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Glossary

C

Causation

Criticality: 3

A relationship where one variable directly influences or produces a change in another variable.

Example:

An experiment might demonstrate that a specific medication causes a reduction in anxiety symptoms, rather than just being related to it.

Confounding Variables

Criticality: 3

Factors other than the independent variable that might produce an effect in an experiment, making it difficult to determine the true cause of the observed outcome.

Example:

In a study testing a new energy drink, if participants also started exercising more, the increased exercise would be a confounding variable that could affect their energy levels, not just the drink.

Control Group

Criticality: 2

In an experiment, the group that does not receive the treatment or manipulation of the independent variable; it serves as a baseline for comparison.

Example:

When testing a new fertilizer, one set of plants would receive the fertilizer (experimental group), while another set, the control group, would receive only water to see the difference.

Correlation

Criticality: 3

A statistical measure that describes the extent to which two variables change together, indicating a relationship but not necessarily cause and effect.

Example:

Researchers might find a positive correlation between the amount of time spent studying and higher exam scores, meaning they tend to increase together.

Correlational Research

Criticality: 2

A research method that examines the extent to which two or more variables are naturally associated or related, but does not establish cause and effect.

Example:

A study investigating the link between hours of sleep and reported happiness levels would be using correlational research to see if these two factors tend to change together.

D

Dependent Variable

Criticality: 3

The factor that is measured in an experiment; it is the outcome that may change in response to manipulations of the independent variable.

Example:

If a study examines how different teaching methods affect test scores, the test scores themselves would be the dependent variable.

Descriptive Research

Criticality: 2

A research method used to observe and record behavior or characteristics without manipulating variables or looking for relationships between them.

Example:

A psychologist conducting a descriptive research study might observe children's play behaviors in a natural setting and simply record what they see, without trying to explain why.

E

Experimental Research

Criticality: 3

A research method where the investigator manipulates one or more independent variables to observe their effect on some behavior or mental process, while controlling other relevant factors.

Example:

To determine if a new medication reduces depression, researchers would use experimental research, giving one group the medication and a control group a placebo, then comparing their outcomes.

External Validity

Criticality: 2

The extent to which the findings of a research study can be generalized to other populations, settings, and situations outside of the specific study.

Example:

If a study on a new teaching method only involves students from one specific school, its external validity might be limited when trying to apply it to all students nationwide.

I

Independent Variable

Criticality: 3

The factor that is manipulated or changed by the researcher in an experiment to see if it causes a change in another variable.

Example:

In an experiment testing the effect of caffeine on alertness, the amount of caffeine given to participants would be the independent variable.

Internal Validity

Criticality: 3

The extent to which a study establishes a trustworthy cause-and-effect relationship between the independent and dependent variables, free from the influence of confounding variables.

Example:

Careful control of all variables in an experiment helps ensure high internal validity, making researchers confident that the independent variable truly caused the observed changes.

R

Random Assignment

Criticality: 3

A procedure used in experiments to ensure that each participant has an equal chance of being placed into any group (e.g., experimental or control), minimizing pre-existing differences between groups.

Example:

To ensure fairness and reduce bias, participants in a drug trial are typically assigned to either the treatment or placebo group through random assignment.