Methods & Techniques
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Group to generalize to | Population
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Subset of the population. | Sample
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the fact researcher is interested in explaining | Dependant Variable
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variable used to explain the one dependent or causally prior to dependent variable. | Independent Variable
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When experimenter can intentionally create variation in independent variable (ie. amount of funding) | Manipulation
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Rival explanations for behavior of dependent variable. | Confounding Variable
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units observations are made (regions, municipalities, etc) | Subjects
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Set of data with which treatment group is compared. | Control
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Subjects have equal chance of being assigned to treatment group or control group-purely by chance. | Randomization
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Program rather than other factor caused results. | Internal Validity
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Can the effect be expected under similar conditions in other settings. | External Validity
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Convenience sampling-those accessible; volunteer sampling - volunteers-OK for descriptive results, may be bias, not representative of population | non-probability sampling
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Individual has equal chance of being selected for sample | Simple random (probability sampling)
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every Xth individual selected form list, starting randomly chosen point | Systematic (probability sampling)
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Population may have 2 or more groups in study-provides best results; ensures even coverage of population; maintains random selection probabilities. | Stratified (probability sampling)
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Used when stratified or simple random sampling would be difficult and/or expensive. | Cluster (probability sampling)
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As ______increases, standard error decreases | Sample size
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Created by:
Sandy1101