faculty Languages

Department English

Language English

Publication Date 2024-08-06

Subject Linguistics

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