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Unit 0.4
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Positive correlation
Two variables move in the same direction
Negative correlation
Two variables move in the opposite direction
Strong correlation
Data points are close together
Weak correlation
Data points are farther away from each other
Correlation Co-efficient
A correlation co-efficient falls between 1 and -1. Typically referred to as “r”. If the number is closer to 1, it is positive. If the number is closer to -1, it is negative. Shows how strong the linear relationship is.
Linear relationship
A connection between two variables that forms a straight line when plotted on a graph

Illusory Correlation
A cognitive bias in which a person perceives a relationship between two separate things, events, or variables when that is untrue
Regression Towards the Mean
A statistical rule that extreme or unusual behavior/scores will be followed by more average results
Independent variable
Researchers intentionally change this variable
Dependent variable
Researchers observe this variable
Controlled variable
Researchers keep this variable the exact same for both groups
Control groups
Studies compare a group that gets special treatment (experimental) against a group that does not (control)
Random Assignment
Pariticpants placed into different groups by chance, which prevents bias from skewing the outcome
Likert Scales
A survey presents a declarative sentence where a user picks an answer from a range of numbers
Methods to isolate cause and effect in experiments
Variable manipulation, control groups, random assignment
Directionality Problem
When two variables are statistically related, but it is impossible to determine if variable X causes variable Y or the other way around
Third Variable Problem
When an unmeasured or uncontrolled factor causes a false connection between two other variables that only appear to be linked
Quantitative Research
Collecting and analyzing numerical data
Qualitative Research
Collecting and analyzing non-numerical data
Single-blind Procedure
An experimental design where participants don’t know if they’re receiving the actual treatment or a placebo
Double-blind Procedure
When both the researcher and participant don’t know if they’re receiving the actual treatment or a placebo
Placebo Effect
Symptoms improve after receiving a fake treatment, driven by the idea it was real
Confounding Variable
A third factor that affects the in/dependent variable, creating a false relationship between them
Experimenter Bias
When a researchers’ own expectations or desires skew the results, data or participant behavior
Self-report Bias
When people provide inaccurate/misleading information about themselves in surveys
Social Desirability Bias
The tendency of people to present themselves in ways that align with social norms to please others
Validity
Does the test accurately measure what it claims to measure?