NURS 5366 TRAINING STUDY SHEET 2026
UPDATED QUESTIONS AND ANSWERS
◉Stability. Answer: The consistent or enduring quality of the
measure
◉Valid. Answer: Accurate
◉Alpha (a). Answer: the chance of making a type one error
◉Beta (B). Answer: the chance of making a type two error
◉Chapter 7. Answer: SAMPLE SIZE, EFFECT SIZE, AND POWER
◉Effect size. Answer: the extent to which a difference/relationship
exist between variables in a population (the size of the difference
you are attempting to find)
- degree to which the phenomenon is present in the pop. or the
degree to which the null hypothessis is false
, small effect size- require larger samples to detect these small
differences
◉Power analysis. Answer: how sample sizes are calculated
◉Power. Answer: The ability to find a difference or an association
when one actually exists
- inverse of Type II error and is calculated as 1- B.
- if power is high, it strengthens meaning of finding
- if power is low, researchers need to address this issue in the
discussion of limitations and implications of the study findings.
◉Type one error. Answer: the error made when a researcher
incorrectly rejects the null hypothesis, when he or she concludes
there is a significant relationship but there really is not
◉Degrees of freedom (df). Answer: number values that are "free to
be unknown"
◉Type two error. Answer: the error made when a researcher
accepts the null incorrectly, missing an association that is really
UPDATED QUESTIONS AND ANSWERS
◉Stability. Answer: The consistent or enduring quality of the
measure
◉Valid. Answer: Accurate
◉Alpha (a). Answer: the chance of making a type one error
◉Beta (B). Answer: the chance of making a type two error
◉Chapter 7. Answer: SAMPLE SIZE, EFFECT SIZE, AND POWER
◉Effect size. Answer: the extent to which a difference/relationship
exist between variables in a population (the size of the difference
you are attempting to find)
- degree to which the phenomenon is present in the pop. or the
degree to which the null hypothessis is false
, small effect size- require larger samples to detect these small
differences
◉Power analysis. Answer: how sample sizes are calculated
◉Power. Answer: The ability to find a difference or an association
when one actually exists
- inverse of Type II error and is calculated as 1- B.
- if power is high, it strengthens meaning of finding
- if power is low, researchers need to address this issue in the
discussion of limitations and implications of the study findings.
◉Type one error. Answer: the error made when a researcher
incorrectly rejects the null hypothesis, when he or she concludes
there is a significant relationship but there really is not
◉Degrees of freedom (df). Answer: number values that are "free to
be unknown"
◉Type two error. Answer: the error made when a researcher
accepts the null incorrectly, missing an association that is really
