Meaning of data collection, Types of Data, Advantages and Disadvantages

2.  Data collection is the
process of
› Gathering and
› Measuring
information;
for research, analysis,
or statistical
purposes.

3.  It involves identifying
› Relevant data
sources,
› Selecting appropriate
data collection
methods, and
› Organizing the
collected data for
analysis.

4.  Qualitative Data
› Non-Numerical In Nature
Interviews Observation
Open-Ended
Surveys

5.  Quantitative Data
› Numerical
information that can
be measured or
counted
1. Survey ratings
2. Test Scores
3. Sales figures

6. Primary Data
›Data collected first-hand for a
specific research purpose.
1. Surveys 3. Interviews
2. Experiments 4. Observations

7.  Secondary Data
› Data collected by
someone else for a
different purpose but
can be reused for
research.
1. Books
2. Articles
3. Databases
4. Govt. reports

8.  Categorical Data
› Data that can be grouped into
categories or labels
1. Gender
2. Nationality
3. Product Type

9.  Numerical Data
› Data that can be measured and
expressed in numbers
1. Age
2. Height
3. Income

10.  Time Series Data
› Data collected over regular intervals of
time, allowing analysis of trends and
patterns.
 Spatial Data
› Data that includes geographic
information, such as maps or
coordinates.

11.  Data Analysis
› Data can be analyzed to gain insights,
identify trends, make predictions, or
support decision-making processes.
 Research
› Data can be used for academic or
scientific research purposes, contributing
to the advancement of knowledge in
various fields.

12.  Business Intelligence
› Data analysis can provide valuable
insights for businesses to :
(i) Optimize operations
(ii) Identify market trends
(iii) Improve customer satisfaction

13.  Accuracy
› Collecting data directly allows
researchers to ensure the accuracy
and relevance of the information.
 Specificity
› Primary data collection allows
researchers to target specific
information needed for their research
objectives.

14. Control
›Researchers have control
over the data collection
process, ensuring data
quality and consistency.

15. None
But be careful about:
1. Time
2. Cost
3. Bias