DATA
COLLECTION
4.1 Meaning of data collection
4.2 Importance of data collection
4.3 Types of data
4.4 Source of data collection
4.1-Meaning of Data Collection
-Data
is the values collected through record-keeping or polling, observing or measuring.
-Data
is facts, texts or numbers that can be collected.
-Data
may be in the form of transcripts of interviews, maps, photographs and
videotapes of social interaction.
-The
process of gathering and analysing accurate data from various sources to find
answer to research problems, trends and probabilities etc. to evaluate possible
outcomes is known as Data Collection.
-Information
is the processed data. It refers to a body of facts in a format that facilities
decisions making or that defines relationship between pieces of data.
4.2-Importance
of Data Collection
-Data
helps to make better decisions.
-Data
helps to identify problems.
-Data
allows to develop accurate theories.
-Data
will backup arguments.
-Data
makes approach strategic.
-Data
saves time.
-Data
speaks how the things are going.
-Data
improves quality of life.
4.3-Types
of Data
1.) Subjective Data
-Qualitative
data are subjective data.
-Subjective
data can’t be measured.
-Typically
consider less accurate.
2.) Objective Data
-Quantitative data are
objective data.
-Objective data can be
measured.
-Generally consider
more accurate and prioritized.
3.) Quantitative Data
-Quantitative data
refers to any information that can be quantified, counted or measured and given
a numerical value.
4.) Qualitative Data
-Qualitative data is
descriptive in nature, expressed in terms of language rather than numerical
value.
5.) Primary Data
-Primary data is
original data gather by the researcher for the research project at hand.
6.) Secondary Data
-Secondary data is
defined as data collected earlier for a purpose other than the current being
pursed.
-Secondary data is
often in the form of raw data and published material.
4.4-Sources
of Data Collection
a. Primary
sources
b. Secondary
sources
- Internal
sources
- External
sources
Importation Consideration for Data
Collection
-Cost
-Implementation
Time
-Availability
of Sample
-Response
Rate
-Technology
available
-Sensitive
Questions
-Size
and Complexity