Research Methods Flashcards
Population
group to generalize to
Sample
subset of the population
Dependent Variable
the fact researcher is interested in explaining
Independent Variable
variable used to explain the one dependent or causally prior to dependent variable
Manipulation
when experimenter can intentionally create variation in independent variable (ie amount of funding)
Confounding Variable
Rival explanations for behavior of dependent variable
Subjects
units observations are made (regions, municipalities, etc.)
Control
set of data with which treatment group is compared
Randomization
subjects have equal chance of being assigned to treatment group or control group, purely by chance
Internal Validity
program rather than other factor caused results
External Validity
can the effect be excepted under similar conditions in other settings
Non-probability Sampling
convenience sampling - those accessible; volunteer sampling - volunteers. OK for descriptive results, may be bias, not representative of population.
Simple random (probability sampling)
Individual has equal chance of being selected for sampling
Systematic (probability sampling)
every Xth individual selected from list, starting at a random starting point
Stratified (probability sampling)
population may have two or more groups in study - provides best results. Ensures even coverage of population. Maintains random selection probabilities