Comm. Research Final
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Participants might change their actions if they know they are being watched.
If observers know which is control vs. experimental group - They may skew data.
Researcher Attribute Effect
Unchangeable (like gender)
Observing people infuences their actions. Make observations less "in your face"
Participants primes for what is being tested.
People change over time, these effect the result of the study.
Experimental Mortality Effect
Participants drop out of before the study is complete.
Selection Bias Effect
When groups are not the same at the beginning.
When participants are influenced by one another.
Compensating for the missing stimulus by working harder
Feelings of depravation in control group may result in their giving up.
Anything that is going on outside of your study that may effect the outcomes.
No reliable sclae = not valid. Real instruments need to be callibrated.
- 1 group that is pretested and is a control
- 1 group that isnt pretested and is a control
- 1 group that is pretested and is an experimental
- 1 group that isnt pretested and is an experimental
Maximize the independent variable.
Control extraneous variables
Minimize error variance
What are several of the causes of low inter-rater reliability?
- Definition problems.
- Ineffecient Coding Rules.
- Coder Drift.
Name and define 3 criteria for constructing/evaluating coding rules?
- Mutually exclusive: no code can fall into multiple categories.
- Exhaustive: Rules for everything
- About equivalent:
What would you like to do?
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