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Researcher control in surveys
Variables are not under the researcher's direct control.
Purpose of surveys in the real world
To examine naturally occurring patterns.
What do surveys determine between variables?
The correlation between variables of interest.
Variables measured in surveys
Both Independent Variables and Dependent Variables.
Internal vs. External Validity Trade-off
Increasing internal validity through tight control often decreases external validity.
Ecologically Valid Approaches
Using real-world conditions like field experiments or 'living labs'.
Blinding
Hiding information about the study from people involved.
Single-blind study
Study where the participant doesn't know their treatment group.
Double-blind study
Study where both participants and researchers are unaware of treatment groups.
Purpose of blinding
Helps prevent a range of potential experimenter biases and effects.
Best practice for blinding
Use it if possible and describe exactly who and how you did so.
Confounds
Changes in your DV (outcome variable) due to another variable, NOT your IV (treatment variable).
Maturation Effects
Natural changes over time, such as children's physical and cognitive development, that can be confused with the effect of the treatment.
History Effects
External events occurring in the world between pre- and post-test (e.g., COVID-19, 9-11) that can affect study outcomes.
Testing effects
Reflect the situation where for one reason or another the original testing situation affects the subsequent testing situation.
Delays between pre- and post-test
Even short delays can cause problems in the form of practice effects and fatigue effects.
Reactivity
When something about the study itself means only particular people respond or influence how people respond.
Mortality in studies
When people drop out from a study, which can also affect external validity.