Comparison Group
A group in an experiment whose levels on the independent variable differ from those of the treatment group in some intended and meaningful way
Control Group
No treatment condition
Systematic Variability
A difference that could be attributed to a known factor (non-random)
Unsystematic Variability
Differences are attributed to random fluctuations (maybe due to measurement error, etc.)
Confound
a general term for a potential alternative explanation for a research findings; a threat to internal validity
Design Confound
A threat to internal validity in an experiment in which a second variable happens to vary systematically along with the independent variable and therefore is an alternative explanation for the results.
Selection Effects
Participants are not chosen randomly
Ways to Avoid Selection Effects
Random Assignment
Matched groups
Independent-Groups Design
An experimental design in which different groups of participants are exposed to different levels of the independent variable, such that each participant experiences only one level of the IV.
Within-Groups Design
An experimental design in which each participant is presented with all levels of the IV.
Repeated-Measured Design
Subjects measured more than once; after each exposure to each level of the IV
Concurrent-Measures Design
Subjects exposed at different levels of the IV at the same time
Advantages of Within-Groups
Participants in your groups are equivalent because they are the same participants and serve as their own controls
Within-groups designs require fewer participants than other designs
Order Effects
A threat to internal validity in which exposure to one condition changes participant responses to a later condition
Practice Effect
Participants performance improves over time because they become practiced at the dependent measure
Carryover Effect
Some form of contamination carries over from one condition to the next.
Fatigue Effect
Degrades over time because they become tired, not because of the manipulation of treatment
Counterbalancing
In a repeated-measure experiment presenting the levels of the IV to participants in different sequences to control for order effect.
Full Counterbalancing
All possible condition orders are represented
Partial Counterbalancing
Some, but not all, of the possible condition orders are represented
Disadvantages of Within-Groups
Potential for order effect
Might not be practical or possible
Experiencing all levels of the IV changes the way participants act (demand characteristics)
A cue that leads participants to guess a study’s hypotheses or goals
A threat to internal validity
Posttest-Only Design
Using an independent-group design in which participant are tested on the dependent variable only once
Pretest/Posttest Design
Using an independent-group design in which participant are tested on the key dependent variable twice: once before and once after exposure to the IV.
Manipulation Checks
An extra DV researchers can include to determine how well a manipulation worked