東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Enhancing the Understanding of Integ...

Zhou, Yi.

Linked to FindBook

Google Book

Amazon

博客來

Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review./
Author:	Zhou, Yi.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	278 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-05, Section: A.
Contained By:	Dissertations Abstracts International82-05A.
Subject:	Information science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28225774
ISBN:	9798684613845

Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review.
Zhou, Yi.

Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 278 p.

Source: Dissertations Abstracts International, Volume: 82-05, Section: A.

Thesis (Ph.D.)--Ohio University, 2020.

This item must not be sold to any third party vendors.

Mixed methods research (MMR), regarded as the third research approach, has been widely adopted in a plethora of disciplines. Integration is the pressing issue regarding the legitimation, the added value, and the quality of using MMR, though inadequate literature has discussed this topic. This study reviewed the integration strategies, particularly the innovative integration strategies in the empirical studies applied MMR by using Cooper's research synthesis approach within three databases from 2018 to 2019. Given the PRISMA methodology, 119 primary studies were synthesized in this review, including 91 categorized as generic MMR studies and 28 studies that adopted innovative integration strategies. Using the developed four-dimensioned codebook, three generic integration strategies were identified in 91 articles: (a) using good mixed methods (MM) research question to guide MM design, (b) using appropriate MM sampling strategy to obtain good data for achieving integration, and (c) using effective MM data mixing strategy to facilitate integration. Of the other 28 studies, three innovative integration strategies were identified at data collection phase: (a) using survey to collect both qualitative (QUAL) and quantitative (QUAN) data sets, (b) using visual support to collect both components, and (c) using high-tech methods to facilitate data collection. Another two innovative integration strategies were identified at data analysis and interpretation phase: (d) using data visualization and (e) quantitizing categorized QUAL data. Moreover, a thematic analysis was conducted to code the reported challenges among these published articles, whose major themes were the divergent issues of conducting MMR and the challenges pertaining to validity issues. Given the reported challenges, the identified integration strategies were advanced to solve relevant challenges. Based on these findings, this review provides an adapted MM integration evaluation checklist (AMMIEC) for MM researchers to gauge the integration quality and encourages the novice MM researchers to explore more innovative integration methods to realize efficient integration.

ISBN: 9798684613845Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

Integration strategies

Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review.
LDR:03437nmm a2200361 4500 001 2284271
005 20211115072421.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798684613845
035 $a (MiAaPQ)AAI28225774
035 $a (MiAaPQ)OhioLINKohiou1596032081233456
035 $a AAI28225774
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhou, Yi. $3 1928781
245 1 0 $a Enhancing the Understanding of Integration in Mixed Methods Research by Reviewing Integration Strategies in Published Journal Articles: A Systematic Review.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 278 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-05, Section: A.
500 $a Advisor: Zhou, Yuchun.
502 $a Thesis (Ph.D.)--Ohio University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Mixed methods research (MMR), regarded as the third research approach, has been widely adopted in a plethora of disciplines. Integration is the pressing issue regarding the legitimation, the added value, and the quality of using MMR, though inadequate literature has discussed this topic. This study reviewed the integration strategies, particularly the innovative integration strategies in the empirical studies applied MMR by using Cooper's research synthesis approach within three databases from 2018 to 2019. Given the PRISMA methodology, 119 primary studies were synthesized in this review, including 91 categorized as generic MMR studies and 28 studies that adopted innovative integration strategies. Using the developed four-dimensioned codebook, three generic integration strategies were identified in 91 articles: (a) using good mixed methods (MM) research question to guide MM design, (b) using appropriate MM sampling strategy to obtain good data for achieving integration, and (c) using effective MM data mixing strategy to facilitate integration. Of the other 28 studies, three innovative integration strategies were identified at data collection phase: (a) using survey to collect both qualitative (QUAL) and quantitative (QUAN) data sets, (b) using visual support to collect both components, and (c) using high-tech methods to facilitate data collection. Another two innovative integration strategies were identified at data analysis and interpretation phase: (d) using data visualization and (e) quantitizing categorized QUAL data. Moreover, a thematic analysis was conducted to code the reported challenges among these published articles, whose major themes were the divergent issues of conducting MMR and the challenges pertaining to validity issues. Given the reported challenges, the identified integration strategies were advanced to solve relevant challenges. Based on these findings, this review provides an adapted MM integration evaluation checklist (AMMIEC) for MM researchers to gauge the integration quality and encourages the novice MM researchers to explore more innovative integration methods to realize efficient integration.
590 $a School code: 0167.
650 4 $a Information science. $3 554358
653 $a Integration strategies
653 $a Mixed methods research
653 $a Systematic review
653 $a Innovative integration strategies
653 $a Evaluation checklist
690 $a 0723
710 2 $a Ohio University. $b Educational Research and Evaluation (Education). $3 3556476
773 0 $t Dissertations Abstracts International $g 82-05A.
790 $a 0167
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28225774