Setting up good research Flashcards
Population
all possible individuals that make up a group of interest
Sample
a subgroup is chosen from a larger population
Generalization, representativeness
ability to apply findings from the sample to a larger population (external validity)
Sampling
random or nonrandom
Types of sampling
- probability sampling
- simple random sampling
- stratified sampling
- proportionate sampling
- systematic sampling
- cluster sampling
Research setting
laboratory or field research
Threats to internal validity
history, maturation, regression towards the mean, biased selection of subjects, experimental mortality
Threats to external validity
reactive testing, selection biases, interference of multiple treatments
Probability sampling
each member of the population has equal chance
Simple random sampling
certain number of individuals from the population is chosen by chance
Stratified sampling
the population is divided into segments (strata), then random sample from each strata
Proportionate sampling
subjects represent the percentage of real existing groups
Systematic sampling
every kth element is chosen
Cluster sampling
naturally occuring groups, randomly select clusters and then individuals (multistage sampling)