A researcher non-randomly recruits participants until predetermined category numbers are filled. This is:
Quota sampling fills non-random categories.
Quota sampling fills non-random categories.
Snowball sampling uses participant referrals.
Purposive sampling selects based on purpose.
Convenience sampling uses easy-to-access participants.
Cluster sampling selects whole groups.
Disproportionate means sample sizes differ from population proportions.
Disproportionate stratification does not match population proportions.
Proportionate sampling reflects population proportions.
Stratification ensures subgroup representation.
Stratified sampling selects from subgroups.
Systematic sampling selects at regular intervals.
Simple random sampling gives equal chance to all.
A sample is a subset of the population.
The population is the entire target group.
General patterns can generate hypotheses.
Statistical significance is not a source of hypotheses.
A hypothesis with multiple variables is complex.
Associative hypotheses state relationships; causal hypotheses state cause-effect.
Causal hypotheses propose cause and effect.
A null hypothesis states no relationship or no difference.
No predicted direction means non-directional.
A predicted direction makes it directional.