ANALYZING THE IMPACT OF MONETIZATION POLICY ON WORKERS PRODUCTIVITY



 RESEARCH IMPACT OF MONETIZATION POLICY ON WORKERS PRODUCTIVITY IN NIGERIA, A STUDY OF EBONYI STATE MINISTRY OF SOLID MINERALS

CHAPTER THREE
3.1                               RESEARCHER METHODOLOGY
            In this chapter, the method used in analyzing the impact of monetization policy on workers productivity will be discussed using Ebonyi State Ministry of solid mineral as a case study. For easy understanding, this chapter will be divided into sections, viz; research design, area of study, population of study, sources of data collection, sample size and sample technique and validity and reliability of the measuring instrument.

3.2       RESEARCH DESIGN   
            In any scientific research, the research design adopted is always determined by the nature of the research problem and purpose of study. The research design adopted for this study is therefore, the descriptive survey design which uses the administration of analysis of question to arrive at a dependable answer to any researcher problem.
            Also in social science research, descriptive survey design is one of the most reliable research methods available. It is simple and logical in coding sample of interpreted data.

3.3       AREA OF STUDY  
            The area covered by the researcher is narrowed to only the ministry of solid minerals development of Ebonyi State. This ministry metamorphosed from the ministry of commerce and industry in the year 2003, it is located at the secretariat complex, opposite unity square Abakaliki, in Abakaliki Local Government Area of Ebonyi State, the ministry is made up of six departments, which include, Administrative department, commerce, finances, industry, co-operative and minerals development departments.

3.4       POPULATION OF THE STUDY     
            The entire staff of the ministry of solid minerals Ebonyi State numbering about two hundred and forty (240) was used as the population for the study. This comprises eighty (80) senior staff and one hundred and sixty (160) intermediate and junior staff. Due to the existence of some limitations as mentioned in chapter one of this work, which include secure of vital information, and nonchalant attitude of workers, the whole population could not be used in the study.

3.5       SOURCES OF DATA COLLECTION     
            This section is dedicated to basic design and method employed by the researcher in gathering data for the purpose of the study. It also demonstrated the step by step procedure to collect data. We used two major sources to collect the necessary data for the study of the monetization policy. These sources were primary and secondary sources.   

a.         Primary Sources
            One of the primary sources was the administering of the questionnaires. The researcher adopted the method of setting out questionnaire which were designed specifically to fish out useful information for the analysis of the monetization policy. The questionnaire was set out in simple and direct language devoid of ambiguity to avoid misunderstanding by the respondents which may lead to incorrect information. The information required in the questionnaire includes sex, marital status, educational/professional qualification, occupation length of service, age, grade level etc.
            Another primary source of data collection was through personal interview. Some of the workers were each personally interviewed by the researcher. The advantage of this method was that the researcher was able to get some facts that were not provided in the questionnaires. The researcher was able to asses the respondents mood and feeling towards the monetization policy. The interview conducted was deliberately designed to checkmate the tendency of questionnaires being filled by other workers different from those that were given the questionnaires.

b.         Secondary Sources        
            These sources were through paper presentations by economic analysts, social critics, financial experts, and government circulars on monetization, magazines, newspapers, paper presentation at various sensitization workshop on monetization policy, journals etc.

3.6       INSTRUMENT OF DATA COLLECTION    
            For the purpose of collecting data for this study, the instrument employed include questionnaire.
            According to Odo (1992:58) Stoner define questionnaire or instrumentation as a series of written questions or repository and/or a devise that contains the instrument on a topic about which the respondents written opinions are sought, which measures the variables necessary to test the research hypothesis or answer research questions. The questionnaire used was purely structured questions. The method was preferred in order to obtain clear information. The questionnaires contain open-ended question and close-ended questions meant to allow the respondents to air their own individual opinions on the study.

3.7 (1) SAMPLE SIZE              
            Sample, according to Horby (1995:104) is a number of people or things taken from a larger group and used in test to provide information about the group. Because of the nature of the topic, we therefore used random sampling technique, which is based on the principles of randomization. It is the process of giving every members or elements in a population equal opportunity of being selected or chosen. The research on the impact of monetization policy on workers productivity –A case study of the ministry of solid minerals development Ebonyi State entailed the use of interview, which was restricted to the management staff that directly deal with and recognizes the existence of monetization policy.


3.8       SAMPLE DETERMINATION       
            In determining the sample size of this research work, Taro Yamani (1994:24) method of sample size determination is used:

Formula:        n =  N                    
             1+ N(e)2
            n          =          sample Size
            N         =          total number of population
            I           =          constant
            e          =          minimum error in calculation or margin of error                                    (0.052)
Here   N          =          240,    n = ?,    e2 = 0.052
                n = 240
    1+240 (0.05)2

            =             240
                        1+240 (0.0025)
           
            =                      240
                        1+ 240 x 0.0025
           
            =          240    =      120 as the sample
                          2                         Size
                                     
3.9       VALIDITY AND RELIABILITY OF THE MEASURING INSTRUMENT
            Hornby (1995:1319) defined validity as a state of being logical. He suggested that a group of fifteen (15) or twenty (20) people who are not included in the main study group can be used to test the validity of the instrument by distributing the structured questionnaires to them for completion and the result compared with the one scored by the researcher and if the score is between 80-100% it can be claimed to be valid.
            Following the above procedure a trial involving a group of fifteen people who are not members of the main study group was carried out. Questionnaires were distributed to them and later collected and evaluated. The evaluation showed that the sample was correct with 88% when compared with the one scored by the researcher. Therefore, the instrument was valid.
            To establish the reliability of the instrument, Osuala (1982:186) said that reliability of instrument refers to the consistency of measurement or has to do with consistency in which the instrument works, the reliability of instrument was established, using test-retest method, Odoh (1992:63) said that test retest is a process whereby the researcher administers the constructed questionnaires to the same reliable sample group more than once with the view of discovering how consistent each of the reliable sample group are in those  different times.
            The materials were administered to a group of 10 people and after two days, repeated the distribution making sure that each person got a number of which tallied with the number given to him or her in the previous distribution.
The second round was collected the same day and each number compared with the corresponding number in the first distribution. The comparison showed similarity in the response and the researcher concluded that the instrument was reliable.  
                                                                         
3.10       METHOD OF DATA ANALYSIS
The method for the analyses of data in this research is the content analysis with simple percentage method. The content analysis claims validity through the analysis of data collected from the literature review, group discussion and distributed questionnaire content from different surveyed literature were used as well opinions of respondents to represent the universal truth. The opinions and contributions of majority of different scholars view were analyzed together with the opinion of different respondent to the questionnaire in order to arrive at a conclusion.


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