Qualitative research

2020 ◽  
pp. 99-112
Author(s):  
Oana Mitrofan ◽  
Rose McCabe
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Mixed Methods ◽  
Data Collection ◽  
Mixed Methods Research ◽  
Healthcare Research ◽  
Decision Making Process ◽  
Validity And Reliability ◽  
Quality Appraisal ◽  
Qualitative And Quantitative

This chapter offers an overview of the nature and purpose of qualitative research, its methods and processes, quality appraisal, synthesis of qualitative research, and the integration of qualitative and quantitative approaches in mixed methods research. It includes a brief description of the approaches commonly used in health and healthcare research to collect and analyse qualitative data. The authors make suggestions and provide examples to illustrate the decision-making process in choosing the method(s) of data collection when designing a qualitative project. A number of ways to ensure scientific rigour in the design, conduct, and reporting of qualitative research, with particular regard to validity and reliability, are summarized. The last two sections focus on the key strengths and limitations of qualitative research. A few practical exercises are provided at the end of this chapter to assist the reader in revising the basic steps in the design of a qualitative research project.

Qualitative and quantitative methodologies in comparative research: An integrated approach?

2010 ◽  
pp. 19-34
Author(s):  
Graham Scambler
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Comparative Research ◽  
Mixed Methods Research ◽  
Integrated Approach ◽  
Research Strategies ◽  
Qualitative And Quantitative ◽  
Critical Realist ◽  
Deductive Research ◽  
Theoretical Dimension

This paper starts by characterizing conventional notions of quantitative ‘versus' qualitative research and considers their potential displacement by ‘mixed-methods' research. The claim that mixed-methods research is necessarily an advance on its predecessors is critiqued. Using a critical realist approach favouring retroductive and abductive rather than inductive and deductive research strategies, it is suggested that the theoretical dimension implicit in all research is too often neglected. It is further contended that ‘making a case' empirically amounts to much the same things as ‘making a case' theoretically. More ‘metareflection' is commended. Brief references is made to the literature on health inequalities to add some flesh to the bones of the argument.

scholarly journals Penguatan Gender dalam Pengambilan Keputusan Birokrasi di Kabupaten Bone Bolango

2018 ◽  
Vol 1 (1) ◽  
pp. 24
Author(s):  
Robby Hunawa
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Data Collection ◽  
Research Method ◽  
Decision Making Process ◽  
The Public ◽  
Female Figures ◽  
Reinforcement Model ◽  
The Impact

The long-term goal of this research is the birth of the process of drawing women's involvement in the bureaucratic decision-making process, and the gender reinforcement model in bureaucratic decision making in Bone Bolango District. The target of the research will be done by stages: 1) identify the problem of constraints faced; and 2) to formulate a model of gender reinforcement in bureaucratic decision making. The research method used is qualitative research with data collection techniques through: interview, documentation, and FGD. Further data collected will be analyzed data triangulation. The result of the research is the birth of a model of gender reinforcement in decision making bureaucracy. The impact of the study will provide answers on women's partisifasi in decision making. During this time the existence of women is very much ruled out. The presence of female figures in the public dimension brings new trends in the context of government. Women want to be treated proportionally. This tendency has implications for the inclusion of women to compete with men to become leaders.

scholarly journals The Underreported Significance of Transcription Decisions: Perspectives Gained from Two Different Vantage Points

2019 ◽  
Author(s):  
Lilian Cibils
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Data Collection ◽  
Qualitative Data ◽  
Decision Making Process ◽  
Transcription Process ◽  
Significant Process ◽  
Vantage Points ◽  
A Minor ◽  
Qualitative Data Collection

In this paper, I propose redefining transcription as a significant process within qualitative research, and as more deserving of attention and of transparency in reporting. Although interviewing has become one of the most frequently used methods of qualitative data collection, when summarizing the methodology adopted in their studies, researchers are still not likely to describe either the transcription process itself or the decision-making process that led up to it. One of the problems with transcription is that it is frequently addressed separately from the broader philosophical, ideological or epistemological contexts of a study, and dealt with as a minor independent logistics issue, and its resolution reduced to its mechanics or its physical completion. In this article, I highlight the significance of decisions made about transcription as illustrated by an account of two contrasting experiences. I explore the choices made related to who undertakes the process and how it is completed as based on theoretical underpinnings. These decisions, as illustrated in the examples, reflect views on what is to be known and what is considered to be the data, and will, ultimately, determine the limitations or the possibilities for analysis and interpretation.

scholarly journals Mixed Methods in CAM Research: A Systematic Review of Studies Published in 2012

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Felicity L. Bishop ◽  
Michelle M. Holmes
Keyword(s):  
Mixed Methods ◽  
Complementary Medicine ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Mixed Methods Design ◽  
Quality Appraisal ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Appraisal Tool

Background. Mixed methods research uses qualitative and quantitative methods together in a single study or a series of related studies.Objectives. To review the prevalence and quality of mixed methods studies in complementary medicine.Methods. All studies published in the top 10 integrative and complementary medicine journals in 2012 were screened. The quality of mixed methods studies was appraised using a published tool designed for mixed methods studies.Results. 4% of papers (95 out of 2349) reported mixed methods studies, 80 of which met criteria for applying the quality appraisal tool. The most popular formal mixed methods design was triangulation (used by 74% of studies), followed by embedded (14%), sequential explanatory (8%), and finally sequential exploratory (5%). Quantitative components were generally of higher quality than qualitative components; when quantitative components involved RCTs they were of particularly high quality. Common methodological limitations were identified. Most strikingly, none of the 80 mixed methods studies addressed the philosophical tensions inherent in mixing qualitative and quantitative methods.Conclusions and Implications. The quality of mixed methods research in CAM can be enhanced by addressing philosophical tensions and improving reporting of (a) analytic methods and reflexivity (in qualitative components) and (b) sampling and recruitment-related procedures (in all components).

