NUR 200: EXAM 1
Study online at https://quizlet.com/_hownhv
1. Levels of measurement nominal -> ordinal -> interval -> ratio
from lowest to highest
2. nominal The lowest level of measurement in which values are names for cate-
gories, but not real numbers
3. What can nominal data categorical data
also be called?
4. Nominal characteris- - data categories must be exclusive (will fit in only one category)
tics - data categories must be exhaustive (will fit into at least one category)
Ex. Gender, race/ethnicity, colors, etc.
5. Ordinal values can be ranked but not measured
6. Ordinal characteristics - categories must be exhaustive and mutually exclusive
- each category must be recognized as higher or lower or better or worse
than another category
- You do not know exactly how much higher or lower one subject's score
is in relation to another subject's score
Ex. pain levels, satisfaction levels
7. Nonparametric or Dis- used to analyze nominal and ordinal level variables to examine relation-
tribution-free analysis ships among variables, and determine differences between groups in
techniques distribution-free or non-normally distributed samples
8. Nonparametric or Dis- - values need not be normally distributed (not a perfect bell curve)
tribution-free analysis - The level of measurement is usually ordinal or nominal
techniques assump-
tions
9. mean, median, mode
, NUR 200: EXAM 1
Study online at https://quizlet.com/_hownhv
measurement of cen-
tral tendency
10. Measurement of cen- mode (most frequently occurring in a data set)
tral tendency for NOM-
INAL level data
11. Measurement of cen- median (middle value in a data set)
tral tendency for ORDI-
NAL level data
12. Interval The distances between intervals of the scale are numerically equal, but
there is no absolute zero
13. Interval characteristic - There is no absolute zero
- The score of zero does not indicate that the property being measured
is absent
- continuous variables
Ex. temperature (Celsius)
14. Ratio The highest form of measurement, numerically equal intervals on the
scale, with the presence of an absolute zero
15. ratio characteristics - numerically equal intervals of a scale
- There is an absolute zero
- continuous variables
Ex. Pulse, blood pressure, age
16. parametric statistics Analysis techniques are conducted on interval and ratio levels of data to
describe variables, examine relationships among variables, and deter-
mine the difference between groups
, NUR 200: EXAM 1
Study online at https://quizlet.com/_hownhv
17. parametric statistics - distribution of scores is expected to be a normal distribution or approx-
assumptions imately normal
- variables are continuous, measured at the interval or ratio level
- data can be treated as though they were obtained from a random
sample
18. Significant Results results that align with the outcomes predicted by the researcher and their
team
19. How are significant re- by * or p values that are less than or equal to alpha, which is 0.05!! (d0.05)
sults identified
20. population A particular group of elements or individuals who are being studied (ex.,
people with diabetes, central catheters, or overweight children)
21. target population the whole group you want the study to describe, determined by sampling
criteria
22. accessible population the available potential study participants within the target population
23. sample focus of a particular study
24. study elements participants, subjects, objects, or events that might be included in the
sample for a study
Study online at https://quizlet.com/_hownhv
1. Levels of measurement nominal -> ordinal -> interval -> ratio
from lowest to highest
2. nominal The lowest level of measurement in which values are names for cate-
gories, but not real numbers
3. What can nominal data categorical data
also be called?
4. Nominal characteris- - data categories must be exclusive (will fit in only one category)
tics - data categories must be exhaustive (will fit into at least one category)
Ex. Gender, race/ethnicity, colors, etc.
5. Ordinal values can be ranked but not measured
6. Ordinal characteristics - categories must be exhaustive and mutually exclusive
- each category must be recognized as higher or lower or better or worse
than another category
- You do not know exactly how much higher or lower one subject's score
is in relation to another subject's score
Ex. pain levels, satisfaction levels
7. Nonparametric or Dis- used to analyze nominal and ordinal level variables to examine relation-
tribution-free analysis ships among variables, and determine differences between groups in
techniques distribution-free or non-normally distributed samples
8. Nonparametric or Dis- - values need not be normally distributed (not a perfect bell curve)
tribution-free analysis - The level of measurement is usually ordinal or nominal
techniques assump-
tions
9. mean, median, mode
, NUR 200: EXAM 1
Study online at https://quizlet.com/_hownhv
measurement of cen-
tral tendency
10. Measurement of cen- mode (most frequently occurring in a data set)
tral tendency for NOM-
INAL level data
11. Measurement of cen- median (middle value in a data set)
tral tendency for ORDI-
NAL level data
12. Interval The distances between intervals of the scale are numerically equal, but
there is no absolute zero
13. Interval characteristic - There is no absolute zero
- The score of zero does not indicate that the property being measured
is absent
- continuous variables
Ex. temperature (Celsius)
14. Ratio The highest form of measurement, numerically equal intervals on the
scale, with the presence of an absolute zero
15. ratio characteristics - numerically equal intervals of a scale
- There is an absolute zero
- continuous variables
Ex. Pulse, blood pressure, age
16. parametric statistics Analysis techniques are conducted on interval and ratio levels of data to
describe variables, examine relationships among variables, and deter-
mine the difference between groups
, NUR 200: EXAM 1
Study online at https://quizlet.com/_hownhv
17. parametric statistics - distribution of scores is expected to be a normal distribution or approx-
assumptions imately normal
- variables are continuous, measured at the interval or ratio level
- data can be treated as though they were obtained from a random
sample
18. Significant Results results that align with the outcomes predicted by the researcher and their
team
19. How are significant re- by * or p values that are less than or equal to alpha, which is 0.05!! (d0.05)
sults identified
20. population A particular group of elements or individuals who are being studied (ex.,
people with diabetes, central catheters, or overweight children)
21. target population the whole group you want the study to describe, determined by sampling
criteria
22. accessible population the available potential study participants within the target population
23. sample focus of a particular study
24. study elements participants, subjects, objects, or events that might be included in the
sample for a study
