Using a Narrative Approach to Analyze Longitudinal Mixed Methods Data

2020 ◽  
pp. 155868982095323
Author(s):  
Maureen R. Waller ◽  
Lenna Nepomnyaschy ◽  
Daniel P. Miller ◽  
Meaghan Mingo

Despite growing interest in longitudinal mixed methods research designs, more strategies for analyzing and integrating these data are needed. This article contributes to the field of mixed methods research by presenting a novel narrative approach to data analysis in longitudinal studies. Our approach involves the transformation of longitudinal survey data from the Fragile Families and Child Wellbeing Study into narrative case histories. We use qualitative interviews from participants in an embedded study to select survey variables for data transformation and to explain unexpected survey outcomes. Our analysis shows how multiple factors converge to enable or constrain fathers’ involvement with children in five different fathering trajectories, and how the narrative frames of some disadvantaged fathers may facilitate their sustained involvement.

2020 ◽  
Vol 12 (2) ◽  
pp. 153-165
Author(s):  
Mandy M. Archibald ◽  
Anthony J. Onwuegbuzie

Integration—or the meaningful bringing together of different data sets, sampling strategies, research designs, analytic procedures, inferences, or the like—is considered by many to be the hallmark characteristic of mixed methods research. Poetry, with its innate capacity for leveraging human creativity, and like arts-based research more generally, which can provide holistic and complexity-based perspectives through various approaches to data collection, analysis, and representation, can offer something of interest to dialogue on integration in mixed methods research. Therefore, in this editorial, we discuss and promote the use of poetry in mixed methods research. We contend that the complexities and mean-making parallelisms between poetry and mixed methods research render them relevant partners in a quest to complete the hermeneutic circle whose origin represents experiences, phenomena, information, and/or the like. We advance the notion that including poetic representation facilitates the mixed methods research process as a dynamic, iterative, interactive, synergistic, integrative, holistic, embodied, creative, artistic, and transformational meaning-making process that opens up a new epistemological, theoretical, and methodological space. We refer to this as the fourth space, where the quantitative, qualitative, mixed methods, and poetic research traditions intersect to enable different and deeper levels of meaning making to occur. We end our editorial with a poetic representation driven by a word count analysis of our editorial and that synthesizes our thoughts regarding the intersection of poetry and mixed methods research within this fourth space—a representation that we have entitled, “Dear Article.”


Sociology ◽  
2020 ◽  
Vol 54 (4) ◽  
pp. 763-781
Author(s):  
Bryony Hoskins ◽  
Pauline Leonard ◽  
Rachel Wilde

Volunteering is routinely advocated in British policy as a key mechanism for young people to gain employment, but with little evidence of its viability as a strategy. Indeed, the limited research in this area suggests the link is weak and that access to good quality volunteering is differentiated along class lines. This article draws on a mixed methods approach, using survey data from the Citizenship Education Longitudinal Survey and qualitative interviews, to analyse the relationship between youth volunteering and employment. It finds that volunteering is not unequivocally beneficial for employment, particularly if it does not offer career-related experience or is imposed rather than self-initiated. It can even have a negative effect on employment. Furthermore, social class mediates access to volunteering opportunities most likely to convert into employment. We conclude there is little evidence to support policy assumptions that, in the short term, volunteering has a positive relationship to paid employment.


2016 ◽  
Vol 13 (2) ◽  
pp. 216-241 ◽  
Author(s):  
Celina Kacperski ◽  
Roberto Ulloa ◽  
Craig Hall

The purpose of this article is to illustrate data transformation in a mixed methods research phenomenological study, investigating how athletes use concrete and abstract spontaneous imagery in and around competition. To achieve this, we combined the application of co-occurring codes and numerical transformation in a novel way. A thematic analysis of qualitative interviews with 12 elite athletes identified concrete imagery to focus on strategy generation, error correction, technique, and preparation, and abstract imagery to focus on desirability, symbolic and verbal representations, and regulation of affect, arousal, and mastery. Statistical analysis identified that subjective effectiveness of imagery significantly differed for sport type (reactive/static) and competition times. Researchers wishing to apply statistical analyses to qualitative data are encouraged to employ our methodology.


Author(s):  
S Birchall ◽  
Maya Murphy ◽  
Markus Milne

Climate change and solutions to solving this wicked problem require a mixed methods research approach that draws on quantitative and qualitative inquiry together. The purpose of this article is to demonstrate the applicability (and effectiveness) of a mixed methods approach applied to research into the voluntary carbon market (VCM), a key path available for organisations electing to offset their carbon emissions, in New Zealand. The mixed methods approach included three unique data sets (quantitative documents, quantitative surveys, qualitative in-depth interviews), and was both explanatory (qualitative interviews built upon and contextualized the document analysis and survey results) and convergent (data sets were examined separately, then, as they represent different aspects of the same phenomenon, were combined for analysis). These complementary methods were used to gain a fuller picture of the evolution and institutional dynamics of the VCM field in order to produce a comprehensive case study.


2018 ◽  
Vol 6 ◽  
pp. 45-48 ◽  
Author(s):  
Preeti Mahato ◽  
Caterine Angell ◽  
Edwin Van Teijlingen ◽  
Padam P Simkhada

In the areas of health promotion and health education, mixed-methods research approach has become widely used. In mixed-methods research, also called multi-methods research, the researchers combine quantitative and qualitative research designs in a single study. This paper introduces the mixed-methods approach for use in research in health education. To illustrate this pragmatic research approach we are including an example of mixed-methods research as applied in Nepalese research.Journal of Health Promotion Vol.6 2008, p.45-48


2022 ◽  
pp. 289-311
Author(s):  
Notice Pasipamire

This chapter reports on a study that investigated how graduate students in the Faculty of Communication and Information Science at NUST were approaching integration in their mixed-methods research dissertations. There has been a concern that lack of expertise of what mixed-methods research is restricts the integrative capacity. Using a research synthesis method, the study investigated three graduate programmes, namely Master's degrees in Library and Information Science, Records and Archives Management, and Journalism and Media Studies from 2016 up to 2018. A total of 95 dissertations were reviewed, and 40 employed mixed-methods research design. It was discovered that integration was commonly done at methods and interpretation levels. Integration of qualitative and quantitative data sets resulted in confirmation (83), expanding understanding (27), and discordance (31). Graduate students dealt with discordant findings by either ignoring the discordance (20), seek corroboration with existing literature (7), or give priority to the quantitative strand (4).


Author(s):  
Jacquelynne A. Boivin

This chapter presents a thorough review of the literature dedicated to learning more about mixed methods research design. Explanatory sequential mixed methods studies and exploratory sequential mixed methods studies are the two types of mixed methods research design models that this chapter presents in detail. To contextualize different ideas related to research design, the author provides examples of research studies that exemplify different research designs falling within mixed methods. The main objective of this chapter is to highlight the important role that qualitative research design plays in mixed methods research. Such a presentation of the literature aims to argue that qualitative data substantiates quantitative data as a means to heighten the regard which the qualitative methodology receives.


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