scholarly journals Iterative Thematic Inquiry: A New Method for Analyzing Qualitative Data

2020 ◽  
Vol 19 ◽  
pp. 160940692095511
Author(s):  
David L. Morgan ◽  
Andreea Nica
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Data Analysis ◽  
Thematic Analysis ◽  
Theoretical Basis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
New Method ◽  
Data Collection And Analysis ◽  
Primary Procedure

Because themes play such a central role in the presentation of qualitative research results, we propose a new method, Iterative Thematic Inquiry (ITI), that is guided by the development of themes. We begin by describing how ITI uses pragmatism as a theoretical basis for linking beliefs, in the form of preconceptions, to actions, in the form of data collection and analysis. Next, we present the four basic phases that ITI relies on: assessing beliefs; building new beliefs through encounters with data; listing tentative themes; and, evaluating themes through coding. We also review several notable differences between ITI and existing methods for qualitative data analysis, such as thematic analysis, grounded theory, and qualitative content analysis. The use of ITI is then illustrated through its application in a study of exiters from fundamentalist religions. Overall, the two most notable features of ITI are that it begins the development of themes as early as possible, through an assessment of initial preconceptions, and that it relies on writing rather than coding, by using a continual revision of tentative results as the primary procedure for generating a final set of themes.

Thematic Analysis

2021 ◽  
pp. 283-288
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Social Sciences ◽  
Content Analysis ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
Analytic Method ◽  
The Social ◽  
Distinct Method

This chapter evaluates thematic analysis (TA), which is one of the oldest and most widely used qualitative analytic method across the social sciences. TA is a flexible method for identifying and analysing patterns of meaning — ‘themes’ — in qualitative data, with wide-ranging applications. The method has a long, if indeterminate, history in the social sciences, but seems likely to have evolved from early forms of (qualitative) content analysis. TA is now more likely to be demarcated and acknowledged as a distinct method; however, confusion remains about what TA is. The popularity of TA as a distinct method received a considerable boost from the publication of Using Thematic Analysis in Psychology by social psychologists Virginia Braun and Victoria Clarke in 2006, which has become one of the most cited academic papers of recent decades.

scholarly journals Konsep Hadith Mawdu‘i Menurut Perspektif Pengkaji Hadith Kontemporari: Antara Dirasah Al-Mawdu‘Iyyah min Al-Hadith dan Syarh Al-Mawdu‘I li Al-Hadith

2020 ◽  
Vol 16 (1) ◽  
pp. 15-34
Author(s):  
Mohd Nor Adzhar Ibrahim ◽  
Roshimah Shamsudin
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Data Analysis ◽  
Literature Review ◽  
Thematic Analysis ◽  
Technical Aspect ◽  
Analysis Design ◽  
Specific Theme ◽  
The Difference ◽  
Holistic Research

The hadith mawdu’i (thematic hadith) terminology is widely used in contemporary hadith discourse. However, there are confusions in understanding its true concept since several other terms are associated with it namely dirasah al-mawdhu‘iyyah min al-hadith (thematic analysis based on hadith) and sharh al-mawdhu‘i li al-hadith (thematic explanation based on hadith). As such, the purpose of this paper is to study difference opinions amongst the contemporary hadith scholars in comprehending the concept of thematic hadith that gives rise to various definition and concepts. Literature review method based on qualitative research through content analysis design were fully engaged in the data collection as well as data analysis processes. All the definitions and concept of thematic hadith presented by the contemporary hadith scholars in their academic writings were gathered and analyzed to produce a comprehensive depiction.  Based on the existing definitions, the findings of this study illustrate that the present-day thematic hadith researchers’ conceptions are split into two camps. The first is the group that deduces thematic hadith as a study upon collection of hadith or upon one particular hadith with a specific theme while the second group infers thematic hadith as thematic lectures. The findings also demonstrate that the difference in understanding thematic hadith between the two groups are from the guidelines and steps in conducting a research. This is the reason why dirasah al-mawdhu‘iyyah min al-hadith is focused on the technical aspect of the initial hadith research such as takhrij (retrieval of hadith) or identifying mukhtalif (contradictions) and so on. While sharh al-mawdhu‘i li al-hadith concentrates on constructive research in depicting a clear picture of the themes that contained in the hadith. Accordingly, the integration between dirasah al-mawdhu‘iyyah min al-hadith and sharh al-mawdhu‘i li al-hadith would produce a holistic research on thematic hadith.

