Information
is an important factor to any business organisation in a sense that businesses
use information gathered to support the day-to-day operations, decision making
and also in all the functional areas in a business and it has a vital role to
play with an organisation.
Firstly,
information as an important tool to any business organisation stand as a link
between the business and the target population due to the fact that if an
organisation have gotten quality and accurate information before carrying out a
new product to the market the product will sale because that business has done
a thorough market research within the industry they operate, customers and
sales representatives. (Chirantan, 2015)
Furthermore,
with accurate information the business will be able to cut cost maybe in the
cost of purchasing a machinery for the business and to also improve on their
initial performance within the industry i.e. with the kind goods or service
they render, this will also help the business gain and maintain a sustainable
competitive advantage in the marketplace and quality information can help a
business operational and financial flexibility to grow locally and
internationally.
In
summary, information serves as a tool that stands between the success and
failure of any business organisation and even to individuals. Information is
important to organisation because it helps them to know the kind of product
they take into the marketplace and this will help them to cut cost both
internally and externally and also a source form the organisation to grow
globally.
The
aim of this discussion is to give researchers and business organisation an
insight on how to go about in picking their samples in order for them to have a
clear view of which of the sampling method that will be more suitable for their
research.
Simple Random Sampling:
(Trochim, 2002) this method of sampling is the most
instinctive sampling methodology. It is a method in which every population has
equal opportunity to be randomly picked and this is a bias free sample method.
Samples in the population are either chosen with replacement or without
replacement and the selection of a particular unit to be sampled is not
influenced by the other units that have been selected or will be selected.
Example in a class of 10 females and 20 males and the lecturer needs a female
and a male which he has nobody in mind to call he has to use this method in selecting
out of the whole population.
Systematic Sampling: systematic
sampling, either by itself or in combination with some other method, may be the
most widely used method of sampling (Levy, 1999) this method each
unit has an equal probability of been selected, but combinations of units have
different probabilities, this technique relies on positing the target
population according to some ordering scheme and then selecting elements at
regular intervals through that ordered list. In systematic sampling it is
important that the starting point is not automatically the first in the list,
but it is randomly chosen from within the first to the kth unit in the list. The
suitable sampling can easily be identified but at the same time sample may be
biased if unseen periodicity in population coincides with that of selection.
Quota Sampling: it
involves the selection of a portion of the population being studied. In
probability sampling each unit in the population has a known non-zero chance of
being selected through the use of a random selection (Michael,
2008) .
Furthermore, in quota sampling the researcher aims to represent the major
characteristics of the population by sampling a proportional quantity of each.
Alternatively, in quota sampling
every proportions in each category must be accurate because it is difficult to
find up-to-date information on certain topics and also the selections of sample
units within a given set of the quota frame maybe biased even though the
proportion of the population is accurately estimated.
Clustered Sampling: (Saifuddin, 2009) this
methods constitutes the sampling unit, instead of a single element of the
population and is also a method in which the population is divided into groups
which are usually geographic or organisational which some of the groups are
randomly chosen and it has more error than simple random sampling but this
errors can be limited if the clusters are similar to each other and if
different from each other there will be huge error, also in using cluster
sampling it is not desirable if the clusters are different.
Data
are raw components and for businesses to be able to collect an unbiased data
they have to use the following methods of collecting data which are the
observation, interview, questionnaire and content analysis method. This work
will be explaining the observation and interview methods advantages and
disadvantage which will be a useful tool to the organisation.
OBSERVATION
METHOD
ADVANTAGES
1. First-hand Information:
The kind of information gathered in first-hand information will be the fact
because no one is telling the researcher about what he is researching for.
2. Verifies Data from other sources:
this will help the researcher to make sure that the data gotten or collected
from other sources are accurate and it really what the researcher need
3. Simple to Use:
it will be easy for the researcher to use not finding any difficulty to apply the
raw components into processed information that will be helpful to the
organisation.
4. Data can be reliable:
the data collected when observing can be reliable by the researcher because he
is carrying out this research for his/herself and by so doing whatever he
observes that is based on his research will be reliable for him even in future
purpose.
5. Opportunities from the natural
setting: this is because you are in the field on your own
and nobody is reporting to you the feedback of what is happening in that
environment and you also have access to most information which you can’t get
from your correspondent.
DISADVANTAGES
1. Presence of observer can influence
performance: this will affect the event or
environment an organisation is researching or collecting data because what the
target population would have done without fear they will not do it again
because they is someone in their mist who want to get a full detail of what is
happening in that particular environment at that time.
2. Time consuming:
this method will be time consuming for the organisation or researcher to
collate all the necessary data needed due to the fact that he may not be able
to gather a handful of information before the deadline.
3. Bias due to personal influence:
Due to the observer interest in the data it may cause the observer to give a
wrong data representation.
4. No Possibility to Interact:
In this case the observer will not have the possibility of speaking with the
target population and it will course less inflow of information.
5. Difficult to understand some
behaviours: it will result to an extent in which
the organisation or the researcher carrying out this method of collecting data
will not be able to explain or even understand the behaviour of a particular
sub-set of the target population.
INTERVIEW
METHOD
ADVANTAGES
1. Flexible:
This method is flexible because the interviewer will expect changes in the
course of asking questions or discussing on a topic
2. Accurate data information:
it will be accurate because the data collected is correct and it is quality due
to the fact that the data collected is from a reliable source.
3. Motivational:
the interviewer ways of putting questions to the interviewee might determine if
or not to answer the questions asked and if the interviewer ask questions that
are mind blowing the interviewee will be eager to respond.
4. Additional Information can be
given: the interviewee in the act of responding to
question can even give out information which can be very useful to the
organisation that is conducting the interview.
5. Capture Verbal and Non-Verbal
questions: it helps the interviewer to capture verbal and
non-verbal questions, but this most likely help capture non-verbal questions
which include body-language and this can cause discomfort with the questions.
DISADVANTAGES
1. Cost:
this is a major disadvantage of interviews, because they require a staff of
people to conduct the interviews, which means there will be personnel costs.
2. Quality of Data by Interviewer:
the quality of data receives will often depend on the interviewer, this is
because some people have the natural ability to conduct and interview and
gather data.
3. Manual Data Entry:
this will occur if the interview is administered on paper, then the data
collected will need to be entered manually or scanned if a scan-able interview
questionnaire is created.
4. Limit Sample Size:
this is as a result of gathering data from a particular subset of the target
population the organisation will not have access to even half of the sample
size targeted and by so doing their data gathered will be limited.
5. Training and Practice required:
the interviewer needs to be trained on how to ask questions during interview
and also needs to practice the questions the organisation has set for the
interview.
To
summarize, this topic it is very essential for any business. Organisation are
supposed to go into research before setting up a business in order for them to
collect useful data and they must use either of the four methods which are the
observation, interview, questionnaire and content analysis method of data
collection to collect relevant data like their target population and sampled
population.
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