GENERATION AND DISBURSEMENT OF FUND IN THE ADMINISTRATION OF ONICHA LOCAL GOVERNMENT COUNCIL IN NIGERIA

RESEARCH METHODOLOGY - RESEARCH DESIGN
        This study adopted a survey research design method. This means that the subject under study was carried out in the local setting (Onicha L.G.A) and information was received through questionnaire. A survey design method is one which a group of people or items are studied by collecting and analyzing data from only a few people or items considered to be the representative of the entire group (Ijiogwe, 2002). In the context of this work, local government staff and also some group of randomly selected tax payers in Onicha Local
Government Area are the representative of Onicha L.G.A in respect of survey design method. More so, as quantitative research type, the questionnaire collected for the study were analyzed using tables, frequency distribution and simple percentage to determine the result.

AREA OF THE STUDY
        The area or location of this study is the Onicha Local Government Area. This study covers the generation and disbursement of finance in Onicha Local Government Area.
POPULATION OF THE STUDY
        Onicha is an agrarian local government with a projected population of about 350 thousand people (NPC, 2006). Of these are the totals of about 300 staff spread across the various departments in the council. The population of this study is contained in this table:
S/N
DEPARTMENT
POPULATION
PERCENTAGE
1
personal
50
16. 6%
2
finance
75
25. 0%
3
health
65
21. 7%
4
works
80
26. 7%
5
agriculture
30
10.0%

total
300
100%
                Source: chinyere’s field survey, 2011.

SAMPLE SIZE AND SAMPLING TECHNIQUE,S
        The sample size of the study can be obtained using the yaro-yamini formular (1964). This was to reduce the population to a simpler researchable size considering the insufficient time and resources available to the researcher.
The formular is given as:
n      =      N
                1+N(e) 2
Where;      n      =      desired sample size    =      ?
        N      =      total population         =      300
        e      =      error margin              =      0.05
        I       =      constant
       
.:      n=      300   
1+300(0.05)2

n=       300    
1+300(0.0025)
n =  300   
1+0.75

n=     300
1.75

n =171

        A sample size of 171 (one hundred and seventy one) was obtained having applied the yaro-yamini formular. Also, this study combined simple random sampling and stratified sampling random sampling was to ensure that every member of the population has equal and independent chance of being selected in the sample to be studied. On the other hand, stratified sampling ensures that samples are divided into groups (called strata) on bases of common characteristics among each group.
SOURCES OF DATA COLLECTION
        Please, copy your former “3.2” to this place. The data for this study were collected from two difference sources. They were the primary sources and the secondary sources.
PRIMARY SOURCES: the primary sources of data were gathered from personal interview and distribution of questionnaires. The interviews included discussions with top public officers, civil servant and local government service commission staff. The researcher nonetheless conducted personal interview with various other groups including members of the (NULGE). This was to ensure that views of all the groups were adequately represented because of the social relevance of this study.
SECONDARY SOURCES: The secondary sources of data were mostly from write ups, articles both published, textbook written by several authors. For this purpose several libraries were visited, they include, Ebonyi Library, the state library.
        The researcher would like to note that since the country became a democratic one, the staffs of these various government agencies were more responsive to the researcher’s request for materials and information.
3.6 METHOD OF DATA COLLECTION
        the questionnaire of this study which was design to capture the required data or information that would be used to study the subject matter under investigation, were distributed to staff in the five (5) selected department and some group of randomly selected tax payers in Onicha Local Government Area by the researcher.
METHOD OF DATA ANALYSIS
In analyzing the data, the simple percentage technique was employed with frequency distribution table. This study was conducted using both structured and unstructured questionnaires. The structured questionnaire most of which are in the close ended form, allows the respondents to close from the listed answers in the questionnaire which he/she thinks is the best answer to the question by ticking good () in the box against the answer. This was aimed at capturing the relevant information needed for the study.
        However, in testing the hypotheses of the study, the “chi-square (x2) method was used as the statistical tool.
    The formular for chi-square (x2) is given as:
            X2  = £ (0-E)2
                                        E
                Where;  x2    =  chi-square
                            £     = Summation
0       =  Observed frequency
E     = Expected frequency.
TESTS OF VALIDITY AND RELIABILITY OF DATA AND             INSTRUMENT
        the  questionnaire for this study was validated by the project supervisor and other expect in public administration their suggestions, corrections and modifications were taken into consideration while preparing the field draft of the questionnaires.
        RELIABILITY
The test- retest reliability was adopted to determine the reliability of the instrument. The instrument (questionnaires) were administered to the staff and some group of randomly selected tax payers in Onicha L.G A. out of the population were each given a copy of the questionnaires in the first place to respond to and their responses were received two (2) week later.
The researcher re-administered another set of the questionnaires to the very first respond. Based on the rating from two (2) different occasions by the same set of respondents, the researcher computed the test- retest reliability. The results obtained were high enough for the instrument to be considered reliable.
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