Null hypothesis (H₀): A statement asserting no effect or relationship exists between variables.
Alternative hypothesis (H₁): A statement suggesting an effect or relationship exists between variables.
Falsifiable: Capable of being proven false through evidence or experimentation.
One-tailed/directional hypothesis: Predicts the direction of the effect or relationship between variables.
Two-tailed/non-directional hypothesis: Predicts an effect or relationship without specifying its direction.
Scientific theory: A well-supported explanation of phenomena based on evidence and observation.
Qualitative: Non-numeric data focusing on descriptions, themes, or patterns.
Quantitative: Numeric data emphasizing measurement and statistical analysis.
Experimental design: A method for testing hypotheses by manipulating variables to observe outcomes.
Observational design: A method of studying behavior without direct intervention or manipulation.
Experiment vs. Study: An experiment manipulates variables to test causation, while a study may simply observe relationships.
Cause-and-effect relationship: A connection where one variable directly influences another.
Independent variable (IV): The variable manipulated to assess its effect on the dependent variable.
Levels/conditions: The different values or categories of the independent variable.
Dependent variable (DV): The variable measured to determine the effect of the independent variable.
Control variable: A variable held constant to prevent it from influencing results.
Measured variable: A variable that is observed and recorded without manipulation.
Within-subjects/repeated measures: Design where the same participants are exposed to all conditions.
Between-subjects/independent design: Design where different participants are exposed to different conditions.
Variability: The extent to which data points differ from each other or the mean.
N: The sample size, or the number of participants in a study.
Counterbalancing: A method to control for order effects by varying the sequence of conditions.
Order effects: Changes in participants’ behavior due to the order of conditions.
Experimenter bias: Unintentional influence of the experimenter on results.
Participant bias: Participants’ behavior changes due to their awareness of being studied.
Hawthorne effect: Improved performance due to participants knowing they are observed.
Experimental group: The group exposed to the independent variable.
Control group: The group not exposed to the independent variable, serving as a baseline.
Placebo effect: A change in behavior due to participants’ expectations, not the treatment.
Single-blind: Participants are unaware of the condition they are in.
Double-blind: Both participants and researchers are unaware of the assigned conditions.
Confounds/extraneous variables: Variables other than the IV that may influence the DV.
Correlation: A statistical measure of the relationship between two variables.
Positive correlation: Both variables increase or decrease together.
Negative correlation: One variable increases as the other decreases.
Sample: A subset of individuals from the population being studied.
Population: The entire group of interest in a study.
Representative sample: A sample reflecting the characteristics of the population.
Random sampling: Selecting participants so each individual has an equal chance of inclusion.
Randomly assigned: Allocating participants to conditions by chance.
Convenience/opportunity sampling: Selecting participants based on availability or accessibility.
Reliability: The consistency of a measurement or test.
Validity: The extent to which a test measures what it claims to measure.