scholarly journals Learning to Do Qualitative Data Analysis: A Starting Point

2020 ◽  
Vol 19 (1) ◽  
pp. 94-106 ◽  
Author(s):  
Jessica Nina Lester ◽  
Yonjoo Cho ◽  
Chad R. Lochmiller
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Analysis ◽  
Human Resource Development ◽  
Human Resource ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Starting Point ◽  
Common Practices ◽  
Qualitative Analyses

Given the vast and diverse qualitative analytic landscape, what might be a generative starting point for researchers who desire to learn how to produce quality qualitative analyses? This question is particularly relevant to researchers new to the field and practice of qualitative research and instructors and mentors who regularly introduce students to qualitative research practices. In this article, we seek to offer what we view as a useful starting point for learning how to do qualitative analysis. We begin by discussing briefly the general landscape of qualitative research methodologies and methods. To contextualize our suggestions, we review the qualitative analytic practices commonly used within human resource development (HRD). Following this, we describe thematic analysis in more detail, including why we believe it is a particularly useful analytic approach to consider when first learning about qualitative analysis. We share seven common practices or important considerations for carrying out a thematic analysis and conclude by highlighting key considerations for assuring quality when conducting a thematic analysis.

scholarly journals Data Analysis Methods for Qualitative Research: Managing the Challenges of Coding, Interrater Reliability, and Thematic Analysis

2018 ◽  
Author(s):  
Michael Belotto
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Thematic Analysis ◽  
Interrater Reliability ◽  
Qualitative Data ◽  
Sources Of Information ◽  
Qualitative Data Analysis ◽  
Qualitative Researcher ◽  
First Time ◽  
Data Analysis Methods

The purpose of this article is to provide an overview of some of the principles of data analysis used in qualitative research such as coding, interrater reliability, and thematic analysis. I focused on the challenges that I experienced as a first-time qualitative researcher during the course of my dissertation, in the hope that how I addressed those difficulties will better prepare other investigators planning endeavors into this area of research. One of the first challenges I encountered was the dearth of information regarding the details of qualitative data analysis. While my text books explained the general philosophies of the interpretive tradition and its theoretical groundings, I found few published studies where authors actually explained the details pertaining to exactly how they arrived at their findings. Some authors even confirmed my own experience that few published studies described processes such as coding and methods to evaluate interrater reliability. Herein, I share the sources of information that I did find and the methods that I used to address these challenges. I also discuss issues of trustworthiness and how matters of objectivity and reliability can be addressed within the naturalistic paradigm.

scholarly journals Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process

2018 ◽  
Vol 23 (1) ◽  
pp. 42-55 ◽  
Author(s):  
Abdolghader Assarroudi ◽  
Fatemeh Heshmati Nabavi ◽  
Mohammad Reza Armat ◽  
Abbas Ebadi ◽  
Mojtaba Vaismoradi
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
International Literature ◽  
Qualitative Data Analysis ◽  
Step Method ◽  
Team Members ◽  
Analysis Process ◽  
Descriptive Knowledge

Qualitative content analysis consists of conventional, directed and summative approaches for data analysis. They are used for provision of descriptive knowledge and understandings of the phenomenon under study. However, the method underpinning directed qualitative content analysis is insufficiently delineated in international literature. This paper aims to describe and integrate the process of data analysis in directed qualitative content analysis. Various international databases were used to retrieve articles related to directed qualitative content analysis. A review of literature led to the integration and elaboration of a stepwise method of data analysis for directed qualitative content analysis. The proposed 16-step method of data analysis in this paper is a detailed description of analytical steps to be taken in directed qualitative content analysis that covers the current gap of knowledge in international literature regarding the practical process of qualitative data analysis. An example of “the resuscitation team members' motivation for cardiopulmonary resuscitation” based on Victor Vroom's expectancy theory is also presented. The directed qualitative content analysis method proposed in this paper is a reliable, transparent, and comprehensive method for qualitative researchers. It can increase the rigour of qualitative data analysis, make the comparison of the findings of different studies possible and yield practical results.

