From the algorithmic and emergent mindset to the heuristic mindset of reviewing literature

Adasa Nkrumah Kofi Frimpong (), Ping Li (), Millicent Amoah and Md Altab Hossin
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Adasa Nkrumah Kofi Frimpong: University of Electronic Science and Technology of China
Ping Li: University of Electronic Science and Technology of China
Millicent Amoah: University of Electronic Science and Technology of China
Md Altab Hossin: University of Electronic Science and Technology of China

Quality & Quantity: International Journal of Methodology, 2021, vol. 55, issue 4, No 13, 1419-1455

Abstract: Abstract Studies on literature review (LR) methodology appear scant. Researchers have outlined common challenges associated with the LR process. Traditionally, conducting a LR entails paraphrasing existing studies. Researchers have failed to address the emergent nature of literature and how to deal with this challenge effectively. We analyzed the challenges of conducting a LR of published articles. Also, we collected data from postgraduate students in China. Using the five-level Qualitative Data Analysis and the learning heuristics of the translation process, we matched the units of analytical tasks of the LR at the strategy level to their selected and constructed components at the tactics level. A post-test analysis shows that this model explains 72% of the variance in the new strategy .

Keywords: Educational research; Discourse analysis; Literature review; Qualitative data analysis; Challenges of literature review; Postgraduate students (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11135-020-01065-8

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