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ERIC Number: EJ1247619
Record Type: Journal
Publication Date: 2020-Apr
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1558-6898
EISSN: N/A
Available Date: N/A
Modeling the Use of Mixed Methods-Grounded Theory: Developing Scales for a New Measurement Model
Howell Smith, Michelle C.; Babchuk, Wayne A.; Stevens, Jared; Garrett, Amanda L.; Wang, Sherry C.; Guetterman, Timothy C.
Journal of Mixed Methods Research, v14 n2 p184-206 Apr 2020
Mixed methods-grounded theory (MM-GT) has emerged as a promising methodology that intersects the value of mixed methods with rigorous qualitative design. However, recent reviews have found that MM-GT empirical studies tend to lack procedural details. The purpose of this article is to apply the "best practices" for conducting MM-GT in a study designed to develop and then test a theoretical model for how undergraduate engineering students develop interest in the engineering PhD. This study contributes to the field of mixed methods research by (a) illustrating best practices for MM-GT, (b) providing an MM-GT scale development example, (c) demonstrating how an MM-GT scale could potentially bypass exploratory factor analysis and proceed directly to confirmatory factor analysis for testing psychometric properties, and showing how a joint display for data collection planning can be used to strengthen integration in an instrument development study.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: EEC0935108
Author Affiliations: N/A