Review Session - relationship between the IV&DV True...

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23:14 Discrete Variable: A type of variable that falls into separate bins with no intermediate values possible Hypothesis: a statement assumed to be true for the purpose of testing its validity. Nominal: a measure that simply divides objects/events into categories based on their similarities or differences Two Types of Validity Test Validity: the property of a measurement that test what it is supposed to test. o Calculus example Measurement Validity: indication of accuracy in terms of the extent to which a research conclusion corresponds with reality o Research Experiment o Effected when you have confounding variables Face Validity: idea that a test should appear superficially to test what it is supposed to test Internal Validity: extent to which a study provides evidence of a cause-effect
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Unformatted text preview: relationship between the IV&DV True Experiment: research procedure in which the scientist has complete control over all aspects Frequency distribution: a graph that shows the number of scores that fall into specific bins, or divisions of the variable Normal Curve: a bell-shaped curve Control: any means to rule out threats to the validity of research Variable: aspect of testing condition that can change or take on different characteristics with different conditions Empirical: a way to learn about human or animal behavior based on experience. T-Test: ANOVA Operational Definition: Construct Validity: extent to which the results support the theory behind the research Independent Variable Reliability:...
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This note was uploaded on 02/24/2010 for the course PSYCHOLOGY 100B taught by Professor Firstenberg,i. during the Spring '10 term at UCLA.

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