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variable
something that varies, must have at least two levels (values)
constant
something that does not vary (within our study) it only has one level
conceptual variable
an abstract entity that we know exists, but is nontangible, often talked about in an abstract way
conceptual definition
theoretical definition that we give to the conceptual variable
operational definition
a particular way a conceptual variable is defined that allows it to be measured or manipulated with a tangible metric
measured variable
something that we are measuring as it naturally occurs, a variable whose levels are simply observed, and then recorded
manipulated variables
a variable a researcher controls or influences, usually by assigning participants to a particular level of a variable
claim
an argument someone is trying to make
frequency claims
describes a particular rate or degree of a single variable, always measured
association claims
argue that one level of a variable is likely to be associated with a particular level of another variable
positive association
as one increases the other increases, or as one decreases, the other decreases
negative association
as one increases the other decreases, or, as one decreases the other increases
zero association
no relationship between variables (or an insignificant relationship)
causal claims
argues that one variable is responsible for changes in another variable
validity
the appropriateness of a conclusion or a decision; reasonable, accurate, justifiable
internal validity
a study’s ability to rule out alternative explanations for a causal relationship between two variables
covariance
the measured variable (outcome variable) must change as the causal variable changes
temporal precedence
the causal variable must come first, and the outcome variable after
internal validity
alternative causal explanations must be ruled out
construct validity
how well a variable is measured or manipulated
external validity
how well we can generalize the results of this study to other people or contexts
statistical validity
the extent of a study’s statistical conclusions are precise, reasonable, and replicable
point estimate
an estimate of a value in the population
confidence interval
a range designed to include the true population value a high proportion of the time
observational measures
record observable behaviors or physical traces of behavior
self-report measures
operationalize behavior by recording people’s answers to questions about themselves
physiological measures
record biological data
nominal scale
numbers serve only as labels, no numerical meaning, describes categories
ordinal scale
ranking the order of data, differences between values are not equal
interval scale
ordered scale with equal intervals throughout, no meaningful zero
ratio scale
ordered scale with equal intervals throughout, contains a meaningful zero
reliability
the consistency of the measuring technique, how consistent a measurement is, or whether the results can be reproduced under the same conditions
test-retest reliability
consistency of responses on the same measure over time
internal reliability
the degree that all items (or questions) in a scale asses the same construct
Cronbach’s alpha coefficient
correlation based on statistic that measures a scale’s internal reliability
interrater reliability
the degree to which two or more observers give consistent ratings of a set of targets
criterion-related validity
does the measure allow you to distinguish people based on a particular behavioral outcome?
concurrent validity
your measure and the behavioral outcome measure are administered at the same time
predictive validity
your measure is administered before the behavioral outcome measure is taken
convergent validity
comparing our new measures to another measure. Does our measure positively correlate with other measures that are assessing similar constructs?
discriminant validity
does our measure only weakly relate (or have no relationship) to other measures that have little/nothing to do with our construct?