Extraneous and Confounding Variables —Key Points—
Main point: Most outcomes are influenced by multiple variables
Extraneous Variables
Variables other than the IV that could affect the outcome/DV
Confounding Variables
An extraneous variable that that varies systematically with the IV
A confounding variable makes it impossible to claim causation from IV
Extraneous Vs. Confounding Variables
Extraneous Variables generally just add variability, while Confounding Variables can create misleading conclusions about causality.
Test Prep — Identify the Confounding Variable:
Research Question: Does explaining to someone else enhance comprehension?
* Explanation condition: Read an article about echolocation in bats (10 min). After reading the article once, attempt to explain it to someone else, with access to the article the whole time (10 min).
* No explanation condition: Read an article about echolocation in bats (10 min).
* DV: Take a test that measures comprehension (both groups get this test, obvi).
Answers:
This adjustment controls for time and engagement differences, isolating the effect of explaining on comprehension.
Confounding Variables Relationship to Internal Validity
Confounding Variables = a THREAT to Internal Validity!!!
Basic Experiment Types:
Between-Subjects Design: Each group/participant experiences ONE condition
* Between-Subjects Design = Independent Groups Design
Within-Subjects Designs: Each participant experiences ALL conditions (only one group).
* Within-Subjects Designs = Repeated Measures Desig
Assigning participants to conditions: Between-subjects/Independent Groups Design
Assigning participants to conditions: Within-subjects/Repeated Measures Design
All subjects experience every conditions
Assigning participants to conditions: Matched pairs Design
Participants are paired/matched based on similar participant variables (ie: age, sex, hight, etc.) before being assigned a condition.
Ensures that the groups are equivalent (on the matching variable) before introducing the IV manipulation.
Advantages & Disadvantages of Within-Groups Designs
Advantages:
* More confidence when making statistical inferences
* Fewer subjects required
Disadvantages:
* Potential Risk of Order Effects
Order Effects
Practice/ Learning Effect
Definition: Performance increases due to practice in the experiment (warm-ups)
Solution: reduced by adding pre-experimental practice trials
Fatigue Effect
Definition: Performance decreases due to fatigue
Solution: Reduced by allowing breaks during the experiment
Carry-Over Effect
Definition: Persistent influence of one level of the IV on the next level of the IV
Solution: Reduced by allowing breaks during the experiment
Controlling for Order Effects
Counterbalancing and Randomization
Counterbalancing
A method of controlling for order effects in a repeated measures design by switching (balancing) the match between condition and stimuli
Randomization
randomly determining the order for each subject
Matched Pairs Design: When are they Useful?
When a specific participant variable is very likely to affect the DV
When the sample size is NOT particularly large
Pretest Design
Testing the level of the DV before introducing the IV
Posttest Design
A typical experiment uses a post test design. Testing the level of the DV after introducing IV
Pretest-Posttest Design
Measure the DV before introducing the IV and then measure the DV again after IV is introduced