Data can be classified by different measuring levels which determine how will the data be
summarized and presented. These levels stablish statistic testscan be made. There are four
measuring levels: nominal, ordinal, interval, and measurement of reason
Ordinal Level Data
For this measurement level, a
qualitative variable or atribute is
classified or graded on a relative
scale.The data recorded in the
ordinal level of measurement is
based on a classification or a relative
rating of based items in a defined
attribute or quantitative variable,
variables that are based on this level
of measurement only are classified or
are counted.
Ratio level data
All the quantitative data are recorded in the level of
reason of measurement. the level of reason is the
"highest", possesses all the characteristics of
interval-level, but, in addition, zero point has sense
and the ratio between two numbers is significant.
The data recorded in the level of ratio of the
measurement are based on a scale that has a known
unit of measure and a meaningful interpretation of
zero.
Nominal level data
In this case of nominal levels of measurement,
the observations of a qualitative variable can
be measured and registered as labels or
names which can only be classified and
calculated. They don’t have any order.
Interval level data
The measurement interval level is the is
the superior immediate level includes
all the features of the ordinal level; In
addition, the difference or interval
between values is significant. Interval or
distance between the values of the data
registered in the measuring interval
level is significant. the level of
measurement interval is based on a
scale with a unit known as
measurement.