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Another contrast is between linear and non-linear models. Most early models of communication are linear models. They present communication as a unidirectional process in which messages flow from the communicator to the audience. Non-linear models, on the other hand, are multi-directional: messages are sent back and forth between participants.
The SMCR model is usually described as a linear transmission model of communication. [4] [17] Its main focus is to identify the basic parts of communication and to show how their characteristics shape the communicative process. In this regard, Berlo understands his model as "a model of the ingredients of communication". [24]
A model of communication is a simplified presentation that aims to give a basic explanation of the process by highlighting its most fundamental characteristics and components. [16] [8] [17] For example, James Watson and Anne Hill see Lasswell's model as a mere questioning device and not as a full model of communication. [10]
The AIDA marketing model is a model within the class known as hierarchy of effects models or hierarchical models, all of which imply that consumers move through a series of steps or stages when they make purchase decisions. These models are linear, sequential models built on an assumption that consumers move through a series of cognitive ...
Schramm's model of communication was published by Wilbur Schramm in 1954. It is one of the earliest interaction models of communication. [1] [2] [3] It was conceived as a response to and an improvement over earlier attempts in the form of linear transmission models, like the Shannon–Weaver model and Lasswell's model.
Barnlund's model is an influential transactional model of communication. It was first published by Dean Barnlund in 1970. It is formulated as an attempt to overcome the limitations of earlier models of communication. In this regard, it rejects the idea that communication consists in the transmission of ideas from a sender to a receiver.
An example of a linear time series model is an autoregressive moving average model.Here the model for values {} in a time series can be written in the form = + + = + =. where again the quantities are random variables representing innovations which are new random effects that appear at a certain time but also affect values of at later times.
In systems theory, a linear system is a mathematical model of a system based on the use of a linear operator. Linear systems typically exhibit features and properties that are much simpler than the nonlinear case.