A Digital Mixed Methods Research Design: Integrating Multimodal Analysis With Data Mining and Information Visualization for Big Data Analytics

2016 ◽  
Vol 12 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Kay L. O’Halloran ◽  
Sabine Tan ◽  
Duc-Son Pham ◽  
John Bateman ◽  
Andrew Vande Moere
Keyword(s):  
Data Mining ◽  
Mixed Methods ◽  
Information Visualization ◽  
Mixed Methods Research ◽  
Information Needs ◽  
Quantitative Methods ◽  
Big Data Analytics ◽  
Large Data ◽  
Crisis Informatics ◽  
Public Data

This article demonstrates how a digital environment offers new opportunities for transforming qualitative data into quantitative data in order to use data mining and information visualization for mixed methods research. The digital approach to mixed methods research is illustrated by a framework which combines qualitative methods of multimodal discourse analysis with quantitative methods of data mining and information visualization in a multilevel, contextual model that will result in an integrated, theoretically well-founded, and empirically evaluated technology for analyzing large data sets of multimodal texts. The framework is applicable to situations in which critical information needs to be extracted from geotagged public data: for example, in crisis informatics, where public reports of extreme events provide valuable data sources for disaster management.

A Generative Sequential Mixed Methods Approach Using Quantitative Measures to Enhance Social Constructionist Inquiry

2021 ◽  
pp. 155868982098627
Author(s):  
Diego Romaioli
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Maslach Burnout Inventory ◽  
Well Being ◽  
Social Constructionist ◽  
Social Scientists ◽  
Mixed Methods Approach ◽  
Qualitative And Quantitative Methods ◽  
Sequential Mixed Methods

In order to enhance core mixed methods research designs, social scientists need an approach that incorporates developments in the social constructionist perspective. This work describes a study that aimed to promote occupational well-being in hospital departments where employees are at risk of burnout, based on a constructionist inquiry developed starting from the Maslach Burnout Inventory. Taking this study as an example, we define a “generative sequential mixed methods approach” as a process that involves consulting quantitative studies to identify criticalities on which to conduct focused, transformative investigations. The article contributes by envisaging ways to mix qualitative and quantitative methods that consider a “generative” and “future-forming” orientation to research, in line with recent shifts in social psychology.

scholarly journals Quality of reporting in chiropractic mixed methods research: a methodological review protocol

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Peter C. Emary ◽  
Kent J. Stuber ◽  
Lawrence Mbuagbaw ◽  
Mark Oremus ◽  
Paul S. Nolet ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Data Extraction ◽  
Reporting Quality ◽  
Health Care Research ◽  
Quality Of Reporting ◽  
Methodological Review ◽  
Chiropractic Research

Abstract Background Mixed methods designs are increasingly used in health care research to enrich findings. However, little is known about the frequency of use of this methodology in chiropractic research, or the quality of reporting among chiropractic studies using mixed methods. Objective To quantify the use and quality of mixed methods in chiropractic research, and explore the association of study characteristics (e.g., authorship, expertise, journal impact factor, country and year of publication) with reporting quality. Methods We will conduct a systematic search of MEDLINE, EMBASE, CINAHL, and the Index to Chiropractic Literature to identify all chiropractic mixed methods studies published from inception of each database to December 31, 2020. Articles reporting the use of both qualitative and quantitative methods, or mixed qualitative methods, will be included. Pairs of reviewers will perform article screening, data extraction, risk of bias with the Mixed Methods Appraisal Tool (MMAT), and appraisal of reporting quality using the Good Reporting of A Mixed Methods Study (GRAMMS) guideline. We will explore the correlation between GRAMMS and MMAT scores, and construct generalized estimating equations to explore factors associated with reporting quality. Discussion This will be the first methodological review to examine the reporting quality of published mixed methods studies involving chiropractic research. The results of our review will inform opportunities to improve reporting in chiropractic mixed methods studies. Our results will be disseminated in a peer-reviewed publication and presented publicly at conferences and as part of a doctoral thesis.

A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research

2020 ◽  
pp. 155868982093788
Author(s):  
Kirstie L. Bash ◽  
Michelle C. Howell Smith ◽  
Pam S. Trantham
Keyword(s):  
Mixed Methods ◽  
Hierarchical Linear Modeling ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Linear Models ◽  
Mixed Methods Study ◽  
Linear Modeling ◽  
Methodological Review ◽  
Design Choice

The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article examines the role of hierarchical linear modeling in mixed methods research with emphasis on design choice, priority, and rationales. The results from this systematic methodological review suggest that hierarchical linear modeling does not overshadow the contributions of the qualitative strand. Our study contributes to the field of mixed methods research by offering recommendations for the use of hierarchical linear modeling as the quantitative strand in mixed methods studies.

Mixed Methods Research

2017 ◽  
Author(s):  
Daphne C. Watkins
Keyword(s):  
Social Work ◽  
Mixed Methods ◽  
Data Integration ◽  
Social Workers ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Social Work Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Single Study

Mixed methods research integrates both qualitative and quantitative methods into a single study to produce a more inclusive and expansive understanding of a topic. This article defines mixed methods in social work research, and discusses design notation, language, popular mixed methods designs, and data integration. Using mixed methods provides an opportunity for social workers to take advantage of the strengths of both qualitative and quantitative approaches and to offset their weaknesses. It is important that social workers engaged in mixed methods research maximize the interpretation of their findings and articulate the advantages of using mixed methods over qualitative or quantitative methods alone. Given the unique features of the profession, it is imperative that social workers carve out a distinctive mixed methods niche for social work researchers and practitioners.

scholarly journals The untapped potential of mixed-methods research approaches for German history education research

