The ability of this research technique to study a population through a sample in its natural setting is the rationale behind it’s use.
RESEARCH
METHODOLOGY
3.0
Introduction
This chapter deals with the methodology of the study.
It shows the various steps and procedures the researcher followed in collecting
the data for the study. It is also concerned with the instrument used for data
collected as well as methods used to analyse the data.
3.1 Research design
3.1 Research design
The method of research adopted for this study is the
survey method. The ability of this research technique to study a population
through a sample in its natural setting is the rationale behind it’s use. Asika
2008 states that the survey research design is appropriate when the researcher
does not intend to manipulate or control the subjects.In the opinion of
Ihejirika and Omego (2011), survey design involves the study of a sample taken
from a population in order to know their major characteristics which can be
generalized to the whole population.
3.2 Population of study
3.2 Population of study
The population of the study is made up of adult male
and female in Bille community. The Bille people have adopted the 1992
population census as the acceptable population of Bille following the
unspecified nature of 2006 population census figures. In their view the 1992
population census was more specific than 2006 population census because the
later only gave figures for the local government (Degema Local government area)
and did not specify the population of the various communities that make up the
local government of which Bille is part of. Based on this reason, the accepted
1992 population of the Bille people is12,830, the working population of this
study is projected to 2015. Using the exponential growth rate formula,
pt + n= pt ^(r x n)Formula for exponential growth rate
Pt + n = Year of projection (2015)
Pt = End point for computation rate of change ie the present population you are referencing.
1992 accepted population of Bille community which stands at 12,830
r = Rate of change computed.The rate of change for this study is derived from National population census commission. According to them the growth rate in Nigeria between 1991 till 2015 is at 2.3.
n = Number of time/ period you are projecting towards, in the above study 1992 to 2015 =23 ie.
n = 23 years
ACTUAL CALCULATION
Pt + n = Pt ^r x n
= 12830 x [ ^(0.023 x 23) ]
= 12830 x 1.697234225
= 21,775.50736
21,776
pt + n= pt ^(r x n)Formula for exponential growth rate
Pt + n = Year of projection (2015)
Pt = End point for computation rate of change ie the present population you are referencing.
1992 accepted population of Bille community which stands at 12,830
r = Rate of change computed.The rate of change for this study is derived from National population census commission. According to them the growth rate in Nigeria between 1991 till 2015 is at 2.3.
n = Number of time/ period you are projecting towards, in the above study 1992 to 2015 =23 ie.
n = 23 years
ACTUAL CALCULATION
Pt + n = Pt ^r x n
= 12830 x [ ^(0.023 x 23) ]
= 12830 x 1.697234225
= 21,775.50736
21,776
CROSS CHECK USING ^ = 2.71828
Pt + n = Pt ^(r x n)
Where constant e = 2.71828
= 12830 x (2.71828) (0.023 x 23)
= 12830 x (2.71828)0.529
=12830 x 1.697233622
= 21775.50736 21,776
From the above calculation, the working population of this study is 21,776
3.3 Sample and sampling procedure
Pt + n = Pt ^(r x n)
Where constant e = 2.71828
= 12830 x (2.71828) (0.023 x 23)
= 12830 x (2.71828)0.529
=12830 x 1.697233622
= 21775.50736 21,776
From the above calculation, the working population of this study is 21,776
3.3 Sample and sampling procedure
A sample, according to Jefkins and Yadin (1998),
‘means that proportion of the population or universe which is to be questioned’
(p.196). It is that segment of the population whose characteristics can be used
to judge the whole. Sampling, on its own part, involves selecting a sub-set of
people, cases, events etc. to be studied from a larger population to which they
belong (Payne and Payne, 2004). A total of 381 formed the sample size for the
study. This sample size was drawn using Philip Meyer’s population sampling
procedure (Stacks and Hocking, 1992). With respect to the importance of
representativeness for a research to be acceptable, Meyer proposes a population
sampling table to assist researchers. The table as follows:
Population Size Sample Size
Infinity 384
500,000 384
100,000 383
50,000 381
10,000 370
5,000 357
3,000 341
2,000 322
1,000 278
Source: Stacks and Hockings (1992).
For this research, the Non-probability sampling procedure will be adopted. This method was chosen from among many other sampling techniques because of the unstructured nature of the population. Unlike the probability sampling, this technique is most appropriate for this work because the researcher did not have access to the whole population. However, it produces very good data, providing information about the general characteristics of the population under study. The Non-probability sampling procedure type used for this research is the Convenience sampling as the researcher administer the research instrument to the available subjects.
Infinity 384
500,000 384
100,000 383
50,000 381
10,000 370
5,000 357
3,000 341
2,000 322
1,000 278
Source: Stacks and Hockings (1992).
For this research, the Non-probability sampling procedure will be adopted. This method was chosen from among many other sampling techniques because of the unstructured nature of the population. Unlike the probability sampling, this technique is most appropriate for this work because the researcher did not have access to the whole population. However, it produces very good data, providing information about the general characteristics of the population under study. The Non-probability sampling procedure type used for this research is the Convenience sampling as the researcher administer the research instrument to the available subjects.
3.4 Description
of the measuring instrument
The instrument used for this study was the questionnaire containing open-ended questions with simple sentences for easy comprehension. The questions are aimed at assessing the respondent’s idea of the subject matter. It was divided into section A (demographic data; bio data of respondents) and B (psychographic data; answers to the research questions).
The instrument used for this study was the questionnaire containing open-ended questions with simple sentences for easy comprehension. The questions are aimed at assessing the respondent’s idea of the subject matter. It was divided into section A (demographic data; bio data of respondents) and B (psychographic data; answers to the research questions).
The main objective of
the questionnaire is to determine the various aspects of the traditional modes
of communication in Bille community and how they can play optimal roles in the
development of the community.
3.5 Validity of the instrument
3.5 Validity of the instrument
Validity of measuring
instrument relates to the ability of the instrument to measure what it is
supposed to measure. To achieve content validity the items in the questionnaire
was submitted to the research supervisor for scrutiny, corrections and other
necessary input.Further more a pre test was applied on ten percent of the
sample size to check the validity of the questionnaire. The result of the pre
test proved that the questionnaire was viable and can be administered to the larger
population. The questions were understood and responded to accordingly by the
all 38 respondent (10% of the sample size).
3.6 Method of data collection
3.6 Method of data collection
The questionnaire
which was developed to collect data for the study, was administered personally
to the subjects by the researcher. Some copies were filled and returned
immediately, whereas others were returned after some time. Some assistance were
used to enunciate the questions to some respondents, because the
researcher wanted to ensure that adequate explanation was given to the subjects
who do not speak English to enable them fill the questionnaire properly.
3.7 Method of data analysis
3.7 Method of data analysis
The responses were
analyzed and statistically presented. The simple statistical tool employed was
percentages (%). The findings of the data will be broken down and ordered into
constituent parts to enable the researcher to find out the percentage of the
respondents who gave positive answers and those who gave negative answers.
No comments