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overconfidence
tendency to overestimate abilities
hindsight bias
tendency to believe, after learning an outcome, that one would have foreseen it (I knew it all along)
scientific method
scientists form hypotheses from theories, conduct research, & refine theories in light of research observations
hypothesis
testable prediction for research
theory
hypothesis that has been tested & evaluated many times and is accepted as fact
replication
repeating study to see if the basic finding extends to other participants in other circumstances
falsifiability
belief that for any hypothesis to have credence, it must be inherently disprovable before it can become accepted as a hypothesis
null hypothesis
states there is no relationship between the variables studied (meant to counterbalance hypothesis)
peer review
process that takes place before a study is published to check quality & validity of research and make sure it contributes to its field
meta-analysis
procedure for statistically combining the results of many different studies
descriptive methods
describe behaviors/attitudes but do not explain them; case studies, surveys, & naturalistic observations
case study
an observation technique in which one person is studied in depth to try to reveal universal principles (ex: feral children)
survey
ascertains self-reported attitudes or behaviors of people, usually by using representative, random sample
generalization
can be applied to entire population if survey is representative & random
Likert scale
rating scale for attitude or opinion
self-report bias
when researchers rely on asking people to describe thoughts/feelings/behaviors instead of measuring directly or objectively
social-desirability bias
tendency to give socially approved answers to questions instead
convenience sampling
selecting sample that is not random or systematic but governed by chance/availability (ex: interviewing people exiting a specific store)
sampling bias
collection of samples that do not accurately represent the entire population
naturalistic observation
recording behavior in naturally occurring situations without trying to manipulate & control the situation (ex: observing animals in the wild)
time sampling
taking records at different intervals of time in naturalistic observation
situation sampling
recording behavior in a variety of different situations/settings in naturalistic observation
correlational
measure of how two variables relate to each other and how well each factor predicts the other
scatterplots
graphed cluster of dots, each of which represents values of two variables
positive correlation
two variables rise together
negative correlation
two variables relate inversely to one another; one rises, the other falls
no/zero correlation
two variables do not seem to be related
correlation coefficient
numerical measure of strength of linear relationship between two variables; 0 is no correlation, 1 is perfect; represented as r = +/- ___
effect size
tells you how meaningful relationship between variables or difference between groups is
illusory correlation
perceiving a relationship between variables (usually people, events, or behaviors) even when no relationship exists (ex: weather & joints aching)
directionality problem
it is known that two variables are related, but it is not clear which is cause & which is effect
third variable problem
when a third variable leads to mistaken causal relationship between two variables (ex: correlation between ice cream sales & shark attacks, with 3rd variable being warm weather)
experimental method
an investigator manipulates one or more factors to observe the effect it has on a behavior/mental process
variable
anything that can change or be changed within an experiment
independent variable (IV)
variable being manipulated
dependent variable (DV)
outcome being studied as a result of the independent variable
operational definition
specific & measurable definition of independent & dependent variables; purpose is for experiment to be able to be repeated
experimental group/condition
participants receiving/impacted by the independent variable
control group/condition
participants NOT exposed to the independent variable
random assignment
process whereby all participants have an equal chance of assignment to any condition/group
placebo
substance or treatment that has no effect besides a person's belief in it
placebo effect
person receiving placebo may report positive effects due to belief in drug/treatment
single blind procedure
participants do not know which group they're in
double blind procedure
neither participants nor researchers know who is in which group
experimenter bias
scientists performing research unconsciously influence results to portray a certain outcome
confounding variable
third variable that influences independent & dependent variables
qualitative measures
non-numerical data that helps understand concepts or opinions (dialogue, body language, etc)
quantitative measures
numerical data
institutional review board (IRB)
reviews research studies involving humans for ethics violations
institutional animal care & use committee (IACUC)
reviews research studies involving animals for ethics violations
informed consent
participants are given info about the experiment & allowed to decide if they want to participate; must disclose risks associated with participation
informed assent
people under the age of 18 or who cannot give consent can participate if a parent/legal guardian consents on their behalf
confederate
aide of experimenter who poses as a participant but whose behavior is rehearsed prior to the experiment (allows researchers to reliably capture naive reactions)
debrief
explain what was done and why in the experiment to participants after it happens
measures of central tendency
typical value that represents the whole set of data (mean, median, mode)
mean
average value in a set
median
middle value in a set
mode
most frequent value in a set
frequency distribution
bell curve; list or display of data on a scale of measurement
normal curve
distribution where mean, median, & mode are the same
regression toward the mean
tendency for extremely high or low scores to even out upon retesting
skewness
measure of asymmetry in distribution; outlying data points exist; mean differs from median & frequency distribution isn't a good indicator of data; the way you ski is the way you skew
bimodal distribution
two modes/curves (ex: plotting heights in males & females)
measures in variation
measures of how a data set is spread out (range, standard deviation)
range
difference between the highest & lowest value in a set; shows dispersion
standard deviation
degree to which values differ from each other & vary around the mean value for a set; between 0 & 1/2 of range (closer to 0, closer together values are)
In a normal curve, what percent of data falls within 1 standard deviation?
68%
In a normal curve, what percent of data falls within 2 standard deviations?
95%
In a normal curve, what percent of data falls within 3 standard deviations?
99.7%
statistical significance
statement of how likely it is that the obtained result occurred by chance (uses a formula that is impacted by effect size)
defensible claim
evidence-based argument
refute
to prove wrong by argument or evidence