Republished: The Quality of Qualitative Research

2019 ◽  
Vol 34 (5) ◽  
pp. 439-445 ◽  
Author(s):  
Dave S. Collingridge ◽  
Edwin E. Gantt
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Qualitative Data ◽  
Medical Science ◽  
Real Life ◽  
Existential Phenomenology ◽  
Theoretical Frameworks ◽  
Data Collection And Analysis

In general, an appreciation of the standards of qualitative research and the types of qualitative data analysis available to researchers have not kept pace with the growing presence of qualitative studies in medical science. To help rectify this problem, the authors clarify qualitative research reliability, validity, sampling, and generalizability. They also provide 3 major theoretical frameworks for data collection and analysis that investigators may consider adopting. These 3 approaches are ethnography, existential phenomenology, and grounded theory. For each, the basic steps of data collection and analysis involved are presented, along with real-life examples of how they can contribute to improving medical care.

scholarly journals Analisis Data Kualitatif Dalam Penelitian Pariwisata

2018 ◽  
Author(s):  
Ilham junaid
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Literature Review ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
Dominant Form ◽  
Tourism Research ◽  
Qualitative Research Methodology ◽  
Rich Data

This paper aims at exploring the definition, characteristics and stages of qualitative data analysis in tourism research. The paper is based on the writer’s experience in implementing qualitative data analysis as well as literature review on qualitative research methodology. Qualitative researchers may deal with different and rich data from qualitative methods. However, many qualitative researchers do not understand how to produce knowledge from qualitative data. For this reason, the result of a qualitative research tends to be descriptive without contributing to the advancement of knowledge. Thematic analysis is considered as a dominant form of analysis in qualitative research. Its stages consist of data reduction, organization and interpretation. Coding is the key for succeeding the qualitative data analysis. Hence, examples of qualitative data analysis in tourism research are provided to give practical stages of how to analyze qualitative data.

scholarly journals Qualitative Research without money: Experiences with a home-grown Qualitative Content Analysis tool

2013 ◽  
Vol 9 (4) ◽  
Author(s):  
Andy Bytheway
Keyword(s):  
South Africa ◽  
Qualitative Research ◽  
Content Analysis ◽  
Qualitative Data ◽  
Ad Hoc ◽  
Qualitative Content Analysis ◽  
Great Difficulty ◽  
Research Data ◽  
Analysis Tool ◽  
Research Students

Experience with young research students in South Africa, most of whom have few or no resources and are not supported by research infrastructure by their universities, shows that they have great difficulty in learning the techniques of qualitative research.  Beginning as a simple idea, the development of an ad-hoc package intended to assist with the coding and categorisation of qualitative data led to a useful suite of facilities that contributed to at least four projects, one of which had the texts of 52 interviews to work with.  It proved possible to import, structure and organise the research data in a way that then permitted useful export of charts, tables and text into papers and theses.  With appropriate skills, researchers also found it possible to apply their own SQL queries to data that was now well structured and fully normalised (in terms of database design).  Comparison with two commercial packages shows that many of the proclaimed features of the commercial packages were replicated, and in at least one instance they seem to have been exceeded.

scholarly journals Inductive and Deductive: Ambiguous Labels in Qualitative Content Analysis

2018 ◽  
Author(s):  
Mohammad Reza Armat ◽  
Abdolghader Assarroudi ◽  
Mostafa Rad ◽  
Hassan Sharifi ◽  
Abbas Heydari
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
Qualitative Data Analysis ◽  
Qualitative Approaches ◽  
Directed Content Analysis ◽  
Nursing Literature

The propounded dualism in Content Analysis as quantitative and qualitative approaches is widely supported and justified in nursing literature. Nevertheless, another sort of dualism is proposed for Qualitative Content Analysis, suggesting the adoption of "inductive" and/or "deductive" approaches in the process of qualitative data analysis. These approaches have been referred and labelled as "inductive" or "conventional"; and "deductive" or "directed" content analysis in the literature. Authors argue that these labels could be fallacious, and may lead to ambiguity; as in effect, both approaches are employed with different dominancy during the process of any Qualitative Content Analysis. Thus, authors suggest more expressive, comprehensive, yet simple labels for this method of qualitative data analysis.

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