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Operationalize
Translate definition from abstract to concrete forms of observation/manipulation
Self-report measures
People report on the variable
Limited by self-awareness and honesty
Behavioral measures
Observations
Could be naturally occurring/ lab induced
Physiological measures
Assessment of bodily states
Accurate and objective
Expensive
May not always reflect psychological processes
Quantitiative
Variables are assigned a numerical value
Qualitative
Verbal description
True score
The actual score - not something you can measure
Obtained score
Score the measure gives
Measurement error
Difference between the true score and obtained score
Something researchers want to minimize
Reliabiltity
Does the test give consistent measurements?
Test-retest reliability
Same test is given twice with a delay
Not useful for unstable variables like mood
Parallel-form reliability
Different forms of the same test
E.g., GRE questions
Interrator reliability
2+ people record what they observe
Validity
Measures can be reliable but inaccurate
E.g., a scale always 5 pounds off
Construct validity
Does it sample relevant behavior?
E.g., employment test should ask about job related skills
Predictive validity
Does it predict expected outcomes?
E.g., measure of stress predicts illness
Convergent validity (broad)
Does it correlate with related variables?
E.g., shyness measure with social anxiety
Discriminant validity (divergent)
Does it not correlate with unrelated variables?
E.g., extraversion & neuroticism
Instrument threat
Instrument we developed no longer applies
E.g., measures of life satisfaction that included item “I normally feel very gay”
Sensitivity (potential problems with adequacy)
Can it detect subtle differences?
Range effects (potential problems with adequacy)
Min or max score is reached too frequently
Ceiling effect
Floor effect
Ceiling effect
Everyone scores upper limit
E.g., memory test with only 5 words
Floor effect
Everyone scores low limit
E.g., giving 8 yr olds calc exam
Reactivity
When observing someone changes their behavior
Threatens validity
Subject-expectancy effects
When participants anticipate the hypothesis & respond differently
Demand characteristics
Cues that signal purpose of a study
Good subject
Participants want to help researcher affirm hypothesis
Negative subject
Wants to act contrary to hypothesis
Apprehensive subject
Wants to present themselves in a desirable manner
Experimenter-expectancy effects
When researchers knowledge of the predictions affects how they treat participants
reducing reactivity
Blind design
Participant does not know their condition
Double blind
Experimenter & participants do not know condition