Qualitative Data Analysis Approaches

Author(s):  
Katherine J C Sang ◽  
Rafal Sitko

Whether researchers are using interviews, focus groups, or textual analysis, large amounts of data are produced. It can be daunting to manage and analyse the many thousands of words produced. The purpose of this chapter is to provide suggestions on how to move beyond describing what participants have said, to analysing the data. In this chapter researchers will learn more about the most common approaches to analysing qualitative data, namely, Grounded Theory, thematic and template analysis, discourse analysis and hermeneutics. Situations where each approach may be more suitable are suggested. By the end of the chapter readers should be able to identify which approach is appropriate to their data set. In addition, readers will be able to undertake robust analysis of their qualitative data.

Author(s):  
Bridget E Ogharanduku ◽  
Lubaina Zakaria ◽  
Rafał Sitko ◽  
Katherine J C Sang

The nature and volume of qualitative data can be overwhelming for researchers. This chapter provides useful steps for organising, managing and analysing qualitative data. Several techniques for analysing qualitative data are discussed in this chapter with examples to enable users to conduct their own analysis. The techniques include grounded theory, thematic analysis, template analysis, narrative analysis, textual analysis, discourse analyses, content analysis and hermeneutics. Validity and reliability issues to consider when analysing qualitative data are equally discussed. The chapter also considers technological tools available for organising, managing and retrieving qualitative data.


Author(s):  
Amber Sechelski ◽  
Anthony Onwuegbuzie

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).


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.


2018 ◽  
Vol 50 (3) ◽  
pp. 322-331 ◽  
Author(s):  
Leanne Bowler ◽  
Heidi Julien ◽  
Leslie Haddon

This paper examines issues associated with secondary analysis of qualitative data and their implications for information behaviour scholarship. Secondary data analysis poses a range of potential challenges for data creators, but also opportunities, including the ability to expand theory to a wider context, strengthen the reliability and validity of existing theory, gain access to populations that may be difficult to access, and to promote data archiving. The paper uses as a case study of secondary data analysis the results from our re-examination of data gathered previously in the European Union project Net Children Go Mobile, drawing from the interview transcripts from the 34 children in the UK data set. Our approach to secondary analysis was reanalysis, applying a new interpretive lens to the data that necessitated new questions in order to reveal hidden layers in the data. The data was analysed for evidence of information behaviour in order to understand how mobile technologies may be changing the way that young people seek and use information. The reanalysis of the data set supported existing models of information behaviour but revealed new ways of information seeking based on the affordances of screen size and data plans.


2005 ◽  
Vol 71 (3) ◽  
pp. 249-265 ◽  
Author(s):  
Maho Kasahara ◽  
Ann P. Turnbull

This study inquired into the meaning of family-professional partnerships from the perspective of Japanese families of children with disabilities. Data were collected from 30 mothers who participated in focus groups and/or interviews in Japan. Qualitative data analysis guided identification of four themes. The study's contributions are discussed in relation to not only Japanese society, but also to the global community including the United States. The study's implications for developing partnerships with culturally diverse families also are discussed.


2021 ◽  
pp. 220-240
Author(s):  
Anna G. Danilova ◽  
Olga V. Mitina

Relevance. In applied psychology, researchers are increasingly faced with the task of analyzing large amounts of text, both verbal and visual. For these purposes, various methods of analysis have been developed and various computer programs have been created. Objective. The possibilities of computerized qualitative text analysis are analyzed. The spectrum of problems solved by various methods of qualitative text analysis is considered. Methods. The theoretical analysis of classical methods of qualitative text analysis is carried out. The specificity of the method of computerized discourse analysis is analyzed. The Internet searched for the most popular programs for qualitative text analysis, considered the main options and requirements for working in the program. Results. Methods of content-, discourse-, intent-analysis, conversion and narrative analysis are briefly characterized. The computerized discourse analysis (CMDA) approach is described. An approach to solving problems of various methods of qualitative analysis of text in computer analysis of qualitative data (Computer Assisted Qualitative Data Analysis; CAQDAS) is presented. The possibilities of some software packages developed within the CAQDAS approach are considered. Conclusions. The advantages of using computerized discourse analysis are shown. The topic of research of methodological problems accompanying the use of CAQDAS is outlined.


Author(s):  
Eric Dishongh

Jamie Harding’s (2013) Qualitative Data Analysis from Start to Finish is a new, user-friendly book for beginning qualitative research students. The thrust of the book deals with analyzing qualitative data from interviews and focus groups. This reviewer considers the relevance of Harding’s book for a Qualitative Research course in an MFT doctoral program.


