Chapter 5: Identifying good measurement Flashcards
3 types of measure
- self-report measure
- observational measure
- physiological measure
self-report measure
operationalizes a variable by recording people’s answers to questions about themselves in a questionnaire or interview
observational measure
operationalizes a variable by recording observable behavior or physical traces of behavior
physiological measure
operationalizes a variable by recording biological data
quantitative (continuous) variables
coded with meaningful numbers
- ordinal scale
- interval scale
- ratio scale
ordinal scale
applies when the numerals of a quantitative variable represent a ranked order with scales that might be unequal
interval scale
applies to the numerals of a quantitative variable that meet 2 conditions
- the numberals represent equal intervals between levels
- there is no true 0 (a person can score 0, but it does not mean literally nothing)
ratio scale
applies to the numerals of a quantitative variable under 2 conditions
- the numerals represent equal intervals between levels
- there is a true 0, a person is able to score 0 and that means literally nothing
reliability vs validity
- reliability: how consistent the results of a measurement are
- validity: is the operationalization measuring what it is supposed to measure
test-retest reliability
a study participant will get pretty much the same score each time they are measured with it
interrater reliability
consistent scores are obtained no matter who measures the variable
internal reliability
a study participant gives a consistent pattern of answers, no matter how the researchers phrase the question
average inter-item correlation (AIC)
the average of all correlations
cronbach’s alpha
combines the AIC and the number of items in a scale
- the closer it is to 1 the better the reliability of the scale is
- for self-report measures: 0.8+
types of reliability relevant for each kind of the three operationalizations
face validity
does the test measure what it’s supposed to measure
content validity
evaluates how well an instrument covers all relevant parts of the construct it aims to measure
criterion validity
evaluates whether the measure is associated with a concrete behavioral outcome that it should be associate with, according to the conceptual definition
known-groups paradigm
researchers see whether scores on the measure can discriminate among 2 or more groups, whose behavior is already confirmed
convergent validity
how closely a test is related to other tests measuring the same/similar construct
discriminant validity
tests whether constructs that are not supposed to be related are actually unrelated
can a measure be valid if it is not reliable
if a measure is not reliable, then it cannot be valid