scholarly journals Playing Set® to Discover Qualitative Data Analysis

2015 ◽  
Author(s):  
Jean Scandlyn ◽  
Sarah Hautzinger
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Team Building ◽  
Card Game ◽  
Qualitative Data Analysis ◽  
Multiple Components ◽  
Qualitative Approaches ◽  
Qualitative Evidence ◽  
Health Related

This article describes the use of an experiential classroom exercise using the card game Set® to introduce concepts related to qualitative approaches to research design and analysis, particularly those based in an interpretive framework. The multiple components of the game, which centers on visual pattern recognition, parallel the “organic” complexity of ethnographic investigation and demonstrate how strong interpretations can be supported with qualitative evidence. The first author adapted the exercise, originally developed by the second author for teaching undergraduate anthropology students, for use in workshops teaching qualitative research to mid - career professionals working on health - related projects in Bolivia. In the process the first author discovered that the game was also useful in team - building in a workshop setting, providing a base of shared experience to which participants could refer as they grappled with the intellectual and emotional issues that arose while designing their own research projects and discovering the system and rigor of qualitative data analysis. An unanticipated finding was the exercise’s usefulness in demonstrating the distinction between and complementarity of inductive and deductive approaches in qualitative research.

scholarly journals Introduction to Special Issue: Diverse Approaches to Qualitative Data Analysis for Applied Research

2021 ◽  
Author(s):  
Jessica Lester ◽  
Noah Goodman ◽  
Michelle O'Reilly
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Analysis ◽  
Qualitative Data ◽  
Applied Research ◽  
Special Issue ◽  
Qualitative Data Analysis ◽  
Data Set ◽  
Shared Data ◽  
Qualitative Approaches

This article introduces the special issue, “Diverse Approaches to Qualitative Data Analysis for Applied Research,” in which seven papers analyze one shared data set to illustrate different approaches to qualitative analysis. In addition to discussing the articles included in the special issue, this introduction provides an overview of applied research—highlighting some of the implications for qualitative research—and discusses how researchers could use the special issue to compare different qualitative approaches to choose one most appropriate for a given project’s goals.

scholarly journals ANALYSIS OF SLANG WORDS FORMATION FOUND IN THE LYRICS OF DRAKE’S SONGS

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
I.P.A. Bhuwana ◽  
I.G. Budasi ◽  
G. Mahendrayana
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Document Analysis ◽  
Word Formation ◽  
Formation Processes ◽  
Qualitative Data Analysis ◽  
Music Film ◽  
Descriptive Qualitative

The development of music, film, and other industry of entertainment is stated to contribute to the existence of slang words. There are so many slang words that become popular after they are included in the lyrics of songs. One of them is YOLO (You Only Live Once) which is popularized by Drake. In relation to that, this descriptive qualitative research attempts to find out the types and word formation processes of slang words found in the lyrics of Drake’s songs. By taking the model of document analysis by Bowen (2009) and Qualitative data analysis by Miles and Hubberman (1994), it is found out that there are 190 slang words existing in the lyrics of Drake’s songs. They are respectively categorized into Clipping type (62 slangs), Fresh and Creative type (44 slangs), Compounding type (44 slangs), Imitative type (36 slangs), and Acronym type (4 slangs).

scholarly journals A Call for Enhancing Saturation at the Qualitative Data Analysis Stage via the Use of Multiple Qualitative Data Analysis Approaches

2019 ◽  
Author(s):  
Amber Sechelski ◽  
Anthony Onwuegbuzie
Keyword(s):  
Qualitative Research ◽  
Discourse Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Process ◽  
Comparison Analysis ◽  
Qualitative Data Analysis ◽  
Data Analyses ◽  
Multiple Data

The analysis of data represents the most important and difficult step in the qualitative research process. Thus, recently, a few authors have written methodological works that contain discussion of an array of qualitative data analysis approaches. Yet, despite the call of Leech and Onwuegbuzie (2007) a decade ago for qualitative researchers to analyze a given set of qualitative data in multiple ways, this practice has been largely ignored. Thus, in this article, we bolster the argument for conducting multiple data analyses. In particular, we use data stemming from an interview to demonstrate how using five qualitative data analysis approaches (e.g., constant comparison analysis, discourse analysis) helped to enhance what we refer to as analysis saturation, thereby increasing verstehen (i.e., understanding).

