PSYC - Ch 3 + 6.2 Flashcards
Why measure?
comparison
classification
prediction
program evaluation
decision-making
diagnosis
Variables can be
Directly observable or inferred states
Constructs
A hypothetical mechanism that helps explain and predict behaviour.
External stimuli -> Construct -> External behaviours
Presumed unobservable internal mechanisms that account for externally observed behaviour.
Rewards -> Motivation -> Performance
Exam -> Anxiety -> Affects behaviour
The construct cannot be studied directly, but the stimuli and behaviours which are influenced by the construct can be studied.
Change in environment leads to observable behaviours
ie: anxiety, self-esteem, motivation, aggression, intelligence.
Brings from Abstract to Concrete
Unobservable (stress) to observable (HR, persipration,)
A variable that is a hypothetical entity created from theory and speculation. They are influenced by external stimuli and influence external behaviour
Step 3 of the Research Process
- determining a method for defining and measuring the variables that are being studied
Operational definition
Precise description of what you will measure, how you will measure it, and when you will measure it (testing protocol). Defines how you will measure the construct. (Ie. sores on an anxiety test)
Defines the “operations” allowing us to link unobservable with observable
Converts abstract to concrete/measured
Needs to be - clear + precise - allows for replication
EX: the operational definition of anxiety could be in terms of a test score, withdrawal from a situation, or activation of the sympathetic nervous system.
ODs must be VALID and RELIABLE
Validity
Accuracy of the measure
Will the test measure what it is supposed to measure?
Reliability
Consistency of the measure over repeated applications in same conditions. (Reproducability)
Measurement always varries a little but should be as little as possible.
(Dots close to each other or close to the line on a line graph)
Types of Validity - in regards to a measurement
Face validity
Predictive validity
Concurrent validity
Construct validity
Convergent & divergent
Types of Validity - in regards to the study as a whole
Internal validity
External validity
Face Validity
Extent to which a measurement appears to be a plausible measure of the variable at first glance.
Does it make sense? Would others agree?
Ex: Measuring anxiety through observation at a party or through # of toes.
Predictive Validity
The strength of the relationship between 2 variables (correlation)
Can you use one to predict the other?
Intelligence - GPA
Neuroticism - Stress
Concurrent Validity
Extent to which a measure relates to existing measures of the same thing (construct).
The new (yours) and old test (IQ test) have to produce similar results/have a high correlation or else the measure may have low validity
Construct Validity
Extent to which scores obtained from a measure behave exactly the same as the variable itself (e.g., aggression & temperature).
The extent to which your test or measure accurately assesses what it’s supposed to
It is based on many studies that use the same measurement procedure. It grows as each new study contributes more evidence (same measurement with similar results).
Use multiple measures in your study, to help establish construct validity.
Convergent & Divergent Validity
The scores of some of the measure will converge - measuring similar or related constructs
The scores of some of the measures will diverge - measuring unrelated constructs
Ex: Aggression is children - is it high energy or aggression
Measure of aggression should converge (correlate highly).
Behavioral measure of energy and the above measures should diverge (have a low correlation).
Internal Validity
Can you safely say the changes in X have caused the changes in Y.
Depends on the control of other variables/confounding variables.
4 week yoga retreat decreases stress. Was it the yoga? The lack of work? The sun and beach?
External Validity
Extent to which your results can generalize to other settings and populations. (Generalizable)
If effects remain with different groups = good external validity