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.

Mixing Beyond Measure: Integrating Methods in a Hybrid Effectiveness–Implementation Study of Operating Room to Intensive Care Unit Handoffs

2019 ◽  
Vol 14 (2) ◽  
pp. 207-226 ◽  
Author(s):  
Angela Ross Perfetti ◽  
Hannah Peifer ◽  
Scott Massa ◽  
Laura J. Di Taranti ◽  
Mahrukh Choudhary ◽  
...  
Keyword(s):  
Intensive Care ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Time Integration ◽  
Mixed Methods Approach ◽  
Qualitative And Quantitative Methods ◽  
High Acuity ◽  
Nuanced Understanding ◽  
Preventable Harm

During hospital handoffs, patient care and information are transferred between teams. Handoffs can expose patients to preventable harm related to lost information or misunderstandings between care teams. In the Handoffs and Transitions in Critical Care (HATRICC) project, we used a convergent mixed methods approach to design, implement, and evaluate a standardized process for handoffs between operating rooms and intensive care units. The value of this work to the field of mixed methods research is in illustrating how sustained, real-time integration of qualitative and quantitative methods contribute to an appropriate, acceptable, and ultimately more effective intervention. This approach allows for a nuanced understanding of implementation and effectiveness outcomes in a high-acuity clinical discipline largely characterized by quantitative approaches to improvement research.

Mixed Methods in the Organizational Sciences

2017 ◽  
Vol 20 (2) ◽  
pp. 179-192 ◽  
Author(s):  
José F. Molina-Azorin ◽  
Donald D. Bergh ◽  
Kevin G. Corley ◽  
David J. Ketchen
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Mixed Methods Approach ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Future Work ◽  
Organizational Sciences

A growing methodological trend is emerging from the recognition that integrating qualitative and quantitative methods in the same study, that is, employing a mixed methods approach, can provide the necessary empirical intricacy and rigor to match the complexities of organizational phenomena. The authors describe opportunities and challenges of mixed methods research in the organizational sciences, explain how the articles offered in this Feature Topic help to advance mixed methods in our field, and offer suggestions for future work that may create additional progress.

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.

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.

scholarly journals Mixing Qualitative and Quantitative Methods in Sports Fan Research

1997 ◽  
Author(s):  
Ian Jones
Keyword(s):  
Mixed Methods ◽  
Quantitative Methods ◽  
Mixed Methods Approach ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Sports Fandom ◽  
Sports Fan

Sports fandom consists of cognitive and affective, as well as behavioural components. Existing sports fan research utilises either strong qualitative, or more often, strong quantitative methodologies. The strengths and weaknesses of each approach are outlined, developing the argument that the use of a single methodology often fails to explore all of these components. The use of a mixed methods approach is suggested to counteract this weakness and to enhance research into the sports fan.

Student’s perceptions of quality learning in a Malaysian university – a mixed method approach

2017 ◽  
Vol 25 (4) ◽  
pp. 500-515 ◽  
Author(s):  
S. Chee Choy ◽  
Joanne Sau-Ching Yim ◽  
Poh Leong Tan
Keyword(s):  
Mixed Methods ◽  
Student Perceptions ◽  
Mixed Methods Research ◽  
Structural Equation ◽  
Phase 1 ◽  
Full Time ◽  
Content Type ◽  
Mixed Methods Approach ◽  
Sequential Mixed Methods ◽  
Quality Learning

Purpose This paper aims to examine students’ perceptions of quality learning using a mixed-methods approach in a Malaysian university, with an aim to fill existing knowledge gaps in the literature on relationships among relevant quality variables. The study also assesses the extent to which detailed results from a few participants can be generalised to a larger sample from the population. Design/methodology/approach A sequential, mixed-methods approach was used to obtain a more meaningful and balanced analysis of the data. In total, 12 students were purposively selected and interviewed in Phase 1, to gain insights into their perceptions of quality learning at a selected university. The results of the qualitative analysis were used to develop hypotheses for a quantitative survey of 1,490 students in Phase 2. The samples consisted of students enrolled in full-time bachelor’s degree programmes. The survey data were analysed using structural equation modelling (SEM) to confirm a series of hypotheses about pathways of influence of key quality constructs. Findings The results of the study showed strong positive relationships between student perceptions of learning outcomes, curriculum, instructional delivery and support, learning environment and quality learning. The overall findings suggest that the influences of these quality variables on the perceived quality of learning experiences of students may be complex. Practical implications All Malaysian higher education providers are currently concerned with providing high-quality education that caters to students’ needs. The results generate useful evidence for governors, administrators and other stakeholders regarding the students’ perceptions of quality learning. The results provide insights for supporting diverse students served by these providers. Originality/value The sequential, mixed-methods research design of the study contributed a rich contextual description of students’ perceptions of quality learning. It also fills the knowledge gap mentioned.

Mixed Methods Program Evaluation

2019 ◽  
pp. 304-320
Author(s):  
Deepthiman Gowda ◽  
Tayla Curran ◽  
Dorene F. Balmer
Keyword(s):  
Program Evaluation ◽  
Mixed Methods ◽  
Quantitative Methods ◽  
Evaluation Method ◽  
Narrative Medicine ◽  
Health Humanities ◽  
Mixed Methods Approach ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Mixed Methods Evaluation

Program evaluations explore the effectiveness and feasibility of new programs. An evaluation method using a mixed methods approach combines qualitative and quantitative data; this approach enables triangulation of data to provide more comprehensive understanding of a program and increase the trustworthiness of evaluation findings. Mixed methods evaluation can be resource intensive and requires expertise in both qualitative and quantitative methods. Program evaluation questions should be informed by program stakeholders and by the concerns of the field. In this chapter, the authors describe how to conduct a mixed methods program evaluation and explore its benefits and limitations. The authors draw on their experience of using a mixed methods approach to evaluate a year-long narrative medicine program in primary care clinics. Though not appropriate for all health humanities program evaluation, a mixed methods evaluation offers rich, multidimensional understandings of programs.

scholarly journals Innovations in Mixed Methods Evaluations

2019 ◽  
Vol 40 (1) ◽  
pp. 423-442 ◽  
Author(s):  
Lawrence A. Palinkas ◽  
Sapna J. Mendon ◽  
Alison B. Hamilton
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Intervention Program ◽  
Rapid Assessment ◽  
Evaluation Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Implementation Studies ◽  
Effectiveness Studies

Mixed methods research—i.e., research that draws on both qualitative and quantitative methods in varying configurations—is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness–implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or “quantitizing”) qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.

Constructing a Mixed Methods Research Design: Exploration of an Architectural Intervention

2016 ◽  
Vol 12 (2) ◽  
pp. 148-165 ◽  
Author(s):  
Seng Yeap Kong ◽  
Naziaty Mohd Yaacob ◽  
Ati Rosemary Mohd Ariffin
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Architectural Design ◽  
Quantitative Methods ◽  
School Students ◽  
Qualitative And Quantitative Methods ◽  
Quasi Experimental ◽  
Architectural Research ◽  
And Behavior ◽  
Attitudes And Behavior

The aim of this methodological description is to illustrate the application of mixed methods research in architectural design using a hybrid model consisting of a taxonomy development model and an embedded quasi-experimental model. The research employed qualitative and quantitative methods to explore the design of an architectural intervention and determine its effectiveness in improving environmental knowledge, attitudes, and behavior among primary school students. It also outlined strategies adopted to overcome the challenges related to the use of a hybrid design. Combining sequential and embedded mixed methods designs is a relatively new approach in architectural research, providing new insights that contribute to future mixed methods exploration in the field of design and planning.

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