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experiment
determine a cause-effect relationship; controlled conditions and variable manipulation
correlational study
Measuring relationships without manipulation
case study
In-depth study of one person/group; rare/unique issue
naturalistic observation
Watching behavior in natural settings; naturally occurring without manipulation
survey/questionnaire
Self-reported data collection
meta-analysis
combine results of multiple studies in order to identify a pattern
operational definition
abstract, quantifiable variable (ex. happiness, memory) and how it is measured (ex, questionnaire, set time)
mean
the average in a set of numbers
median
the middle value in a set of numbers arranged in order
mode
the number that appears most frequently
range
measure of variability (highest value-lowest value)
standard deviation
how close individual numbers are to the mean
low standard deviation
values close to the mean, indicating less variability
high standard deviation
values spread out, indicating greater variability
percentile rank
taking the percent of scores that fall below a value in order to compare an individual to a larger group
skewness
measure symmetry/asymmetry of a distribution of data
correlational coefficient
the strength/direction of the relationship between two variables, can be positive or negative
statistical significance
whether a result is due to chance or if it reflects a real effect
effect size
the measure of strength of the effect; the larger, the stronger the relationship between two variables
Informed consent
participants agreed to participate
Protection from harm
minimizing risks
Confidentiality
privacy of information
Debriefing
explaining the study afterward
Right to withdraw
ability to quit
IRB approval
Institutional Review Boards approved the study
generalizability
the extent to which the results of a study can be applied to/are representative of a larger population beyond the specific sample used in the research.