Inferential Statistics and Communication: Terms and Definitions, Quizzes of Communication

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.

Typology: Quizzes

2012/2013

Uploaded on 02/06/2013

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TERM 1
inferential statistics
DEFINITION 1
statistics concerned with making predictions or inferences
about a population from observations and analysis of a
sample
TERM 2
model
DEFINITION 2
offers a graphic means of explicating an abstract process
such as communication
TERM 3
linear models
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
interactive model
DEFINITION 4
model stressing feedback and exchange
TERM 5
transactional model
DEFINITION 5
models that emphasize the interdependency of how
messages are formulated, exchanged, and interpreted.
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inferential statistics

statistics concerned with making predictions or inferences about a population from observations and analysis of a sample TERM 2

model

DEFINITION 2 offers a graphic means of explicating an abstract process such as communication TERM 3

linear models

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

interactive model

DEFINITION 4 model stressing feedback and exchange TERM 5

transactional model

DEFINITION 5 models that emphasize the interdependency of how messages are formulated, exchanged, and interpreted.

Laswell's Five-Factor Model of Communication

who says what in which channel to whom with what effect? TERM 7

content analysis

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

surveys

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

longitudinal research

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

panel study and cohort study

DEFINITION 10 what are the two types of longitudinal research?