Methods of collecting primary and secondary data.
In Statistics, the data collection is a process of gathering
information from all the relevant sources to find a solution to the research
problem. It helps to evaluate the outcome of the problem.
Most of the organization uses data collection methods to make
assumptions about future probabilities and trends. Once the data is collected,
it is necessary to underdo the data organization process.
The data collection method is divided into two categories
namely,
- Primary
Data Collection methods
- Secondary
Data Collection methods
let us discuss the different types of data collection methods
and their advantages and limitations
1. Primary Data Collection Methods
Primary data or raw data is a type of information that is
obtained directly from the first-hand source through experiments, surveys, or
observations. The primary data collection method is further classified into two
types. They are
- Quantitative
Data Collection Methods
- Qualitative
Data Collection Methods
Quantitative Data Collection Methods
It is based on mathematical calculations using various formats
like close-ended questions,Correlation and regression methods, mean, median or mode
methods. This method is cheaper than qualitative data collection methods, and
it can be applied in a short duration of time.
Qualitative Data Collection Methods
It does not involve any mathematical calculations. This method
is closely associated with elements that are not quantifiable. This qualitative
data collection method includes interviews, questionnaires, observations, case
studies etc.
There are several methods to collect primary data. They are
1.
Observation Method
Observation method is used when the study relates to behavioural
science. This method is planned systematically. It subjects many controls and
checks. The different types of observations are:
(a) Structured
and unstructured observation: when a is characterized by careful definition of
units to be observed, style of observer, conditions for observation and
selection of pertinent data of observation it is a structured observation. When
there characteristics are not thought of in advance or not present it is a
structured observation.
(b) Controlled(laboratory)
and uncontrolled(exploratory) observation: If the observation takes place in
the natural setting it is a uncontrolled observation but when observer takes
place according to some pre-arranged plans, involving experimental procedure it
is a controlled observation.
(c) Participant,
non-participant and disguised observation.
Ø
Advantages:
·
Subjective bias is eliminated
·
Data is not affected by past behaviour or future intentions
·
Natural behaviour of the group can be recorded
Ø
Limitations:
·
Expensive methodology
·
Information provided is limited
·
Unforeseen factors may interfere with the observational task.
2.
Interview Method:
The method of collecting data in terms of oral or verbal
responses. It is achieved in two ways, such as
(A) Personal
Interview – In this method, a person known as an interviewer is required to
ask questions face to face to the other person. The personal interview can be-
·
Direct
personal investigation- The interviewer has to collect the
information personally from the service concerned.
·
Indirect
oral examination- The interviewer has to cross examine other persons who are
suppose to have a knowledge about the problem.
·
Structured
Interviews-Interviews involving the use of pre-determined questions and of
highly standard techniques of recording.
·
Unstructured
Interviews: It does not fallow a system of pre-determined questions and is characterized
by flexibility of approach to questioning.
·
Focused
interview- It is meant to focus
attention on the given experience of the respondent and its effect. The interviewer
may ask questions in any manner or
sequence with the aim to explore reason and motives of the respondent.
·
Clinical
interviews- It is concerned with broad underlying feeling and motives or
individuals life experience which are used as method to ellict information
under this method at the interviewer direction.
·
Non directive
interview-The interviewers function is to encourage the respondent to talk
about the given topic with the a bare minimum of direct questioning.
Advantages-
·
More information and in depth can be obtained
·
Samples can be controlled
·
There is greater flexibility under this method
·
Personal information can as well be obtained
Limitations
·
It is an expensive method.
·
Possibility of bias interviewer or respondent.
·
More time consuming.
·
Possibility of imaginary info and less frank responses.
·
High skilled interviewer is required.
(B) Telephonic Interview – In
this method, an interviewer obtains information by contacting people on the
telephone to ask the questions or views orally.
Ø
Adventages-
·
It is fast , flexible and cheaper than other methods.
·
Recall is easy and there is a higher rate of response.
·
No field staff is required.
Ø Limitations-
·
Interview period exceed five minutes maximum which is less.
·
Questions have to be short and to the point.
·
Less information can be collected
3.
Questionnaire Method:
In this method, the set of questions are mailed to the
respondent. They should read, reply and subsequently return the questionnaire.
The questions are printed on the definite order on the form. A good survey
should have the following things:
- Short
and simple
- Should
follow a logical sequence
- Provide
adequate space for answers
- Avoid
technical terms
- Should
have good physical appearance such as colour, quality of the paper to
attract the attention of the respondent
Ø
Adventages-
·
Free from bias of interviewer
·
Respondents have adequate time to give answers
·
Respondents are easily and conveniently approachable
·
Large samples to be used to be more reliable
Ø
Limitations-
·
Low rate of return of duly
filled Questionnaire
·
It is inflexible once sent
·
Time taking and slow process
4.
Schedules:
This method is similar to the questionnaire method with a slight
difference. The enumerations are specially appointed for the purpose of filling
the schedules. It explains the aims and objects of the investigation and may
remove misunderstandings if any have come up. Enumerations should be trained to
perform their job with hard work and patience.
2. Secondary Data Collection Methods
Secondary data is data collected by someone other than the
actual user. It means that the information is already available, and someone
analyses it. The secondary data includes magazines, newspapers, books, journals
etc. It may be either published data or unpublished data.
Published data are available in various resources including
- Government
publications
- Public
records
- Historical
and statistical documents
- Business
documents
- Technical
and trade journals
Unpublished data includes
- Diaries
- Letters
- Unpublished
biographies or works etc.
Before using secondary data, it must be
checked for the following characteristics-
1.
Reliability
of data: Certain Questions to be checked
Who collected the data?
From what source?
Which method?
Time?
Possibility of bias?
Accuracy?
2.
Suitability
of data: The object, scope and nature of the original enquiry must be studies
and then carefully scrutinize the data for suitability.
3.
Adequacy: The
data is considered inadequate if the level of accuracy achieved in data is
found inadequate or if they related to an area which may be either narrower or
wider than the area of the present enquiry.
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A. R Statistics
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