IMRAD, synthesis, and hedging within expert academic writing to encourage a world discussion platform

This paper examines IMRAD, synthesis, and hedging within expert academic writing to encourage a world discussion platform and to enhance manuscript writing for internationally reputable journals. The research utilized 25 Quartile-1 Scopus-indexed articles from 25 scholarly journals from 2022 and 2023 publications across different subject areas. Through online searching, observation, and interpretive techniques, the patterns of IMRAD, its synthesis, and the use of hedging within the synthesis were analyzed and identified as crucial elements for creating a manuscript that serves as a world discussion platform. Based on the systematic observation and interpretation of the 25 data sources, the research findings were discussed across three aspects: the IMRAD pattern, synthesis, and hedging. The findings revealed that symmetrical IMRAD patterns were rarely employed by authors of Quartile-1 Scopus-indexed journals, with various patterns being applied and the largest proportion focusing on different aspects. Synthesis was utilized by all authors of the 25 journal articles, and hedging or cautious language was used by most authors. Authors worldwide may benefit from the results of this research when writing manuscripts to be submitted to internationally reputable journals. Additionally, academic writing teachers can use the proposed interpretive model and research results to teach expert academic writing to their students, thus enhancing the quality of student academic writing and enabling the publication of their papers in internationally reputable journals.

Authors

Publication Details

Journal
Studies in English Language and Education
Published
2024-09-30
DOI
https://doi.org/10.24815/siele.v11i3.34776
Citations
1
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
0.78
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article

IMRAD, synthesis, and hedging within expert academic writing to encourage a world discussion platform

Asnul Dahar Minghat, Aris Puji Purwatiningsih, Raden Arief Nugroho, Ismarita Ramayanti et al.
1 citations
Studies in English Language and Education
Expert finding and Q&A systems
0.78
article

IMRAD, synthesis, and hedging within expert academic writing to encourage a world discussion platform

Asnul Dahar Minghat, Aris Puji Purwatiningsih, Raden Arief Nugroho, Ismarita Ramayanti, Jumanto Jumanto, Pulung Nurtantio Andono, Dwi Eko Waluyo
article en
1 citations

Abstract

This paper examines IMRAD, synthesis, and hedging within expert academic writing to encourage a world discussion platform and to enhance manuscript writing for internationally reputable journals. The research utilized 25 Quartile-1 Scopus-indexed articles from 25 scholarly journals from 2022 and 2023 publications across different subject areas. Through online searching, observation, and interpretive techniques, the patterns of IMRAD, its synthesis, and the use of hedging within the synthesis were analyzed and identified as crucial elements for creating a manuscript that serves as a world discussion platform. Based on the systematic observation and interpretation of the 25 data sources, the research findings were discussed across three aspects: the IMRAD pattern, synthesis, and hedging. The findings revealed that symmetrical IMRAD patterns were rarely employed by authors of Quartile-1 Scopus-indexed journals, with various patterns being applied and the largest proportion focusing on different aspects. Synthesis was utilized by all authors of the 25 journal articles, and hedging or cautious language was used by most authors. Authors worldwide may benefit from the results of this research when writing manuscripts to be submitted to internationally reputable journals. Additionally, academic writing teachers can use the proposed interpretive model and research results to teach expert academic writing to their students, thus enhancing the quality of student academic writing and enabling the publication of their papers in internationally reputable journals.

Studies in English Language and EducationVol. 11(3)
Openalex Percentile: Top 20%
Expert finding and Q&A systems
0.78
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