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Definitions for various terms related to inferential statistics and communication, including models, linear models, interactive and transactional models, laswell's five-factor model of communication, content analysis, surveys, longitudinal research, research outcomes, experiments, and types of experiments. It also discusses the pros and cons of each method.
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statistics concerned with making predictions or inferences about a population from observations and analysis of a sample TERM 2
DEFINITION 2 offers a graphic means of explicating an abstract process such as communication TERM 3
DEFINITION 3 based on the principles of stimulus response psychology, in which a receiver is affected by a message that emanates from a communication source TERM 4
DEFINITION 4 model stressing feedback and exchange TERM 5
DEFINITION 5 models that emphasize the interdependency of how messages are formulated, exchanged, and interpreted.
who says what in which channel to whom with what effect? TERM 7
DEFINITION 7 tells us how much of something we have tells us how content differs Pros: describes what's on, helps identify areas of interest and/or concern Cons: incomplete picture, no evidence of media's effects TERM 8
DEFINITION 8 assess the measurable characteristics of a naturally occurring population Pros: generality, good for description Cons: does not allow causality (cause), poor data quality TERM 9
DEFINITION 9 research observing outcomes at ore than one point in time Pros: can see change over time, rule out some alternate explanations Cons: validity threats, time and cost TERM 10
DEFINITION 10 what are the two types of longitudinal research?