![]() Main window in RQDA | |
Developer(s) | Huang Ronggui |
---|---|
Final release | 0.3-1 / Mar 2018 |
Repository | |
Operating system | Microsoft Windows, Linux, macOS |
Type | Qualitative Data Analysis Qualitative Research |
License | New BSD license |
Website | rqda |
RQDA is an R package for computer-assisted qualitative data analysis or CAQDAS, making it one of the few open source tools to assist qualitative coding of textual data. Note that there are also other popular but mostly proprietary CAQDAS tools such as NVivo and Atlas.ti but these software come at a cost. RQDA was developed by Huang Ronggui during his PhD study at the City University of Hong Kong, which he still maintains until today.
RQDA is installable from, and runs within, the R statistical software, but has a separate window running a graphical user interface (through RGtk2). RQDA's approach allowed for tight integration of the constructivist approach of qualitative research with quantitative data analysis which can increase the rigor, transparency, and validity of qualitative research. [1] .
The use of RQDA is best grounded in the tradition of qualitative research where the main function of CAQDAS is to assist with the "coding" of textual data. The data could be a word (e.g., society), a concept (e.g., "social entrepreneurship"), a phrase (e.g., social entrepreneurship is a hybrid of commercial and social welfare logics), to a sentence or paragraph (e.g., "social enterprise concerns citizen-driven initiatives that aim to create public value. While the idea of social enterprise emerged officially since the 1980s, its actual practice predated to the tribal era where humans engaged in economic activities while simultaneously aiming to create collective social outcomes").
Researchers and analysts typically use RQDA using two types of coding approaches: inductive and deductive. In inductive coding, a researcher codes a body of text "from the ground up". That is, the textual units that are coded are not pre-determined by specific theory/literature/concepts but the texts are coded to discover new concepts/ideas/theories to emerge from the body of textual data. Meanwhile, in deductive coding, a researcher starts from a pre-specified framework/theory/literature and coded a body of textual data to confirm that such theory or concepts do exist in the data. The former is exploratory (to discover new concepts or ideas) and one does not care how many times (the frequency) a new concept occurs, while the latter is confirmatory (to unearth something new) and takes into account how many times a concept occurs in the body of text.
The use of CAQDAS for textual data coding should be grounded in the tradition in qualitative research. One notable example is the grounded theory approach by Corbin and Strauss [2] (1990). See also grounded theory by Glaser and Strauss [3] (2017).
One book on RQDA offers a systematic demonstration [4] of its use by grounding it in on a systematic and structured approach in doing qualitative inductive coding a la Dennis Gioia, or known as the Gioia Methodology [5] . This methodology has gained popularity in various fields, from management and organization studies, marketing, to public administration. This book contains multiple parts, some of the key components are: an overview [6] of qualitative research, an overview of CAQDAS [7] , how to conduct [8] CAQDAS based qualitative research, how to do inductive [9] coding, how to use data attributes and memos [10] , how to aggregate [11] or abstract codes to a higher level and visualizing them, and finally, how to reach closure in the analysis by formulating a grounded theory [12] from the codes.
In the graphical interface it had the following functions:
Through use of R functions, it could:
The project was abandoned because of orphaned upstream packages. [13]
In information science, formal concept analysis (FCA) is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties. Each concept in the hierarchy represents the objects sharing some set of properties; and each sub-concept in the hierarchy represents a subset of the objects in the concepts above it. The term was introduced by Rudolf Wille in 1981, and builds on the mathematical theory of lattices and ordered sets that was developed by Garrett Birkhoff and others in the 1930s.
Minimum Description Length (MDL) is a model selection principle where the shortest description of the data is the best model. MDL methods learn through a data compression perspective and are sometimes described as mathematical applications of Occam's razor. The MDL principle can be extended to other forms of inductive inference and learning, for example to estimation and sequential prediction, without explicitly identifying a single model of the data.
Participant observation is one type of data collection method by practitioner-scholars typically used in qualitative research and ethnography. This type of methodology is employed in many disciplines, particularly anthropology, sociology, communication studies, human geography, and social psychology. Its aim is to gain a close and intimate familiarity with a given group of individuals and their practices through an intensive involvement with people in their cultural environment, usually over an extended period of time.
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or field observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic. It is particularly useful when researchers want to understand the meaning that people attach to their experiences or when they want to uncover the underlying reasons for people's behavior. Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis. Qualitative research methods have been used in sociology, anthropology, political science, psychology, communication studies, social work, folklore, educational research, information science and software engineering research.
Social research is research conducted by social scientists following a systematic plan. Social research methodologies can be classified as quantitative and qualitative.
Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. One of the key advantages of using content analysis to analyse social phenomena is their non-invasive nature, in contrast to simulating social experiences or collecting survey answers.
In its most common sense, methodology is the study of research methods. However, the term can also refer to the methods themselves or to the philosophical discussion of associated background assumptions. A method is a structured procedure for bringing about a certain goal, like acquiring knowledge or verifying knowledge claims. This normally involves various steps, like choosing a sample, collecting data from this sample, and interpreting the data. The study of methods concerns a detailed description and analysis of these processes. It includes evaluative aspects by comparing different methods. This way, it is assessed what advantages and disadvantages they have and for what research goals they may be used. These descriptions and evaluations depend on philosophical background assumptions. Examples are how to conceptualize the studied phenomena and what constitutes evidence for or against them. When understood in the widest sense, methodology also includes the discussion of these more abstract issues.
