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13 Cards in this Set

  • Front
  • Back
Independant variable
Causes variablity in the Dependent Variable; "treatment" or "intervention"
Dependent variable
Presummed to be affected by Independent Variable; observed & measured by researcher
If A, then B....
A = Independent variable
B = Dependent variable
Experimental vs quasiexperiemental experiemnets
Experimental = randomized
Quasi-experiemental = can't randomize
Internal validity
Allows researcher to determine:
1) if there is a statistically significant relationship bt variables
2) If observed behavior is a causal one
External validity
if relationship bt variables generalizes
Threats to Internal validity
1) History
2) Maturation
3) Statistical regression
4) Selection = when subjects from one group initially differ from subjects in other groups in important ways
Threats to External validity
1) Demand caharacteristics = cues that inform participants how they are expected to act
2) Hawthorne effect = tendency to perform better b/c of the attention they are receiving because of being a participant
3) Experiemntal expectancy = experimenter unintentionally providing cues about the purpose of the experiment

ORDER EFFECTS (overcome with counterbalancing)
Between group designs
Comparisons of levels of IV are made across different groups
Within subject design
each subject recieves all levels of IV at different times
Mixed designs
combines BGD and WSD
Factorial designs
- Used whenever study includes 2 or more IV
- Provides info on main effects and interaction effects
- Interaction effect is when the effects of one IV are different at different levels of another IV
Single subject designs
- includes at least one baseline phase and one treatment phase
-DV is measured repeatedly during each phase of study
- multiple baseline designused when removal of tx would be undesirable