Scale development and psychometric properties Flashcards
What types of variables to we measure in psychological research?
Behavior: observable and measurable, objective
Construct: concept of interest, can measure related variables, subjective
Can we trust data from an inconsistent measure?
No
Pearson’s r
Correlation coefficient: Used to observe reliability of a measure. Should be .8+ (.9 is gold standard, which indicates 10% error)
test-retest
A type of reliability test in which you have the same person complete the same measure twice and then use r to evaluate the relationship. The higher the coefficient, the more reliable the measure.
Alternate forms
A type of reliability test in which you create two versions of same measure, and administer each version to same participants, then use r to evaluate the relationship
Split-half
A type of reliability test in which you randomly separate one measure into two parts- administer both parts to same participants and then use r to evaluate the relationship
Cronbach’s alpha
Evaluates internal consistency of a measure
- calculates all possible split-half configurations
- .7 acceptable, .9 gold standard
- scores range from 0-1, like r
Factors that affect reliability
test length homogeneity of items test-retest interval variability of scores variation in test situation sample size
interrater reliability
Used to measure the evaluation of a subjective measure. Two independent raters use a measure for the same observation, then evaluate consistency with r
Especially common in SCD and academic intervention research
reliability=
consistency
What are the two issues in validity?
What a test measures, and how well it measures it
Is validity all or nothing?
No, there are degrees of validity and it requires ongoing consideration because what we know about a construct changes and “normal” functioning changes
How does Pearson’s r relate to validity?
We can use r to evaluate how valid a measure is compared to other measures.
Convergent construct validity
Compares measure to other similar measures
Discriminant Construct validity
does not correlate with a measure of logically unrelated construct