Grounded theory is a systematic methodology that has been largely applied to qualitative research conducted by social scientists. The methodology involves the construction of hypotheses and theories through the collecting and analysis of data. Grounded theory involves the application of inductive reasoning. The methodology contrasts with the hypothetico-deductive model used in traditional scientific research.
Exploratory research is "the preliminary research to clarify the exact nature of the problem to be solved." It is used to ensure additional research is taken into consideration during an experiment as well as determining research priorities, collecting data and honing in on certain subjects which may be difficult to take note of without exploratory research. It can include techniques, such as:
Theoretical sampling is a process of data collection for generating theory whereby the analyst jointly collects codes and analyses data and decides what data to collect next and where to find them, in order to develop a theory as it emerges. The initial stage of data collection depends largely on a general subject or problem area, which is based on the analyst's general perspective of the subject area. The initial decisions are not based on a preconceived theoretical framework. The researcher begins by identifying some key concepts and features which they will research about. This gives a foundation for the research. A researcher must be theoretically sensitive so that a theory can be conceptualized and formulated as it emerges from the data being collected. Caution must be taken so as to not limit oneself to specific aspects of a theory; this will make a researcher blind towards other concepts and aspects of the theory. The main question in this method of sampling is this: what groups should the researcher turn to next in the data collection process, and why?
Axial coding is the breaking down of core themes during qualitative data analysis.
ATLAS.ti is a computer-assisted qualitative data analysis software that facilitates analysis of qualitative data for qualitative research, quantitative research, and mixed methods research.
In the social sciences, coding is an analytical process in which data, in both quantitative form or qualitative form are categorized to facilitate analysis.
MAXQDA is a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. It is being developed and distributed by VERBI Software based in Berlin, Germany.
Aquad is open source computer-assisted qualitative data analysis software (CAQDAS). It supports analysis of text, audio, video, and graphical data.
Thematic analysis is one of the most common forms of analysis within qualitative research. It emphasizes identifying, analysing and interpreting patterns of meaning within qualitative data. Thematic analysis is often understood as a method or technique in contrast to most other qualitative analytic approaches – such as grounded theory, discourse analysis, narrative analysis and interpretative phenomenological analysis – which can be described as methodologies or theoretically informed frameworks for research. Thematic analysis is best thought of as an umbrella term for a variety of different approaches, rather than a singular method. Different versions of thematic analysis are underpinned by different philosophical and conceptual assumptions and are divergent in terms of procedure. Leading thematic analysis proponents, psychologists Virginia Braun and Victoria Clarke distinguish between three main types of thematic analysis: coding reliability approaches, code book approaches and reflexive approaches. They first described their own widely used approach in 2006 in the journal Qualitative Research in Psychology as reflexive thematic analysis. This paper has over 120,000 Google Scholar citations and according to Google Scholar is the most cited academic paper published in 2006. The popularity of this paper exemplifies the growing interest in thematic analysis as a distinct method.
Based in grounded theory, open coding is the analytic process through which concepts (codes) are attached to observed data and phenomena during qualitative data analysis. It is one of the techniques described by Strauss (1987) and Strauss and Corbin (1990) for working with text. Open coding attempts to codify, name or classifying the observed phenomenon and is achieved by segmenting data into meaningful expressions and describing that data with a single word or short sequence of words. Relevant annotations and concepts are then attached to these expressions.
Cassandre is a free open source software for computer assisted qualitative data analysis and interpretation in humanities and social sciences. Although it refers, like other CAQDAS-software, to Grounded Theory Method, it also allows to conduct discourse analysis or quantitative content analysis. The software is designed as a server to support collaborative work. Formerly focused on semi-automatic coding, it now provides diaries assisting qualitative analysis.
Quirkos is a CAQDAS software package for the qualitative analysis of text data, commonly used in social science. It provides a graphical interface in which the nodes or themes of analysis are represented by bubbles. It is designed primarily for new and non-academic users of qualitative data, to allow them to quickly learn the basics of qualitative data analysis. Although simpler to use, it lacks some of the features present in other commercial CAQDAS packages such as multimedia support. However, it has been proposed as a useful tool for lay and participant led analysis and is comparatively affordable. It is developed by Edinburgh, UK based Quirkos Software, and was first released in October 2014.
Biographical research is a qualitative research approach aligned to the social interpretive paradigm of research. The biographical research is concerned with the reconstruction of life histories and the constitution of meaning based on biographical narratives and documents. The material for analysis consists of interview protocols (memorandums), video recordings, photographs, and a diversity of sources. These documents are evaluated and interpreted according to specific rules and criteria. The starting point for this approach is the understanding of an individual biography in terms of its social constitution. The biographical approach was influenced by the symbolic interactionism, the phenomenological sociology of knowledge, and ethnomethodology. Therefore, biography is understood in terms of a social construct and the reconstruction of biographies can give insight on social processes and figurations, thus helping to bridge the gap between micro-, meso-, and macro- levels of analysis. The biographical approach is particularly important in German sociology. This approach is used in the Social Sciences as well as in Pedagogy and other disciplines. The Research Committee 38 "Biography and Society" of the International Sociological Association (ISA) was created in 1984 and is dedicated "to help develop a better understanding of the relations between individual lives, the social structures and historical processes within which they take shape and which they contribute to shape, and the individual accounts of biographical experience ".