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Relationships Between Variables
Humans often behave in predictable ways. The challenge for social scientists is to uncover the patterns underlying that behavior. Social scientists do this by examining the relationships between variables. A communication variable is any observable, measurable, communication behavior, characteristic, or concept that can take on different values, intensities, or states. These variables are often studied in relationship to other communication variables or physiological, psychological, linguistic, relational, social, and cultural influences or consequences. This entry describes the kinds of relationships examined between those variables and the types of statistical tests used to analyze those relationships.
Types of Relationships
Relationships between variables can be described as null, covariant, or influential. The null predicts no relationship between variables. The variables function independently of each other. ...
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- Reaction Time
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- Reliability, Knuder-Richardson
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- Scales, Likert Statement
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- True Score
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- Computer-Assisted Qualitative Data Analysis Software (CAQDAS)
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- Statistical Power Analysis
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- Binomial Effect Size Display
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- Analysis of Variance Approaches
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- Organizational Communication
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- Passing
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- Peace Studies
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- Personal Relationship Studies
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- Pornography and Research
- Propaganda
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- Relational Dialectics Theory
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- Wartime Communication
- Structure of Research Community
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