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population
every individual of the entire group
parameters
calculations of a population
sample
a select # of individuals from a population
statistics
calculations of a sample
census
something that counts the population every 10 years
bias
systemically inherent part of a survey
convenience samples
physically easy
voluntary response sample
anyone who wants to participate, usually someone with a strong opinion
simple random sample (SRS)
every group of individuals has an equal chance of being chosen
stratified random sample
a population is divided into homogeneous subgroups/strata
cluster sample
a population divided into pre-existing groups
undercoverage
when certain groups within the target population are excluded or have a significantly lower representation in the sample than they do in the overall population
nonresponse
individuals do not participate or provide data
observational study
observe individuals to measure an outcome; not influencing the outcome
experiment
impose a treatment that affects the outcome
explanatory
variable we think is affecting another variablere
response
what’s being measured or observed
control
variable that does not receive the treatments so there’s something to compare to
treatment
specific condition applied to the individuals
experimental units
smallest collection of individuals to which the treatments are appliedsub
subjects
humans who are receiving a treatment
factor
split explanatory variable into smaller categories
level
specific value for a factor
randomize
assign subjects in different groups to ensure equal chance of being placed in any group, without any pattern or predictability
replication
ensuring that there are an adequate # of experimental units in each treatment group
placebo effect
a beneficial effect produced by a "fake” treatment
single-blind
either the participants or the researchers are unaware of which treatment each person is receiving
double-blind
when both the participants and the researchers are unaware of which treatment each person is receiving
blocking
a technique used in experimental design to reduce variability and improve the accuracy of results by grouping similar experimental units
matched pairs
a specific type of block design where the blocks are size 2
inference
make generalizations about a large populations
systematic random sample
selects a subset of a population at regular fixed intervals after a random starting point is chosen