NUR 200: EXAM 2 UPDATED ACTUAL Questions and
CORRECT Answers
questions for this set
Learn 1 /7 Study with Learn
1. nature of the researcher
2. nature of the study
3. nature of the statistical theory.
Choose an answer
Levels of measurement from lowest to
1 Research Suitability Factors 2
highest
3 Ratio 4 Ordinal characteristics
Don't know?
Terms in this set (163)
Levels of measurement from nominal -> ordinal -> interval -> ratio
lowest to highest
, nominal You can count, but not order or measure, the lowest form
- data categories must be exclusive
Nominal characteristics - data categories must be exhaustive
Ex. Gender, race/ethnicity, colors, etc.
Ordinal values can be ranked but not measured
- categories must be exhaustive and mutually exclusive
- each category must be recognized as higher or lower or
Ordinal characteristics 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
Nonparametric or Distribution- used to analyze nominal and ordinal level variables to
free analysis techniques examine relationships
Nonparametric or Distribution- - values need not be normally distributed
free analysis techniques - the level of measurement is usually ordinal or nominal
assumptions
measurement of central mean, median, mode
tendency
Measurement of central mode (most frequently occurring in a data set)
tendency for NOMINAL level
data
Measurement of central median (middle value in a data set)
tendency for ORDINAL level
data
The distances between intervals of the scale are numerically
Interval
equal
- There is no absolute zero
- The score of zero does not indicate that the property
Interval characteristic being measured is absent
- continuous variable
Ex. temperature (Celsius)
Ratio The highest form of measurement
- numerically equal intervals of a scale
- There is an absolute zero
ratio characteristics
- continuous variables
Ex. Pulse, blood pressure, age
Analysis techniques conducted on interval and ratio levels of
parametric statistics data to describe variables, examine relationships among
variables, and determine dthe ifference between groups
- distribution of scores is expected to be a normal
distribution or approximately normal
- variables are continuous, measured at the interval or ratio
parametric statistics assumptions
level
- data can be treated as though they were obtained from a
random sample
results that align with the outcomes predicted by the
Significant Results
researcher and their team
CORRECT Answers
questions for this set
Learn 1 /7 Study with Learn
1. nature of the researcher
2. nature of the study
3. nature of the statistical theory.
Choose an answer
Levels of measurement from lowest to
1 Research Suitability Factors 2
highest
3 Ratio 4 Ordinal characteristics
Don't know?
Terms in this set (163)
Levels of measurement from nominal -> ordinal -> interval -> ratio
lowest to highest
, nominal You can count, but not order or measure, the lowest form
- data categories must be exclusive
Nominal characteristics - data categories must be exhaustive
Ex. Gender, race/ethnicity, colors, etc.
Ordinal values can be ranked but not measured
- categories must be exhaustive and mutually exclusive
- each category must be recognized as higher or lower or
Ordinal characteristics 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
Nonparametric or Distribution- used to analyze nominal and ordinal level variables to
free analysis techniques examine relationships
Nonparametric or Distribution- - values need not be normally distributed
free analysis techniques - the level of measurement is usually ordinal or nominal
assumptions
measurement of central mean, median, mode
tendency
Measurement of central mode (most frequently occurring in a data set)
tendency for NOMINAL level
data
Measurement of central median (middle value in a data set)
tendency for ORDINAL level
data
The distances between intervals of the scale are numerically
Interval
equal
- There is no absolute zero
- The score of zero does not indicate that the property
Interval characteristic being measured is absent
- continuous variable
Ex. temperature (Celsius)
Ratio The highest form of measurement
- numerically equal intervals of a scale
- There is an absolute zero
ratio characteristics
- continuous variables
Ex. Pulse, blood pressure, age
Analysis techniques conducted on interval and ratio levels of
parametric statistics data to describe variables, examine relationships among
variables, and determine dthe ifference between groups
- distribution of scores is expected to be a normal
distribution or approximately normal
- variables are continuous, measured at the interval or ratio
parametric statistics assumptions
level
- data can be treated as though they were obtained from a
random sample
results that align with the outcomes predicted by the
Significant Results
researcher and their team
