Experimental Psychology and Research Methods Quiz

Standard deviation measures variability, not central tendency.

Control groups establish a reference point for evaluating treatment effects.

Debriefing informs participants about the study's objectives and addresses any concerns.

Informed consent ensures participants make voluntary and informed decisions about participation.

Placebos help distinguish between the psychological effects of treatment and placebo.

Random assignment reduces bias by ensuring equal distribution among groups.

Correlational studies explore relationships between variables without manipulation.

Inferential statistics generalize sample data to populations.

The Hawthorne effect refers to behavior changes due to awareness of being studied.

Factorial designs involve manipulating multiple independent variables.

True experiments use random assignment to reduce bias and establish causality.

Independent samples t-test evaluates differences between means of two separate groups.

Within-subjects designs enhance statistical power by reducing variability.

Convenience sampling may lead to biased samples, limiting generalizability.

Observational designs study behavior in natural settings without intervention.

Pilot studies assess the viability and refine the methodology of a larger study.

External validity assesses the generalizability of study findings beyond the sample and context.

Surveys are typically considered quantitative research methods.

Positive correlation coefficients signify that as one variable increases, the other tends to increase.

Cohen's d quantifies the magnitude of the difference between groups or conditions.

Standard deviation quantifies the spread or dispersion of data points.

P-value assesses the likelihood of observing results purely by random chance.

Test-retest reliability assesses the stability of measurements across repeated assessments.

Literature reviews establish a foundation by summarizing existing research and identifying research gaps.

Factorial designs allow researchers to study the effects of multiple independent variables.