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curiosity
does it work? when put to the test, can its predictions be confirmed?
skepticism
what do you mean? how do you know?
humility
be willing to be surprised by behavior and study further
hindsight bias
“knew-it-all-along” effect
the tendency to perceive past events as more predictable than they actually were → overestimate in one’s ability to foresee the outcome
overconfidence
when one’s belief in their knowledge and abilities is greater than their actual accuracy
perceiving order in random events
the tendency to find patterns in random data, especially where there are none, due to the brain’s inclination to try to make sense of the world through patterns
operational definition
defining a vague concept for a study in order to make it more replicable and observable for empirical testing
falsifiability
can it be proven false? important for good hypotheses
case study
descriptive non-experimental
one individual/group is studied to try to reveal universal principles
often used when the situation would be unethical to make an experiment
naturalistic observation
descriptive non-experimental
observe and record behavior in naturally occuring situations without manipulating/controlling the situation
self-report bias
when people provide inaccurate or incomplete information about themselves
social desirability bias
tendency for respondents to give answers that are perceived as socially acceptable or favorable, rather than truthful
random selection
choosing participants from a larger population, ensuring everyone in the population has an equal chance of being chosen
random assignment
placing participants from a sample into different groups (experimental or control) within an experiment
sampling bias
when a research study doesn’t use a representative sample of a target population
correlational research
non-experimental
descrives the relationship between 2+ variables
scatterplots (r = +1 → perfect positive, r = 0 → no correlation, r = -1 → perfect negative)
directionality problem
don’t know which variable is the cause and which is the effect
third variable problem
when a correlation between two variables is because of a third, unmeasured variable
regression toward the mean
extreme measurements tend to be followed by measurements that are closer to the average
single-blind procedure
participants don’t know if they’re receiving the treatment or a placebo
double-blind procedure
participants and data collectors don’t know which participants are receiving the treatment or placebo
confounding variable
when a third variable not being studied affects the study
validity
the experiment actually tests what it’s trying to test
Likert scale
quantitative
survey tool, participants rate their level of agreement on a scale
confederates
experimentors pretending to be a fellow participant
informed consent/assent
informing possible participants in an experiment with enough information to allow them to decide if they should participate
debriefing
explaining post-experiment all the purposes of the study and any deceiptions used
descriptive statistics
numerical data used to measure/describe characteristics of groups
mean
the only measure of central tendency that is affected a lot by outliers
skewed right
tail on the right
skewed left
tail on the left
normal curve
bell-shaped
68% of data within -1 to 1 SD
95% of data within -2 to 2 SD
99.7% of data within -3 to 3 SD
inferential statistics
numerical data that allow one to generalize (to infer information that applies to a sample applies to the population)
meta-analysis
analyzes results of multiple studies to reach an overall conclusion
null hypothesis
a statement that there is no significant difference/relationship/effect between groups
statistically significant
observed result happens 5% or less when there is no relationship between the groups
effect size
strength of the relationship between 2 variables
confidence interval
range of values that likely include the population’s true mean value