Quantitative Research Method for Social Scientists

Quantitative research method for social scientist

TABLE OF CONTENTS
1. Four level of measurement......................................................................................................3
2. Measure of central tendency and measure of dispersion.........................................................3
3. Difference between descriptive and inferential statistics........................................................4
4. Explaining the terms................................................................................................................4
5. Interpretation............................................................................................................................5
REFERENCES................................................................................................................................6

1. Four level of measurement
There are four level of measurement which are as mentioned below:
 Nominal: This is mainly categories the data by labelling in an exclusive groups, however
there is no specific order between the same. For example, city of birth, gender, ethnicity
can be measured under this level of measurement.
 Ordinal: Under this, scholar can rank a data in an order but there is no specific interval
between the rankings (Abu-Bader and Jones, 2021). Therefore, a scale type of data can be
collected which is mainly used in the quantitative data. For example, likert type question
in which 5 different type of options are available.
 Interval: It is another level of measurement in which equal interval between success data
points in which no zero point. For example, test score which is used in the exams in order
to ascertain the answer (Kulas, Roji and Smith, 2021). Also, temperature in Fahrenheit
and Celsius is also considered under this level.
 Ratio: Height, weight and age are considered as an example in this type of measurement
where zero cannot be determine under the value. In this type of data, annual incomes of
the participants.
2. Measure of central tendency and measure of dispersion
Central tendency is a central or a typical value for a probability distribution in which
mean, mode and median are considered to evaluate tendency. Further, each of these measures are
describe different indication of a central value within a distribution (Chakrabarty, 2021). With
the help of this, individual determine the average set of data and condense the data set into a
smaller form to evaluate the results in an effective manner. That is why, in quantitative study,
central tendency is used which in turn assist to derive the better outcome and conclude the results
as well.
On the other side, measure of dispersion assist to interpret the variability of a data in
which range, interquartile range and standard deviation are used. In addition to this, a measure of
dispersion indicate how the data is scattered and also explain the disparity of a data in order to
identify the data is varies from each other (André, Reinholtz and De Langhe, 2022). This is
simple to understand and also based upon the observation of all series, also, it is not affected by