chapter 5 - 6 Flashcards
What are the 3 common types of measures?
Self-report ; observational (or behavioural) ; physiological
Give a brief explanation and example of a self-report measure.
This measure record people’s answers to questions about themselves. Example : in a questionnaire or interview like survey monkey.
Give a brief explanation and example of an observational measure.
Operationalize a variable by recording observable behaviours. Example : Ainsworth’s strange situation.
Give a brief explanation and example of an observational measure.
Operationalize a variable by recording biological data (i.e : heartrate, brain activity, etc.) Example : examining a person’s reaction to different sounds by looking at brain response.
What are the 2 big scales of measurement?
Categorical variables ; quantitative variables.
What are the types of quantitative variables and give an example for each?
Ordinal scale (spotify ranked) ; interval scale (temperature, IQ score) ; ratio scale (height, exam scores)
True or false : there is a true 0 in the interval scale
False, there is only a true 0 in the ratio scale.
What are the types of reliability?
Test-retest ; interrater ; internal.
Give an example of each type of reliability.
test retest : personality test to ensure that the results don’t change (p.ex : myers-briggs)
Interrater : evaluating the anger levels in a Taylor Swift MV.
Internal : when asked the same question in various ways, the participant gives the same response.
True or false : if the correlation coefficient (r) is strong in an interrater reliability, it will be .05 or above.
False : that is the strong and positive (r) for test-retest, for interrater, it has to be .70 or above.
What is the difference between face validity and content validity?
Face validity : it looks like what you want to measure
Content validity : the measure contains all the parts that your theory says it should contain
What does criterion validity measure?
It examines whether a measure correlates with key behaviour outcome.
What is the difference between convergent and discriminant validity?
Convergent is an empirical test of the extend to which a self-report measure correlates with other measures of a theoretically similar construct.
Discriminant is an empirical test of the extent to which a self-report measure does not correlate strongly with measures of theoretically dissimilar constructs.
True or false : a measure can be less reliable than it is valid.
False
What do correlations do?
They capture the strength and direction of an association between 2 variables.