AAQ Study

Experiment

testing outocomes — cause and effect - doing something or manipulating something

case study

one person, special case — not testable, in depth information

correlation

compare what is — comparing 2 things/relationships between potential variable

meta-analysis

combine many studies — looking at making sample sizes really big, major trends, overall findings

cross-sectional

taking a section of society and seeing how age would occur — portion of society

longitudinal

following up with same people over long period of time

naturalistic observations

observing individuals in natural environment — experiments observing/reporting what they see, no manipulation

ethical principles

Ethics board, informed consent, protected from harm, confidentiality, and debriefing

generalizability

a study is generalizable when the group represents the population in the hypothesis well, and the sample size is relative to the experiment

p-value

statistical significance — <.05 not due to chance

if experiment - must be at least 95% certain that the differences are due to the independent variable