scholarly journals Collaboration Patterns as a Function of Research Experience Among Mixed Researchers: A Mixed Methods Bibliometric Study

2019 ◽  
Author(s):  
Melanie Wachsmann ◽  
Anthony Onwuegbuzie ◽  
Susan Hoisington ◽  
Vanessa Gonzales ◽  
Rachael Wilcox ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Data Collection ◽  
Mixed Methods Research ◽  
Affective State ◽  
Research Experience ◽  
Qualitative And Quantitative ◽  
The Third ◽  
Qualitative Phase ◽  
Research Studies

Onwuegbuzie et al. (2018) documented that the degree of collaboration is higher for mixed researchers than for qualitative and quantitative researchers. The present investigation examined the (a) link between the research experience of lead authors and their propensity to collaborate (Quantitative Phase), and (b) role of research experience in collaborative mixed research studies (Qualitative Phase). Analyses of articles published in the Journal of Mixed Methods Research from 2007 (its inception) to the third issue in 2018 (time of data collection) revealed that the average research experience of lead authors decreased from 20.29 in 2007 to 14.24 in 2017 (last complete year), representing a significant reduction of 29.8%. No statistically significant relationship emerged between degree of collaboration and research experience. The qualitative phase yielded 3 themes and 9 subthemes that identified several differences and similarities between the desire for collaboration and research experience. In particular, for the least-experienced mixed methods researchers, collaboration might be associated with negative emotions (e.g., frustration, stress, anxiety) and this coupled with the lack of perceived weaknesses reported by the most-experienced sub-participants, suggest that years of experience have an impact on their affective state during the conduct of collaborative mixed methods research studies. Implications of these findings are discussed.

Integrating qualitative and quantitative data and findings

2018 ◽  
Author(s):  
Alicia O'Cathain
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Data Collection ◽  
Quantitative Data ◽  
Research Team ◽  
Mixed Methods Study ◽  
The Other ◽  
Original Research ◽  
Qualitative And Quantitative

Integration is where one method influences in some way the objectives, sampling, data collection, analysis, or interpretation of the other methods within a mixed methods study. Studies of qualitative research undertaken with RCTs have identified that publications often have no evidence of integration of findings. That is, the promise of qualitative research helping to explain the RCT results is simply not delivered in practice, or at least not in a way that is visible outside the original research team. The focus of this chapter is on where integration can occur within a study, the techniques that can facilitate integration, and examples of integration in the context of qualitative research and RCTs.

scholarly journals GENDER STRENGTHENING IN BUREAUCRATIC DECISION MAKING CITY OF GORONTALO

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Dewi Walahe
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Data Collection ◽  
Research Method ◽  
City Government ◽  
Decision Making Process ◽  
Zero Sum ◽  
Term Objective

ABSTRACT The long-term objective of this research is the birth of a process of describing women's involvement in the bureaucratic decision-making process, and the model of gender strengthening in bureaucratic decision-making in Gorontalo City. The research method used is qualitative research with data collection techniques through: interviews, documentation, and FGD. Then the collected data will be analyzed by triangulation data. The results show that: first, so far the existence of women in the Gorontalo City government in the bureaucratic decision-making process is still less than optimal, although the potential quantity of women is 3,023 (66.97%) compared to 1,491 men (33.03%). The progress of the role of women in the bureaucratic leadership only 6 people occupied the heads of regional apparatus organizations and 24 others were men. This symptom certainly has an impact on demands. women must play their role in realizing democracy that is not gender biased as well as proof of the maturity of a nation. Keuda, the Gender Strengthening Model in the decision making of the bureaucracy in Gorontalo City is the zero-sum and positive-sum models.

Change, Challenges, and Mixed Methods

2017 ◽  
Author(s):  
Jeasik Cho
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Evaluation Criteria ◽  
Scientific Research ◽  
Evaluation Strategy ◽  
Validity Criteria ◽  
Research Questions ◽  
The Way

This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.

scholarly journals A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems

2020 ◽  
Vol 5 (12) ◽  
pp. e002938
Author(s):  
Austin Carter ◽  
Nadia Akseer ◽  
Kevin Ho ◽  
Oliver Rothschild ◽  
Niranjan Bose ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Global Health ◽  
Health Outcomes ◽  
Mixed Methods Research ◽  
Multidisciplinary Teams ◽  
Ongoing Research ◽  
Qualitative And Quantitative ◽  
Success Stories ◽  
Quantitative Analyses ◽  
Comprehensive Framework

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.

Preparation of Sub-Criteria for Mathematical Modeling of Multi-Criteria Decision Making

2014 ◽  
Vol 1020 ◽  
pp. 765-768
Author(s):  
Eva Berankova ◽  
František Kuda ◽  
Stanislav Endel
Keyword(s):  
Decision Making ◽  
Public Service ◽  
Input Data ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Individual Selection ◽  
Qualitative And Quantitative ◽  
Data Analyses ◽  
Quantitative Characters ◽  
The Subject

The subject of this paper is to evaluate criteria in the decision-making process for choosing new usable office facilities in light of a big company or public service seeking for new usable office facilities. The criteria defining the requirements for individual selection variants enter into this decision-making process. These criteria have qualitative and quantitative characters. In order to model the criteria, it is desirable that their values are standardized. The method of standardization of these criteria is given in this paper. In this paper, attention is paid to the decision-making process in the course of choosing new usable facilities in administration objects. This decision-making process is based on input data analyses and on conclusions for a certain selection variant resulting from them.

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