Name that design
Researcher manipulates drug (placebo vs. real)
Single variable, two level experiment (not enough info to know more)
Dr. Jones manipulated the...
independent variable (stock market?)
Random assignment to a two condition between subject experiment means each person has a BLANK probibility of being in "condition 1" or "condition 2"
50/50 (50%)
All participants do all levels (2x2)
Fully within subjects factorial design
The outcome was the...
dependent variable
The classic example of counterbalancing for order effects is
AB/BA testing
Participants do only one level for each combination of variables (2x2)
Fully between subjects factorial design
Age is a common
Quazi-independent variable
This square can help when counterbalancing for more complicated designs (when more orders are possible)
Latin Square
Age (O/Y) x Drug (Between: low vs. high) x Therapy Intervention (Within: group vs. solo)
2 x 2 x 2 mixed factorial design with age as a Quazi-IV
Researcher collects demographics that are not part of the manipulation. These are BLANK variables
Measured variables
Randomization helps squash pre-experimental differences that could become:
confounds