A hypothesis proposes a cause-and-effect interaction between variables. It is specifically a:
Causal hypotheses propose cause and effect.
Causal hypotheses propose cause and effect.
Associative hypotheses state relationships; causal hypotheses state cause-effect.
A hypothesis with multiple variables is complex.
Statistical significance is not a source of hypotheses.
General patterns can generate hypotheses.
The population is the entire target group.
A sample is a subset of the population.
A null hypothesis states no relationship or no difference.
KR-20 is for binary-scored items.
KR-20 is appropriate for right/wrong items.
A simple hypothesis has one IV and one DV.
A predicted direction makes it directional.
No predicted direction means non-directional.
Consistency does not guarantee validity.
Test-retest reliability repeats the same test over time.
Stable traits are suitable for test-retest reliability.
Parallel forms use two equivalent test versions.
Split-half reliability divides one test into halves.
Parallel forms use two versions; split-half uses one test divided.
Interrater reliability concerns agreement among raters.
Criterion validity uses an external benchmark.