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The input–process–output model. The input–process–output (IPO) model, or input-process-output pattern, is a widely used approach in systems analysis and software engineering for describing the structure of an information processing program or other process. Many introductory programming and systems analysis texts introduce this as the ...
Processes are operations and activities that mediate the relationship between the input factors and the team's outcomes. [2] Processes include group norms, as well as a group’s decision making process, level of communication, coordination, and cohesion. [1] Specifically, processes can be things such as: Steps taken to plan activities ...
HIPO model (hierarchical input process output model) is a systems analysis design aid and documentation technique from the 1970s, [1] used for representing the modules of a system as a hierarchy and for documenting each module.
The context-input-process-output (CIPO) model is a basic systems model of school functioning, which can be applied to several levels within education, namely system level, school level and classroom level. [1] The model also functions as analytical framework through which the educational quality can be reviewed. [2]
The uncertainty on the output is described via uncertainty analysis (represented pdf on the output) and their relative importance is quantified via sensitivity analysis (represented by pie charts showing the proportion that each source of uncertainty contributes to the total uncertainty of the output). The object of study for sensitivity ...
Process. The process (function, transformation) is part of a system that transforms inputs to outputs. The symbol of a process is a circle, an oval, a rectangle or a rectangle with rounded corners (according to the type of notation). The process is named in one word, a short sentence, or a phrase that is clearly to express its essence. [7] Data ...
However, certain conditions must be met before the replication of the experiment is commenced: the original research question has been published in a peer-reviewed journal or widely cited, the researcher is independent of the original experiment, the researcher must first try to replicate the original findings using the original data, and the ...
The understanding of a black box is based on the "explanatory principle", the hypothesis of a causal relation between the input and the output. This principle states that input and output are distinct, that the system has observable (and relatable) inputs and outputs and that the system is black to the observer (non-openable). [9]