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| it's true because its always been true |
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| something is true because it is self evident (resist efforts to test advertising methods) |
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| belief is something because of a trusted source; parent or teacher |
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| general areas of investigation |
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| testable statements about relationship variables |
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| variable that creates a possible but incorrect explanation of results |
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| must be selected randomly and tested for homogeneity to ensure results are not due to type of sample used |
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| systematically varied by researcher "causes" dependent effect |
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| are observed and valued presumed to depend on effects of the independent variable |
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| classify people or objects by name or number. Social, license |
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| ranked smallesg to largest (horserace with out stop watch) |
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| numbers used but no true zero. Temperature and IQ. Can't say twice as intelligent. |
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| same as interval but true zero. |
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| consistency of your measure |
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| are we measuring what we think we are measuring |
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| appears to measure waht we think its measuring |
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| check measure against existing and similar measures |
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| if predictor relates to outcome as expected |
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| choose groups known to possess property in question-give to another group not known to have property then compare |
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| 3 ways to check reliability |
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stability=test/retest (1 test given at two different times) internal consistency= all items measuring same concept equivalancy=two parallel forms |
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1.0 is perfect .90-.80 very good reliability .79-.70 good/fair under .70=not good |
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| 3 ways to increase reliability |
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increase # of items in measure reduce the ambiguity of your items discard "bad" items |
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| all the elements pertinent to a study |
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| that from which a sample will be taken |
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| randomly selected and equal chance |
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| chosen o the basis of same type of criteria |
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| simple random sample, systematic random sample, stratified random, plus 1 random sampling, random digit dialing |
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| numerical characteristics of a sample (we know) |
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| numerical characteristics of a population (we never know this) |
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| the probability that a given interval actually contains the true pop parameter (68% probability) |
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| an interval within which we think the true population parameter lies |
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