Integration as a Process: Applying Iterative Multiple Correspondence Analysis to Surface Dynamic Findings

2021 ◽  
pp. 155868982110216
Author(s):  
Elisabeth L. Kutscher ◽  
Lionel C. Howard
Keyword(s):  
Mixed Methods ◽  
Correspondence Analysis ◽  
Mixed Methods Research ◽  
Multiple Correspondence Analysis ◽  
Data Type ◽  
Integration Process ◽  
Making Sense ◽  
Crossover Analysis ◽  
Research Integration ◽  
Surface Dynamic

A defining characteristic of mixed methods research, integration receives considerable attention in the field, yet evidence suggests that the process of integration may be challenging in practice. Crossover analyses, in which methods typically used with one data type are applied to a different data type, can deepen integration. Using an example from the field of education, this article demonstrates the iterative application of multiple correspondence analysis as a crossover analysis through a four-stage integration process. Contributions to the field of mixed methods include (a) the utility and potential of multiple correspondence analysis to surface new dimensions of integrated findings, (b) considerations for rigor in the application of crossover methods, and (c) considerations for making sense of diffractive or dynamic findings.

A Mixed Methods Study of K–12 Influences on College Participation for Students With Disabilities

2020 ◽  
Vol 43 (2) ◽  
pp. 101-114
Author(s):  
Elisabeth L. Kutscher ◽  
Elizabeth D. Tuckwiller
Keyword(s):  
Mixed Methods ◽  
Students With Disabilities ◽  
Postsecondary Education ◽  
Mixed Methods Research ◽  
Multiple Correspondence Analysis ◽  
College Participation ◽  
Quantitative Results ◽  
Education Participation ◽  
Transformative Mixed Methods ◽  
K 12

This study investigated K–12 experiences individuals with disabilities perceived as influencing their transition to and participation in postsecondary education. Using a convergent transformative mixed methods research design, the study integrated findings from interviews and surveys ( n = 13) using multiple correspondence analysis. Qualitative analyses yielded eight K–12 facilitators of postsecondary education participation. Quantitative results showed participants reported access to at least one previously identified high school predictor, high levels of self-determination, and neutral identification with a disability community. Finally, integrated findings revealed that endorsement of facilitators was associated with experiencing a challenging transition to postsecondary education. Research and practice implications are discussed.

Using Mixed Methods Research as a Tool for Developing an Indigenous Cultural Values Instrument in Malaysia

2019 ◽  
Vol 14 (3) ◽  
pp. 403-424
Author(s):  
Mehdi Taghipoorreyneh ◽  
Ernest C. de Run
Keyword(s):  
Mixed Methods ◽  
Cultural Values ◽  
Research Design ◽  
Correspondence Analysis ◽  
Field Test ◽  
Delphi Study ◽  
Mixed Methods Research ◽  
Indigenous Culture ◽  
Validity And Reliability ◽  
Rigorous Method

The purpose of this article is to illustrate how mixed methods research can be applied as a rigorous method for developing a quantitative instrument responsive to an indigenous culture in Malaysia. In a sequential research design, a three-round Delphi study was conducted to integrate open-ended and free-listing data, and to generate a list of items. The items were subjected to a field test to ensure reliability. A correspondence analysis of scale was employed to examine the validity of the instrument. This research contributes to mixed methods by illustrating the value of Delphi groups as part of a mixed methods research design and the utility of mixed methods research in advancing the validity and reliability of an indigenous cultural values instrument.

scholarly journals Mixed Methods Research of Adult Family Care Home Residents and Informal Caregivers

2014 ◽  
Author(s):  
Guy Jeanty ◽  
James Hibel
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Care Home ◽  
Informal Caregivers ◽  
Family Care ◽  
Sampling Strategy ◽  
Iterative Approach ◽  
Integration Process ◽  
Mixed Methods Approach ◽  
Process And Outcome

This article describes a mixed methods approach used to explore the experiences of adult family care home (AFCH) residents and informal caregivers (IC). A rationale is presented for using a mixed methods approach employing the sequential exploratory design with this poorly researched population. The unique challenges attendant to the sampling strategy with this population, and an iterative approach of data collection and data analysis are discussed. A summary of the data integration process and outcome is presented.

Integrating Using a Crossover Analysis With Formative Joint Displays in Mixed Methods Research

2021 ◽  
pp. 155868982110476
Author(s):  
David Reeping ◽  
Cherie Edwards
Keyword(s):  
Higher Education ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Descriptive Study ◽  
Multiple Data ◽  
Crossover Analysis

We show in this methodological article how formative joint displays can be used to integrate multiple data facets. Joint displays in the published literature are intended to be polished research products that illustrate the connections between quantitative and qualitative inferences. However, we contend using joint displays formatively during analysis can yield more comprehensive metainferences. Accordingly, we introduce a process called joint display coding to formalize the process toward these metainferences. Our approach draws upon the “text-in-context” coding approach and intersects it with a crossover analysis. We showcase an example of joint display coding using a descriptive study of U.S. institutional webpages in higher education. Integrated themes were developed by blending the structural and textual facets of webpage data.

On the Problems of Honorary Work in German Sports Clubs–A Qualitative-Dominated Crossover Mixed Methods Study

2020 ◽  
Vol 12 (3) ◽  
pp. 335-353
Author(s):  
Stefan König ◽  
Steffen Greve
Keyword(s):  
Mixed Methods ◽  
Social Life ◽  
Mixed Methods Research ◽  
Multiple Correspondence Analysis ◽  
Numerical Data ◽  
Mixed Methods Study ◽  
Data Conversion ◽  
Multidimensional Data ◽  
Data Set ◽  
Sports Clubs

In crossover mixed analyses, one form of data is analyzed applying techniques that usually are associated with the alternative paradigm in order to yield a higher level of data integration. This basic principle is implemented in equal-status studies and in quantitative- as well as in qualitative-dominated approaches. Focusing on the latter, data conversion has been a vital issue of mixed methods research for many years, likely because it entails quantitizing narrative data to provide a basis for descriptive and inferential statistical analyses. Referring hereon, this article presents a qualitative-dominated crossover mixed methods study dealing with the problem of honorary work in German sports clubs, an issue that has been intensively discussed in sports and in other areas of society due to some alarming developments in social life. In this process, the issue of honorary work is utilized as an example of demonstrating a methodology. The design presented in this article involved use of a crossover analysis that converts narrative data into numerical data and involves analysis of the new data set using multiple correspondence analysis (MCA) with the aim of discovering patterns among the multidimensional data. In turn, these patterns are interpreted against the background of the first qualitative strand to enhance our understanding. Thus, this study is to be referred to as qualitative-dominated because the sets of qualitative analyses are more comprehensive and important and the researchers have taken a stance that is constructivist, while concurrently believing that quantitative data adds value to this approach.

scholarly journals Making sense with mixed methods: An analysis of the software tool SenseMaker as a novel mixed methods research tool

2020 ◽  
Author(s):  
Lauren Powell
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Software Tool ◽  
Research Tool ◽  
Making Sense

This paper explore the software tool SenseMaker in relation to challenges facing the development of mixed methods research.

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