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Examines characteristics of a single sample In a living sample |
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Examines differences in variables in two or more groups In natural setting Results: not generalizable to a population |
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Longitudinal vs. cross-sectional Prospective vs. retrospective |
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Determines the strength and type of relationships between two or more variables No cause and effect Types: -Descriptive correlational design -Predictive correlational design -Model testing design |
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Describe relationships between or among variables? |
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Descriptive correlational design |
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Predict relationships between or among variables? |
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Predictive correlational design |
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Test theoretically proposed relationships |
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Causality Highly controlled, objective, systematic studies Involves the measurement of independent variable and dependent variables Main characteristics: -Controlled manipulation of independent variable -Uses experimental and control groups -Random assignment |
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True experimental design (RCT) |
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Level 2 evidence Randomization: -Equal chance of being assigned the groups -Increases the likelihood of differences in outcomes between groups are not related to chance alone Control: -Control/comparison group -Control of experimental situations and settings -Control of variance Manipulation: -Implementing an intervention |
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Quasi-experimental designs |
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Test cause-and-effect relationships Randomization? No control group Pretest and posttest Nonequivalent dependent variables design Level 3 evidence |
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Describe the purpose of experimental and quasi-experimental research. |
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The researcher actively intervenes to bring about the desired effect and does not passively observe behaviors or actions. They provide levels 2 and 3 evidence which is the highest levels for a single study. Experimental design=testing cause and effect relationships |
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