Statistics (Quantitative) Research Cycle forms a comprehensive
and integrated method of analysis that tests "what we really know
for sure".
There are several steps that constitute the procedure of
statistical analysis including everything. They can be summarized
into 6 steps as follows :
- Study Objective : This includes identifying objective of the
study, deciding the study design, promoting research and executing
it. This includes designing the study questionnaire according to
the objective.
- Methods for collecting data : An appropriate sample size is
chosen to study the entire population pattern. E.g,
research(primary, secondary), interviews, group discussions,
identifying participants, survey, forms, etc.
- Data reduction : Data's dimensions are reduced to extract
meaningful variables or features that should be studied for the
objective and understanding their type i.e, nominal, categorical,
ordinal, numerical, etc.
- Descriptive Statistics : This is used to summarize the basic
features of the data through measures of central tendency (e.g,
mean, median, mode, variance, skewness, kurtosis, presence of
outliers, etc). The data is also visualised for the same using
histogram, boxplot, etc.
- Inferential Statistics : This goes beyond the descriptives of
the data. It is used to study the relationship among the variables,
compare with population parameters using hypothesis testing by
defining level of significance using appropriate test statistics.
E.g, correlation coefficient, t-test, null vs alternative
hypothesis, etc.
- Discussing results and drawing conclusions : After all the
analysis, conclusions are drawn. Also, limitations are discussed
for better solution.