Presenting a Systematic Literature Review Method Using a Mixed-Methods Design and its Application to Mind Map Research

This study introduces a novel approach for conducting Systematic Literature Reviews(SLRs) by incorporating a unique mixed-methods design into the well-established SLR process. The proposed approach, identified as Mixed-Methods Based Systematic Literature Review (MMB-SLR), not only provides researchers with a broader perspective on their research content compared to traditional single-method SLR, but also aligns with the iterative, reflective characteristics inherent to action research. With the flexibility provided by numerous mixed-method designs and SLR procedures, researchers can explore a myriad of combinations to implement the MMB-SLR. This study briefly explores two primary combinations using explanatory sequential design and exploratory sequential design, illustrating the MMB-SLR process through a specific research topic: Mind Map studies within higher education. To ensure a robust and thorough review, several SLR standards are recommended, including but not limited to the PICO procedure, Melynk Hierarchy of Evidence, PRISMA 2020 flow diagram, and the revised Cochrane risk-of-bias tool for randomized trials. In conclusion, this study delves into the superior benefits of the MMB-SLR over the conventional single-method SLRs, highlighting its potential applicability and contributions across diverse research fields.

Grantor dc:publisher

University of Alabama Libraries

Year dc:date.issued

2023

Author dc:creator

• Hua, Cheng

Advisor dc:contributor.advisor

• Wind, Stefanie A.

Contributors dc:contributor

• Lawson, Michael
• Ma, Wenchao
• Giesen, Judy
• Sun, Jingping

• Higher Education
• Mind Map
• Mixed-Methods design
• MMB-SLR
• Systematic Literature Review

Statement dc:rights

• All rights reserved by the author unless otherwise indicated.

Language dc:language.iso

en_US, English

Dc Identifier Other

http://purl.lib.ua.edu/188365
u0015_0000001_0004884
Hua_alatus_0004D_15283

OAI identifier oai:identifier

oai:ir.ua.edu:123456789/13086