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Variables
something that varies, must have two levels/conditions/values
Level of a variable
has to have at least two levels
Measured variables
levels are simply observed and recorded
manipulated variable
what is changed or controlled in a study
Constant
something that could potentially vary but that has only one level in the study in question
Conceptual variable
abstract, theoretical concepts; also called constructs and conceptual definitions
ex: spending time socializing
Operation
to turn a conceptual defintion into a measured or manipulated variable
ex:how often somone socializes with friends
Frequency claim
describes a particular rate or degree of a single variable
ex: 4 out of 5 dentists recommend trident or middle school studetns see 2 to 4 alcohol ads a day
Association claim
argues that one level of a variable is likely to be associated with another level
ex: peoplewith high incomes spend less time socializing
Causal claim
one of the variables is responsible for changing the other
ex: music lessons inhance IQ, music lessons may inhance IQ
Correlate
when one variable changes, the other variable tends to change, too
Correlational study
the variables are measured and the relationship between them is tested; can support an association claim
Positive correlation
high goes with high and low goes with low
negative correlation
high goes with low and low goes with high
zero correlation
no association between the variables
Validity
appropriateness of a conclusion or decision
Construct validity
how well a conceptual variable is operationalized
Generalizability
the extent to which the subjects of a study represent the population
External validity
how well the results of a study generalize to, or represent, people or contexts besides those in the original study
Statistical validity
the extent to which the data support the conclusion
Margin of error of the estimate
confidnece interval; a range designed to include the true population value a high proportion of the time
Type 1 error
when nothing is there based on the entire pop. but the research saw something in the conclusion
Type 2 Error
when something is therebut the research doesn’t see anything
Covariance
the extent to which two variables are observed to go together, is established by the results of a study
Temporal precedence
the method was designed so that the causal variable clearly comes first in time, before the effect variable
cause comes before effect
Internal validity
can elimainate alternative explanations