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27 Cards in this Set
- Front
- Back
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Bias
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IF a certain outcomes are systematically favored
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Census
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A sample that consists of the entire population
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Confounding
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When explanatory and lurking variables are not distinguishable on the response variable.
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Control Group
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Where we control lurking variables and there is no treatment imposed
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Convenience Sample
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Easiest to reach
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Design
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Method used to choose a sample
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Double-Blind
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The experimenter and the subject are not aware of which treatment group the subject belongs
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Experiment
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Actively imposing a treatment
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Experimental Units
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Individuals the experiment is performed on
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Factors
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Explanatory variables in a treatment
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Levels
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Formed by combing different amounts of factors
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Multistage Sample
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Break strata's down to have a strata within a strata
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Non response
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A chosen individual can't be contacted or refuses to cooperate
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Observational Study
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Observe individuals and measure variables of interest but does not attempt to influence the responses
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Placebo
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Dummy treatment that has no physical effect
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Population
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The entire group we want info about
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Portability Sample
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Gives each member of the population a known chance to be selected
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Replication
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Repeat treatments on large numbers of experimental units to see effects of treatments
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Response Bias
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Lying when asked about illegal or unpopular behavior
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Sample
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Study a part in order to gain info on an entire group; the bigger the sample, the more likely the results will be accurate
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Simple Random Sample (SRS)
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Every set of individuals has an equal chance to be selected
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Statistical Significance
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An observed effect too large to be attributed to chance
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Subjects
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Human experimental condition applied to the units
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Treatment
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Specific experimental condition applied to the units
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Under coverage
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Some groups are left out of the population
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Voluntary Response
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People who choose to respond to a general appeal
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Wording Effects
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Confusing or leading
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