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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 .
A phenomenological model forgoes any attempt to explain why the variables interact the way they do, and simply attempts to describe the relationship, with the assumption that the relationship extends past the measured values. [1] [page needed] Regression analysis is sometimes used to create statistical models that serve as phenomenological models.
Data flow diagram with data storage, data flows, function and interface. A data-flow diagram is a way of representing a flow of data through a process or a system (usually an information system). The DFD also provides information about the outputs and inputs of each entity and the process itself.
A Warnier/Orr diagram (also known as a logical construction of a program/system) is a kind of hierarchical flowchart that allows the description of the organization of data and procedures. They were initially developed 1976, [ 1 ] in France by Jean-Dominique Warnier [ 2 ] and in the United States by Kenneth Orr [ 3 ] on the foundation of ...
A phenomenographic data analysis sorts qualitatively distinct perceptions which emerge from the data collected into specific "categories of description." [1] [2] [3] [8] The set of these categories is sometimes referred to as an "outcome space." These categories (and the underlying structure) become the phenomenographic essence of the ...
The descriptive phenomenological method in psychology [1] [2] was developed by the American psychologist Amedeo Giorgi in the early 1970s. Giorgi based his method on principles laid out by philosophers like Edmund Husserl and Maurice Merleau-Ponty as well as what he had learned from his prior professional experience in psychophysics. [ 3 ]
Construction of an information flow diagram requires the knowledge of different information sources and the connections between them. The sources and targets of information flow are one of the following: actor, use case, node, artefact, class, component, port, property, interface, package, activity node, activity partition, or instance specification.
A canonical example of a data-flow analysis is reaching definitions. A simple way to perform data-flow analysis of programs is to set up data-flow equations for each node of the control-flow graph and solve them by repeatedly calculating the output from the input locally at each node until the whole system stabilizes, i.e., it reaches a fixpoint.