2015 ASEE Annual Conference and Exposition Proceedings
DOI: 10.18260/p.23376
|View full text |Cite
|
Sign up to set email alerts
|

A Dialectic Data Integration Approach for Mixed Methods Survey Validation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 19 publications
0
4
0
Order By: Relevance
“…Here we report the factor loadings that we derived from the confirmatory factor analyses. Items with higher factor loadings are likely more salient to the factor within our participant context when compared with items with lower factor loadings (Fila et al, 2015).…”
Section: Quantitativementioning
confidence: 92%
See 2 more Smart Citations
“…Here we report the factor loadings that we derived from the confirmatory factor analyses. Items with higher factor loadings are likely more salient to the factor within our participant context when compared with items with lower factor loadings (Fila et al, 2015).…”
Section: Quantitativementioning
confidence: 92%
“…A mixed methods approach aims to integrate different processes of knowledge generation, or what Greene (2007) describes as "meaningful engagement with difference" (p. 14). To facilitate such engagement, in alignment with Fila et al (2015), we employed Messick's (1995) six aspects of construct validity to bolster…”
Section: Validitymentioning
confidence: 99%
See 1 more Smart Citation
“…An open-minded researcher is appropriate for utilizing the beauties of MMR. The dialectical mixed methods researcher embraces each of the incompatible paradigms, and carefully navigates between them when working in the QUAN versus QUAL domains (Fila, Hess & Purzer, 2015). It is possible to integrate quantitative and qualitative methods, combining these methods introduces both testability and context into the research.…”
Section: Paradigmatic Claritymentioning
confidence: 99%