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case study
detailed examination of a real-world subject
correlational study
non experimental method that measures two or more variables to see if a statistical relationship exists
scatterplot
type of graph that uses dots to show the relationship between two different numeric variables
illusionary correlation
cognitive bias where a person accidentally perceives a relationship between two separate things
naturalistic observation
research method where people or animals are watched in their real world settings
range
descriptive statistics that measures variability
Mean
arithmetic average of a dataset
Median
the middle score in a dataset when all the numbers are arranged in numerical order
Mode
the most frequently occurring value in a dataset
standard deviation
statistic that measures variability including average distance/difference of scores from the mean
independent variable
experimental factor that the researcher manipulates to see its effect on another factor
dependent variable
the measurable outcome that is evaluated to see the effect of the independent variable
operational definition
exact statement of the procedures and measurement to define research variables in a study
random sample
subset of a population chosen entirely by chance, every individual has an equal chance
random assignment
using chance to place participants into control groups, giving each person an equal chance of being in any condition
placebo effect
when physical/mental condition improves after receiving an inactive, fake treatment, b/c they believe they are getting real treatment
double blind procedure
when neither the participant nor the researcher knows who receives the actual treatment or placebo
statistical significance
when research results or a difference between groups is unlikely to be random
replication
repeating a research study
cofounding variable
an outside factor other than the independent variable that changes the dependent variable, ruins validity, and causes false conclusions