Embracing tension: using Bakhtinian theory as a means for data analysis

2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Multiple Perspectives ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Analysis Process ◽  
Bakhtinian Theory ◽  
Ongoing Dialogue

In this article we introduce tension as a means for qualitative data analysis based on Mikhail Bakhtin’s dialogical theory. We first explain the foundations of Bakhtin’s theory and show the inevitability of tension in our lives and qualitative data analysis. We then offer a review of how Bakhtin’s notion of tension has manifested itself in qualitative research, which prompts us to establish a tensional approach to qualitative data analysis. Finally, we outline our framework for a tensional approach to data analysis and illustrate examples of putting this approach into practice in our own study. Our tensional approach (1) explores key moments of tension; (2) seeks out unease and discomfort; (3) involves researcher and research participants in ongoing dialogue; (4) and embraces multiple perspectives on a range of tensions during the data analysis process. It encourages uncertainties and questions instead of pursuing certainty of meaning and fixed conclusions.

Jack + Jill, and Joey in paradise: CAQDAS Conference 07

KWALON ◽  
2007 ◽  
Vol 12 (2) ◽  
Author(s):  
Hennie Boeije ◽  
Jeanine Evers
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Computer Assisted ◽  
Qualitative Data Analysis

Op Royal Holloway College, universiteit van Londen, werd dit jaar de tweede conferentie over CAQDAS – computer-assisted qualitative data-analysis – gehouden. Het was er van de 17e tot de 19e april zonnig en gezellig. Organisator was het CAQDAS Networking Project van de universiteit van Surrey. De wortels van dat project, dat nu officieel dertien jaar bestaat, liggen in 1989 bij de conferentie Using Computers in Qualitative Research. Dit jaar ging het over Advances in Qualitative Computing.

Introduction to Qualitative Data Analysis

2021 ◽  
pp. 140-172
Keyword(s):  
Qualitative Research ◽  
Grounded Theory ◽  
Data Analysis ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
The Third ◽  
Constant Comparative ◽  
Analytic Induction

This chapter introduces readers to the basics of data analysis and the practical handling of open, axial, and selective coding within and outside the grounded theory. Readers are introduced to segmentation/reassembling, constant comparative, and analytic induction concepts in qualitative data analysis in the first section of this chapter. They should be able to trace the origin of coding of qualitative data in qualitative research. The stages of qualitative data analysis are discussed in the second section. The third section takes readers through the practical steps of open, axial, and selective coding, and detailed examples are given.

Building Transparency and Trustworthiness in Inductive Research Through Computer-Aided Qualitative Data Analysis Software

2019 ◽  
Vol 24 (1) ◽  
pp. 104-139 ◽  
Author(s):  
Paula O’Kane ◽  
Anne Smith ◽  
Michael P. Lerman
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Building Blocks ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Inductive Research ◽  
Computer Aided ◽  
Qualitative Data Analysis Software ◽  
Data Analysis Software

Many scholars have called for qualitative research to demonstrate transparency and trustworthiness in the data analysis process. Yet these processes, particularly within inductive research, often remain shrouded in mystery. We suggest that computer-aided/assisted qualitative data analysis software (CAQDAS) can support qualitative researchers in their efforts to present their analysis and findings in a transparent way, thus enhancing trustworthiness. To this end, we propose, describe, and illustrate working examples of six CAQDAS building blocks, three combined CAQDAS techniques, and two coder consistency checks. We argue that these techniques give researchers the language to write about their methods and findings in a transparent manner and that their appropriate use enhances a research project’s trustworthiness. Specific CAQDAS techniques are rarely discussed across an array of inductive research processes. Thus, we see this article as the beginning of a conversation about the utility of CAQDAS to support inductive qualitative research.

Improving outcomes with Qualitative Data Analysis Software: A reflective journey

2017 ◽  
Vol 18 (3) ◽  
pp. 436-442 ◽  
Author(s):  
Austin G Oswald
Keyword(s):  
Qualitative Research ◽  
Social Work ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Process ◽  
Digital Tools ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Social Work Research ◽  
Qualitative Data Analysis Software

Now more than ever, qualitative social work researchers are being called upon to conduct increasingly complex, multifaceted, and intersectional research. Given the heightened complexity of social work research, it is necessary that scholars learn strategies to streamline the research process and digital tools for qualitative research are a mechanism to do so. In this paper, I share insights gleaned from personal experience working with Qualitative Data Analysis Software, specifically MAXQDA 12, to support a larger study that explored the social lives of older gay men. This paper highlights the various functions of MAXQDA 12 and how qualitative social work researchers can use the program to improve the research process and outcomes. Despite the rapid growth in production of digital tools for qualitative research there remains a dearth in studies that explicitly address how digital tools are used in the extant literature on qualitative research. This paper sheds light on this noted gap in the literature by exploring the functionality of MAXQDA 12 and how it can be applied to improve qualitative social work research.

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