Experimental design Flashcards
Confounding Variable
Another variable that occurs
along the independent
variable
* Uncontrollable
* Cannot determine whether IV or confound responsible for the effect.
Confounding occurs when
- Causal relationship -cant have other possible effects
Internal validity-Ensure only the IV can be
the cause of changes to the DV
- NO other variable or compound should affect the result
Basic experiment:
The independent variable is what we manipulate
Dependent is what we measure
3 basic steps for planingexperiment
- Operationally define independent variable (create at least two levels
ex. no caffeine high level of caffeine - 3.
Sampling strategies
- Simple Random
- Stratified Random: divide population into subgroups (then randomly sample each of these groups
- Cluster: randomly sample from a specific group (class)
- Convenience: based off trait or skill
- Purposive
- Quota: certain traits like different numbers or gender activities are represented
important because women take more surveys more than men could be an imbalanced measure
Assign into groups
Three Designs for Assigning Participants to
Conditions
* Independent groups
- Repeated measures: each participant goes through both groups
ex. no caffeine and caffeine
* Matched pairs
ex.
(Independent groups design (between subjects design)
Each participant is assigned to only one level
to avoid carry over effect-where prior experience has influence on variable you are measuring
Pretest postest design
- see if there are any changes before and after
- Pretest, ideal for smaller studies
good for retention
Disadvantage/Caution: - Pretest can tip participants off to the reason why you’re doing the study
- Time consuming
- can reduce external validity
Solutions to pre- test sensitization
- Mask study’s real purpose
*Use deception - Embed test with distractors
- Solomon Four-Group Design-control statistically whether taking pretest actually influenced results
ex.
1. group doesn’t get pretest, other does
2. everyone tested on mood
3. Two groups further divided into control and experimental groups
Repeated Measures Design
Different participants
assigned to each
level of IV
* Repeatedly measured
on the dependent
variable after being
in each condition
Advantage?
- Saves time and $$$
- Need fewer participants
- Important is participants are scarce or if study is super $$$
- More sensitive to finding significant differences because they are the same people
- Less error variance ( different people trying to look for consistencies across outcome)
Disadvantage:
- Order effect: The sequence in which they experience the test changes outcome
*practice
*fatigue
* contrast effects (comparatively, murder is much worse than theft)
Repeated Measures: Solutions for
Contrast Effects
- Counterbalancing: swap orders every participant of the study goes through every variable
Issue: more conditions = significantly more orders
* Spacing Time Intervals: switch up order of presented conditions
condition presented once in each row in each column
Repeated Measures: Spacing Time
Intervals
- Rest period may counteract fatigue
effect - Longer participant commitment
- Mortality
Matched Pairs Design
Match people on a
participant characteristic
* Obtain a measure of the matching variable from each individual, and then randomly assign participants
* Ensures groups are equivalent