Lecture 6 Flashcards
Measurement (operationalization)
Turning abstract conceptual variables into measurable observations
How do you assess, and ensure, the quality of a studys measurement instruments?
Measurement reliability and measurement validity. In evaluating a measurement instrument, you always need to consider both. When a measure satisfies both criteria, we say it has construct validity
The term measurement reliability refers to
The degree to which multiple measurements give the same result
Validity refers to
The degree to which the scores on a measure represent the variable they are intended to
How can you assess or demonstrate the reliability of measures?
You should think about the different ways in which you can repeat your measure to see if the results are similar
Test-retest reliability
Test-retest reliability is the degree of agreement between the results when the same measure is repeated sometime later (under the same conditions)
Inter-rater reliability
Inter-rater reliability is the degree of agreement between the results when (at least) two people (raters) administer the measure to the same subject (under the same conditions)
Internal consistency
Internal consistency is the degree of agreement between the different questions (also refered to as items) of a single measurement instrument
Cronbachs alpha is
A statistic derived from pairwise correlations between the items in a measure that are supposed to measure the same construct
Cronbachs alpha (formula)
Cronbachs alpha = k/k-1 * (Sum of covariances/sum of variances and covariances)
Proxy
indirect measure of the desired construct that is closely related to the construct
Internal validity
Refers to what extent a study can eliminate alternative explanations for the association(s) / causal effect(s) it reports
Confounding
Refers to a situation in which third factors come into play that influences the outcome of a study. In short, you can only be confident that your study is internally valid if you can rule out alternative explanations for your findings
internal validity
The extnet to which youre able to say that no other variable apat from the independent variable caused a change in the dependent variable
External validity
Refers to how well the findings of a study are generalizable to a wider population
In particular, do the findings generalize:
To other subjects (e.g. from the people, firms etc. in your sample population
To other settings (e.g. from the lab to the real world; from pre-covid to post covid times etc.)