2020 ◽  
Vol 5 (3) ◽  
pp. 249-267
Author(s):  
Fitria Wulandari ◽  
Siti Sumijaty ◽  
Aang Ridwan

Tulisan ini bertujuan untuk mengetahui bagaimana pesan dakwah dikonstruksikan (dikemas) dalam karya sastra berupa novel bejudul Reem karya Sinta Yudisia. Metode penelitian menggunakan metode analisis wacana Teun A. Van Dijk untuk mengkaji struktur wacana dalam tataran teks. Analisis data kualitatif dilakukan terhadapsumber data yang diperoleh melalui studi dokumentasi, yakni membaca, menjelaskan teks cerita, dan menelaah pesan dakwah dalam novel Reem. Hasil penelitian menunjukkan pesan dakwah dalam novel Reem dikemas dalam tiga struktur wacana: (1) struktur makro berupa tema akidah, ayariah, akhlak, dan sejarah, (2) superstruktur berupa kerangka skematik yang terdiri dari pengenalan situasi, pengungkapan peristiwa, menuju pada konflik, puncak konflik, dan penyelesaian, (3) struktur mikro yang terdiri dari analisis semantik, sintaksis, stilistik, dan retoris. This paper aims to find out how message of da’wah are constructed in literary works in the form of a novel entitled Reem by Sinta Yudisia. The research method usees the Teun A. Van Dijk’s discourse analysis, which is to examine the structure of discourse at the level of the text. Qualitative data analysis was performed on the data sources obtained through the study of documentation, by reading, explaining the text of the story, and examining messages of da’wah in the Reem novels. The results shows the message of da’wah in Reem’s novel is formed by three discourse structures: (1) macro structure in the form of themes of aqidah, syariah, akhlah, and history, (2) superstructure in the form of a schematic framework which consists of an exposition, complication, rising action, turning point, resolution/ending, (3) micro structure consisting of semantic, syntactic, stylistic, and thetorical analysis


2020 ◽  
Vol 1 (1) ◽  
pp. 57
Author(s):  
Dhelima Putri Laksana ◽  
Dominikus Rato ◽  
Emi Zulaikha

This research aims to examine the legal phenomena of the application of the panai money, the cost imposed for the migrant Bugis customary law community in Sukabumi Village, Mayangan District, Probolinggo City, East Java. In other words, Panai' money is such customary money which must be handed over in Bugis tribal marriages. The data analysis method used is descriptive qualitative. Data collection techniques using literature study, observation, interviews, and documentation. The results of this study indicate that the submission of panai money has become a tradition that originated from an ancestor that is still valid today. Due to the high panai money, however, many of the Bugis people who wander no longer use panai money, as it takes into account the weakness of their customary values, as well as the many other cultures that influence, but there are still people who still defend it because of their strong customary values ​​which they still hold even though in the migrant area. Because panai money ’is a tradition that has long been a benchmark for Bugis people, this tradition still strongly considers moral sanctions, and the avoidance of this money is responded by some people to decide to elope. Keywords: Migrant Bugis Tribe, Marriage Law, Adat Law.


Author(s):  
Paul Mihas

Qualitative analysis—the analysis of textual, visual, or audio data—covers a spectrum from confirmation to exploration. Qualitative studies can be directed by a conceptual framework, suggesting, in part, a deductive thrust, or driven more by the data itself, suggesting an inductive process. Generic or basic qualitative research refers to an approach in which researchers are simply interested in solving a problem, effecting a change, or identifying relevant themes rather than attempting to position their work in a particular epistemological or ontological paradigm. Other qualitative traditions include grounded theory, narrative analysis, and phenomenology. Grounded theory encompasses several approaches, including objectivist and constructivist traditions, and commonly invites researchers to theorize a process and perhaps identify its contexts and consequences. Narrative analysis is an approach that treats stories not only as representations of events but as narrative events in themselves. Researchers using this approach analyze the form and content of narrative data and examine how these elements serve the storyteller and the story. Other elements often considered include plot, genre, character, values, resolutions, and motifs. Phenomenology is an approach designed to “open up” a phenomenon and make sense of its invariant structure, its identifiable essence across all narrative accounts. In this approach, the focus is on the lived experiences of those deeply familiar with the phenomenon and how they experience the phenomenon as they are going through it, before it is categorized and conceptualized. Each tradition has its own investigative emphasis and particular tools for analysis—specific approaches to coding, memo writing, and final products, such as diagrams, matrices, and condensed reports.


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