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Psychometrics
Is measuring tool dependable and measuring the right thing (quality of measurment)
Reliability
Consistency by reducing error
Test-retest reliability
Same people do measures more than ones should get similar scores
Inter-rater reliability
Two observers should score behaviors similarly
Parallel forms reliability
different versions of tests should give similar forms (ex. ACT)
Internal Consistency
Questions are measuring the same construct
Cronbach’s Alpha
Value greater than 0.8 means that items fit together well, creates reliability
Homogenous questions
can add together to create composite score (ex. all positive)
Heterogenous questions
can not add together to create composite score some may need to be reveresed
Validity
Accuracy of measurements, does the test measure what it should?
Convergent Construct Validity
strong positve correlation with similar concepts
Discriminant construct validity
weak correlation between dissimilar concepts
Criterion-related validity
strong positive correlation between measure and relevant criterion (relation to real world outcome)
Content validity
measure covers content it is meant to assess
Face validity
measure looks like what it claims to be (survey about anxiety looks like it is about anxiety)
Selection effects
Created when not using random assignment- confound
Order effect
How you respond to one IV level can influence the next level (order could effect results) (WI subject design)
Practice effects
Improvement/fatigue from too much repetition (WI subject design)
Carryover effects
how you experience first condition changes in next (WI subject designs)
To solve order effect of WI subject designs…
Counterbalancing- IVs in different sequences
Quasi Experiments
Control and experimental groups but groups were not randomly assigned
Multi-factor experiment term for IV
Factor
Factorial Design…
written blankxblank or number of IVs times level of IVs
n in n-way ANOVA
number of IVs