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30 Cards in this Set
- Front
- Back
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Sample
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people that were studied
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Population
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Larger group of people
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Observational Study
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Study that just observes things about our study but provides no scientific information
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Randomized Experiment
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When people are randomly selected for an experiment
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Seven Critical Components
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Source/funding, researchers who had contact with participants, individuals and selection, measurements questions, setting, differences in group, extent or size
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Component 1
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Considering the source and funding of the experiment itself
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Component 2
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Considering the researchers who had contact with the participants
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Component 3
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Considers the invidiuals studied and how they were selected.
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Component 4
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Asks you to look at the exact measurements and their nature and how the questions were asked.
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Component 5
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Looks at the setting where the measurements were taken.
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Component 6
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Suggests looking at the difference between the groups compared.
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Component 7
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Asks to look at the extent or size of claimed effects or difference
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Deliberate Bias
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Questions being worded a certain way to ellicit certain responses... "Do you agree that..."
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Unintentional Bias
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Questions being unintentionally worded a certain way that is misinterpretted
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Order of Questions
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Order of questions can affect responses given.
eg. alcohol. |
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Categorical Variables
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Can be placed into a category but have no logical order -- like gender.
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Measurement Variables
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Variables because we can get a numerical value for them
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Continuous Measurement Variable
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Number with a decimal
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Discrete Measurement
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Solid, whole number
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Valid Measurement
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Measurement that actually claims to measure what it measures. Can't measure happiness with IQ test.
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Reliable Measurement
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Measurement that will give anyone same measurement time and time again.
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Sample Surveys
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survey a subgroup of a large population.
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Meta-Analysis
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Put a bunch of data together into one big survey.
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Margin of error
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margin of accuracy--figred by taking sq route of number sampled, divind by 1 and then subtracting percentage from top and bottom
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Different types of probability sampling
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Simple Random Sample, Stratified Random Sample, Cluster Sampling, Systematic Sampling, and Random Digit Sampling
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Stratafied Random Sampling
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Dividing the popualation into groups and then taking simple random sample from each
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Cluster Sampling
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Breaks pop into groups -- randomly survey GROUPS within that.
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Systematic Sampling
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Every 50th on the list
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Problems in sampling
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Using wrong sampling frame -- Sample Frame is actual list of peopleyou were chosing.
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Conveinance Sample
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Using the most conveint group available.
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