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Unit 1 Quiz and Test
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cultural norms
Cultural and social groups tend to believe their ways re “normal,” other are “abnormal”
confirmation bias
look for evidence supporting already formed beliefs
hindsight bias
believe they knew something would occur before it did
overconfidence
be overconfident their beliefs are correct
independent variables
the variable the experimenter changes or controls and is assumed to have a direct effect on the dependent variable
confounding variables
unmeasured third variable that influences, or “confounds,” the relationship between an independent and a dependent variable by suggesting the presence of a spurious correlation
dependent variables
the variable being tested and measured in a scientific experiment
random assignment
avoids deliberate grouping of like variables to ensure that all variables have an equal chance to be in different groups
case study
detailed and in-depth study of one individual or unit
Advantages: detailed information
Disadvantage: cannot generalize to a larger population
correlation
the degree to which two factors vary together and therefore how well one predicts the other
positive correlation
Two factors vary systematically in the same direction, increasing or decreasing in size together
negative correlation
Two factors vary systematically in opposite directions, increasing or decreasing in size
meta-analysis
draws conclusions from multiple studies examining same or similar topic
naturalistic observation
collection of data without manipulation of the environment
Advantage: study the behavior in natural settings-more “real”
Disadvantages: researcher cannot control the variables
hypothesis
offers a testable prediction that will either be validated or rejected by research
falsifiable (pertaining to hypotheses)
must be able to be disproven by observation or experiment
operational definitions
how variables will be measured in numerical form
central tendency
Single number that presents some information about the “center” of a frequency distribution (mean, median, mode)
variation
the differences and changes in behavior, thoughts, emotions, and other attributes among individuals or groups
percentile rank
percentage of scores in a distribution that fall above or below a certain score
mean
sum Of a set of scores in a distribution divided by the number of scores (most representative measure of central tendency)
median
the score that divides a frequency distribution in half (same number of scores lie on each side of median)
mode
most frequently occurring score in a distribution
range
measure of variability (highest score in a distribution minus lowest score; information on extremes)
normal curve
symmetrical bell-curve in which the mean, median, and mode are exactly in the middle and the same
positive skew
an asymmetrical distribution in which more scores occur on the left side of the distribution graph (more scores are low, mean is higher than mode)
negative skew
More scores occur on the right side of the distribution graph (more scores are high; mean is less than mode)
bimodal distribution
distribution in which scores fall in such a way where there are two frequently occurring peaks
standard deviation
Measure of variability that helps determine how much the data differs from each other (each SD represents 68% of participants fall plus or minus that number)
regression toward the mean
tendency for very high or very low scores to become more moderate when retested over time
sample
subset of individuals from a larger population to study and draw inferences about the entire population
population
total group of individuals that share specific characteristics relevant to a study
representative sample
samples in which subgroups are represented proportionally (age, gender, race, ability) to ensure similarity
random sampling
everyone in population being studied has an equal chance of being picked as a participant
~helps ensure a representative sample (random number generator, pick names out of a hat)
convenience sampling
selected for inclusion due to easy access
Advantages: saves money, time, and resources
Disadvantages: may not be typical of general population — findings may not apply to other groups
generalizability
extent to which research findings can be applied to different people, situations, and contexts beyond the original study
experimental group
group exposed to independent variable
control group
key group that is NOT exposed to the independent variable
placebo
experimental results caused by expectations alone
placebo effect
power of expectations that influence thought processes and behaviors
single-blind study
if the patient OR the researcher knows which group certain variables are in but the other is ignorant of the fact (singular person knows)
double-blind study
neither the participants nor the researchers know who is in which group (eliminates bias)
experimenter bias
unintentional influence of experimenter’s expectations, beliefs, or preconceived notions on the outcome of a study
sampling bias
systematic error that occurs when the collected sample does not accurately represent the entire population being studied
social desirability bias
when survey respondents provide answers according to society’s expectations, rather than their own beliefs or experiences
qualitative research/measures
produced a result that is described in words
Qualitative Interview: uses a conversational approach to gather detailed information about people’s experiences, attitudes, beliefs, and perceptions
structured interviews
planned, standardized way of interviewing where the same questions are asked to all participants in the same order, and the responses are rated using a standardized system
quantitative research/measures
produce a result that is described with numbers
Structured Interview: planned, standardized way of interviewing where the same questions are asked to all the participants in the same order, and the responses are rated using a standardize system
Likert scales
strongly agree, agree, neutral, disagree, strongly disagree
peer review
research psychologists with similar backgrounds evaluate the study to point out flaws, confounding variables, or varying perspectives of conclusion
replication
allows exact same study with exact methods/operational definitions to be performed multiple times and then combine data
scatterplot
graph that shows any correlation between the independent and dependent variables by plotting points and forming a trend line
correlation coefficient is the
Numerical indication of magnitude and direction of the relationship (the correlation) between two variables
effect sizes
degree to which the data is
statistical significance
differences may be caused by chance fluctuations or a study’s variables
~probability smaller that 0.05 means data is NOT due to CHANCE
directionality problem (in correlation)
when the cause and effect can be switched
ex: sleeping and happiness are correlated, so does that mean happiness causes more sleep
third variable problem (correlation)
when a third variable is the true cause of the correlation between two unrelated variables
ex: eating ice cream and murder are positively correlated
institutional review
studies must be approved by IRB (humans) or IACUC (animals) and follow APA guidelines
informed consent
participation must be voluntary and informed
informed assent
participation must be voluntary and informed
protections from harm (maleficence)
no harm should be inflicted on participants (no pain, trauma, anxiety, or damage)
confidentiality
reasonable precautions must be taken to protect the personal info of participants
deception
only can be used absolutely necessary to evaluate the theory properly
~deceived participants must be debriefed (explanation regarding purpose) as quickly as possible
debriefing
Post-study process where researchers provide participants a fill explanation of research (deception *if used) and address any potential negative effects