1/18
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Independent Variable (IV)
Variable manipulated by the researcher.
Dependent Variable (DV)
Variable measured by the researcher.
Reliability
Consistency of a measure. Produces similar results when repeated.
Validity
Whether a measure actually measures what it is intended to measure.
Correlation
A relationship between two variables.
Causation
One variable directly causes changes in another variable.
Third Variable Problem
A separate variable may explain why two variables are correlated.
Confounding Variable
Any variable other than the independent variable that could influence the dependent variable.
Observational (Correlational) Design
Measures variables without manipulating them. Can identify relationships but cannot prove causation.
Experimental Design
Manipulates an independent variable to determine whether it causes changes in the dependent variable.
Population
The entire group the researcher wants to draw conclusions about.
Sample
A smaller group selected from the population to participate in the study.
Within-Subjects Design (Repeated Measures)
The same participants complete every condition of the experiment.
Between-Groups Design (Independent Groups/Independent Samples)
Different participants complete different conditions.
Matched-Pairs Design
Participants are matched on an important characteristic before being randomly assigned to different conditions.
Single-Blind Design
Participants do not know which condition they are in.
Double-Blind Design
Neither participants nor researchers know who is in which condition.
Standardisation
Keeping all testing conditions the same to minimise confounding variables.
Randomisation
Randomly assigning participants to conditions to reduce participant differences.