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Manuel Köster ◽  
Holger Thünemann
Keyword(s):  
Education Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
History Education ◽  
Added Value ◽  
German History ◽  
Research Approach ◽  
German Studies ◽  
Qualitative Approaches

Despite some pioneering studies, mixed-methods research approaches are uncommon in the German history education community, in contrast to the general increase in mixed-methods research in the educational and social sciences. Conversely, German history education research currently appears to favour quantitative methods as opposed to qualitative approaches – at least in larger research projects. In this paper, we argue for a more inclusive research approach combining qualitative and quantitative methods. Discussion of a pioneering study from the 1980s (Jeismann et al ., 1987) highlights implementation of this unusual approach to history education research in Germany. To illuminate the added value of such a mixed-methods research approach, we discuss two published German studies that respectively rely on quantitative (Trautwein et al ., 2017) and qualitative (Köster, 2013) research methods. A mixed-methods approach might have illuminated each study's 'blind spots'.

Graduate Students’ Current Practices for Writing a Mixed Methods Research Study Abstract: An Examination of Doctoral Dissertation and Master’s Thesis Abstracts in the ProQuest Dissertations and Theses GlobalTM Database

2020 ◽  
pp. 110-128
Author(s):  
Sinem Toraman ◽  
Kyle Cox ◽  
Vicki L. Plano Clark ◽  
Jacinda K. Dariotis
Keyword(s):  
Mixed Methods ◽  
Graduate Students ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Added Value ◽  
Research Approach ◽  
Global Database ◽  
Reporting Practices ◽  
Qualitative And Quantitative ◽  
Doctoral Dissertations

As an emergent research approach, mixed methods research (MMR) is receiving increasing attention in graduate student preparation. Despite growing trends in the prevalence of mixed methods research across disciplines and the extensive methodological literature about this approach, little is known about the actual MMR practices of graduate students, such as writing an abstract. To address this gap, this methodological review used qualitative and quantitative approaches to examine 869 abstracts of doctoral dissertations and master’s theses that were labeled as MMR and published between 2013 and 2018 in the ProQuest Dissertations and Theses Global database. The results of this study indicated that a great number of institutions and disciplines have supported the use of MMR in doctoral dissertations and master’s theses. In addition, we found that the prevalence of MMR elements in the abstracts of culminating projects was highly varied. MMR element prevalence analysis revealed relatively common (e.g., qualitative methods, quantitative methods, mixed methods design) and relatively uncommon (e.g., sequence/timing of qualitative and quantitative strands, mixed methods rationale, priority, integration techniques, added value of using MMR) reporting practices. Implications for faculty involved in graduate education and mixed methods researchers are discussed.

Big Data Analytics in Intra-Data Center Networks and Components of Data Mining

2016 ◽  
pp. 82-89
Author(s):  
Pushpa Mannava
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Center ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Large Data ◽  
Data Center Networks ◽  
Advanced Analytics ◽  
Scalable Design ◽  
Data Collections

Data mining is considered as a vital procedure as it is used for locating brand-new, legitimate, useful as well as reasonable kinds of data. The assimilation of data mining methods in cloud computing gives a versatile and also scalable design that can be made use of for reliable mining of significant quantity of data from virtually incorporated data resources with the goal of creating beneficial information which is useful in decision making. The procedure of removing concealed, beneficial patterns, as well as useful info from big data is called big data analytics. This is done via using advanced analytics techniques on large data collections. This paper provides the information about big data analytics in intra-data center networks, components of data mining and also techniques of Data mining.

Retroductive Theorizing: A Contribution of Critical Realism to Mixed Methods Research

2021 ◽  
pp. 155868982110498
Author(s):  
Ferdinand C. Mukumbang
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Critical Realism ◽  
Pragmatic Approach ◽  
Hypothesis Formation ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Broad Complex

Mixed methods studies in social sciences are predominantly employed to explore broad, complex, and multifaceted issues and to evaluate policies and interventions. The integration of qualitative and quantitative methods in social sciences most often follows the Peircean pragmatic approach—abductive hypothesis formation followed by deductive and inductive testing/confirmation—with limited theorizing properties. This paper contributes to the field of mixed methods research in social sciences by explicating a two-way interaction process between mixed methods data and [social] theory in a pluralistic inferencing approach espoused by critical realism—retroductive theorizing. The paper further illustrates how through retroductive theorizing, critical realism offers a more epistemologically and ontologically grounded alternative for integrating qualitative and quantitative methods compared to pragmatism.

Positive Psychology and Humanistic Psychology: Evil Twins, Sibling Rivals, Distant Cousins, or Something Else?

2017 ◽  
Vol 58 (3) ◽  
pp. 262-283 ◽  
Author(s):  
Grant J. Rich
Keyword(s):  
Mixed Methods ◽  
Positive Psychology ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Well Being ◽  
Humanistic Psychology ◽  
The Past ◽  
Positivity Ratio ◽  
History Of ◽  
The Relationship

This article builds on earlier work by Rich in the Journal of Humanistic Psychology on relations between positive psychology and humanistic psychology and examines both developments and challenges over the past 15 years, including discussion of leading critics of positive psychology such as Brown, Friedman, Held, Kagan, Waterman, and Wong. The discipline of positive psychology is contextualized with respect to the history of psychology in general, and humanistic psychology in particular, and several notable examples of well-being research are examined critically, including work by Fredrickson on the positivity ratio, and mixed-methods research by anthropologists. The article explores some limitations of the use of quantitative methods in positive psychology, notes some advantages of the use of qualitative methods for positive psychology, and discusses issues regarding the relationship between positive psychology and humanistic psychology, including how, whether, if, and when scholars from the two disciplines could collaborate in meaningful and effective ways.

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