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25 Cards in this Set
- Front
- Back
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how is a journal's impact measured?
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by the Journal Impact Factor (the # of times an article has been cited in other publications)
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theories?
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organized set of assumptions designed to explain a phenomena
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hypotheses?
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attempting to predict or account for a set of phenomena; specify interrelations among them and are empirically tested
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operational definitions?
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define terms in hypotheses by specifying the operations for observing them.
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reliability: test-retest reliability?
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are scores similar from one session to the next
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reliability: alternate-forms reliability?
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are scores similar on a diff version of the test
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reliability?
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consistency
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validity?
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the ability of a test to measure what it is designed to measure
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content validity?
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do items broadly represent the trait in question
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criterion validity?
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do the test results predict other measures of the trait
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representative sample?
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group of subjects selected from the population for a study which matches the population on important characteristics such as age and sex
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volunteer bias?
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volunteers who participate may differ from those who did not volunteer
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correlational studies?
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descriptive studies that look for a consistent relationship b/w 2 phenomena
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experiment?
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controlled test of a hypothesis which the researcher manipulates one variable to discover its effect on another
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variable?
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characteristic of behavior/experience that can be measured by a numeric scale
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experimenter bias?
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unintended change in subjects behavior due to cues inadvertently given by experimenter
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single blind study?
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the subject doesnt know to which experimental group he/she is assigned to (experiment knows)
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double blind study?
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neither experiment nor subject knows to which group the subjects are assigned
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descriptive stats?
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stat procedure that organizes and summarizes reseach data
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inferential stats?
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stat procedure that allow researchers to draw inferences about how statistically meaningful a study's results are
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significance test? (inferential stats)
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stat tests that show how likely a study's results occurred merely by chance
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alpha error?
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what were the chances that you find a result which is not present in the population
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beta error?
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what were the chances that you didnt find a significant effect even if it was present in your population
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power (1-beta)?
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what were the chances to find a significant effect given your sample size
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probabilities in psyc?
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determines the likelihood with which a result can be expected to occur
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