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vary with independent variable and effects the dependent variable ex: color confounded with sweetness bc color is varying with sweetness -Always confounded with independent variable |
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doesn't vary with the IV but could effect the DV -Random assignment prevents thrid variables from becoming confounding |
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causal relationship can be reversed -Drink alcohol bc depressed or drepres |
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Given two ties theories, go with the simpler one. -Occam's razor, Lloyd Morgan's canon |
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Inductive vs. Deductive reasoning |
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deductive: start with simple and go to specific ex: all american beers are gross -miller high life is gross- all beers must be inductive: specific to general bud light is gross bud light is american all american beers are gross |
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reliability: do you get the same measurement each time? validity: does it measure what it is intended to? |
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null: status quo/ opposite of your hypothesis -IV has no effect Alternative: means groups are not equal -IV does have an effect -observed differences reflect real difference |
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Incorrectly rejecting the null hypothesis when it is in fact correct (gullability) -assuming a drug your testing actually works when it doesnt |
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Saying null is ture when in fact it is false (blindness to relationship) |
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alpha of .05 is a balance between type 1 and type 2 if alpha is .50, more likely to do type 1 errors if alpha is .001 more likely to commit type 2 errors |
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select randomly from the whole population |
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stratified random sampling |
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create groups within the population and then randomly select same number from each group |
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proportional random sampling |
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same as stratified but you match proportion of groups in the sample to that in population |
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convenience: take whoever you can get ex- supermarket surveys Quota sampling: create groups with population (make up quota) and then take whoever you can get within these groups |
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between vs within designs |
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between: everybody gets one treatment within/repeated measures: everybody gets all treatments -Counterbalancing sometimes needed for within |
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factor: independent variable level: number of different conditions within a factor (different conditions of a particular independent variable) |
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Manipulation of the IV Control of extraneous variables -Held constant -Match levels of variable in all conditions -Random assignment |
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2 or more Independent variables 2x2 designs quasiexperimental |
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Overall effect of each independent variable |
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the effect of one independent variable on the DV -Depends on the level of the other independent variable |
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Organize and summarize data so easier to understand -describes data in a sample |
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makes inferences about the population based on sample |
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Measures the strength of relationship between two variables -value gives strength pos or neg |
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tests differences in continuous DV between 2 groups |
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tests differences in categorical DV between 2 groups -right vs. wrong, yes vs. no |
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lower p value, higher significance and less likely results occurred by chance |
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ways to keep science honest |
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Peer review Replication Database repositories |
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3 principles for belmont report |
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Respect for person Beneficence- benefit must out way risks Justice-equitable selection and recruitment and fair treatment of research subjects |
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Active vs. passive deception |
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Active: tell a lie Passive: dont tell participants some info |
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Confidentiality vs. Anonymity |
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confidentiality: know youre identification but wont be shared Anon: have your data but no id |
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concerned with proper vs improper |
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only show significant data, hide failures in the file drawer and dont publish them |
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The ethical issue requiring clinicians to provide the best possible treatment for their patients -Thus limiting research to studies that compare equally preferred treatments |
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The ethical principle requiring the investigator to provide all available info about a study so that a participant can make a rational, informed decision regarding whether to participate in a study. |
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