Analytical and Descriptive Research


Analytical vs Descriptive Research Methodology

Analytical research in summary has the purpose of evaluating, comparing and analyzing the matter or data being researched, in contrast to the descriptive research which concentrates on presenting the facts and information about the subject.

3 Types of Analytical research method:

• Regression Analysis research: The analytical research is further subdivided into Logistic, Linear hierarchal, Duration and Ordinary least squares (OLS) methods due to the data elements effect on the analytics outcome.
• Grouping Analysis research: this type of analytics is based on arranging the data into groups according to data or element characteristics.
• Multiple Equation method: can be classified into 1) Path analysis and 2) SEM-structural equation models that is basically a deeper description of the regression analytical method.

3 Types of Descriptive research method:

• Observation Method: carry the research on both the natural existence and the laboratory setting. It can also be like in vivo and invitro to drive analytics.
• Case Study Method: takes the research more personal to a specific matter needed to be further analyzed.
• Survey Method: the participants answer certain questionnaire which in turn are processed in an analytical way to get the result.

Another classification for the Descriptive research is as the following:

1.Case study
2.Case series study
3.Cross-sectional study
4.Longitudinal study
5.Retrospective study

Table of difference between the Analytical and Descriptive Research:

Analytical Research
Descriptive Research
Used when the various aspects of the research subject are available
Used when little is known about the research subject
Rely on development of new data
Rely on preexisting data
Collected data is analyzed and explained
Survey methods and fact-finding enquires
Why
When, where and who
Hypothesis needed
No Hypothesis needed
Beyond merely describing the characteristics
Ascertains and describes the characteristics
Explains existing affairs from available data
Describes the state of affairs as it exists in the present
Works within the constraint’s variables
No control over the variables
Evaluates the causality of associations
Illustrates potential associations