Sampling is the use of a subset of the population to represent the whole population or to inform about (social) processes that are meaningful beyond the particular cases, individuals or sites studied. Probability sampling, or random sampling, is a sampling technique in which the probability of getting any particular sample may be calculated. In cases where external validity is not of critical importance to the study's goals or purpose, researchers might prefer to use nonprobability sampling. Nonprobability sampling does not meet this criterion. Nonprobability sampling techniques are not intended to be used to infer from the sample to the general population in statistical terms. Instead, for example, grounded theory can be produced through iterative nonprobability sampling until theoretical saturation is reached.
A case study is an in-depth, detailed examination of a particular case within a real-world context. For example, case studies in medicine may focus on an individual patient or ailment; case studies in business might cover a particular firm's strategy or a broader market; similarly, case studies in politics can range from a narrow happening over time like the operations of a specific political campaign, to an enormous undertaking like world war, or more often the policy analysis of real-world problems affecting multiple stakeholders.
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 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.
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.
In research design, especially in psychology, social sciences, life sciences and physics, operationalization or operationalisation is a process of defining the measurement of a phenomenon which is not directly measurable, though its existence is inferred from other phenomena. Operationalization thus defines a fuzzy concept so as to make it clearly distinguishable, measurable, and understandable by empirical observation. In a broader sense, it defines the extension of a concept—describing what is and is not an instance of that concept. For example, in medicine, the phenomenon of health might be operationalized by one or more indicators like body mass index or tobacco smoking. As another example, in visual processing the presence of a certain object in the environment could be inferred by measuring specific features of the light it reflects. In these examples, the phenomena are difficult to directly observe and measure because they are general/abstract or they are latent. Operationalization helps infer the existence, and some elements of the extension, of the phenomena of interest by means of some observable and measurable effects they have.
Autoethnography is a form of ethnographic research in which a researcher connects personal experiences to wider cultural, political, and social meanings and understandings. It is considered a form of qualitative and/or arts-based research.
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.
In the social sciences, triangulation refers to the application and combination of several research methods in the study of the same phenomenon. By combining multiple observers, theories, methods, and empirical materials, researchers hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer, and single-theory studies.
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. Axial coding in grounded theory is the process of relating codes to each other, via a combination of inductive and deductive thinking. The basic framework of generic relationships is understood, according to Strauss and Corbin who propose the use of a "coding paradigm", to include categories related to (1) the phenomenon under study, (2) the conditions related to that phenomenon, (3) the actions and interactional strategies directed at managing or handling the phenomenon and (4) the consequences of the actions/interactions related to the phenomenon. As Kelle underlines, the implicit or explicit theoretical framework necessary to identify categories in empirical data is derived, in the procedures explicated by Strauss and Corbin (1990), from a "general model of action rooted in pragmatist and interactionist social theory". This model or theoretical framework underlines the importance of "analysing and modelling action and interaction strategies of the actors". Axial coding is a cornerstone of Strauss and Corbin's approach but is regarded by Charmaz (2006) as highly structured and optional.
Interpretative phenomenological analysis (IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation. Usually, these situations are of personal significance; examples might include a major life event, or the development of an important relationship. IPA has its theoretical origins in phenomenology and hermeneutics, and many of its key ideas are inspired by the work of Edmund Husserl, Martin Heidegger, and Maurice Merleau-Ponty. IPA's tendency to combine psychological, interpretative, and idiographic elements is what distinguishes it from other approaches to qualitative, phenomenological psychology.
In the social sciences, coding is an analytical process in which data, in both quantitative form or qualitative form are categorized to facilitate analysis.
A research question is "a question that a research project sets out to answer". Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific.
An unstructured interview or non-directive interview is an interview in which questions are not prearranged. These non-directive interviews are considered to be the opposite of a structured interview which offers a set amount of standardized questions. The form of the unstructured interview varies widely, with some questions being prepared in advance in relation to a topic that the researcher or interviewer wishes to cover. They tend to be more informal and free flowing than a structured interview, much like an everyday conversation. Probing is seen to be the part of the research process that differentiates the in-depth, unstructured interview from an everyday conversation. This nature of conversation allows for spontaneity and for questions to develop during the course of the interview, which are based on the interviewees' responses. The chief feature of the unstructured interview is the idea of probe questions that are designed to be as open as possible. It is a qualitative research method and accordingly prioritizes validity and the depth of the interviewees' answers. One of the potential drawbacks is the loss of reliability, thereby making it more difficult to draw patterns among interviewees' responses in comparison to structured interviews. Unstructured interviews are used in a variety of fields and circumstances, ranging from research in social sciences, such as sociology, to college and job interviews. Fontana and Frey have identified three types of in depth, ethnographic, unstructured interviews - oral history, creative interviews, and post-modern interviews.
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.
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 describe their own widely used approach first outlined in 2006 in the journal Qualitative Research in Psychology as reflexive thematic analysis. Their 2006 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.
Online content analysis or online textual analysis refers to a collection of research techniques used to describe and make inferences about online material through systematic coding and interpretation. Online content analysis is a form of content analysis for analysis of Internet-based communication.
