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The Data from the District Assemblies used in this report have been pieced together from the publications of Ghana Statistical Service, Electoral Commission of Ghana and Ministry of Local Government and Rural Development. Quantitative Approach: This study made use of the quantitative approach in obtaining the relevant information informed by the theoretical framework on voter turnout. Based on that, the study used district-level data for empirical analysis. The district-level data were obtained from the Brong Ahafo Regional Offices of the Ghana Statistical Service and the Ghana Electoral Commission respectively. The following reports were obtained from the Ghana Statistical Service: 2000 Population and Housing Census: Analysis of District Data and Implications for Planning Brong Ahafo Region (2005). 2003 Core Welfare Indicators Questionnaire (CWIQ) Survey, Ghana: Brong Ahafo Region Districts Summary. These reports contain the socio-economic, demographic, political and many more characteristics of the District, Municipal and Metropolitan Assemblies in Ghana. On the part of Electoral Commission of Ghana, the 1998, 2002 and 2006 Summary of Results of District Assembly Elections for Brong Ahafo Region were obtained. The general intention was to make use of data as close to the 2006 District Assembly elections as possible. Justification of the Quantitative Approach. The appropriateness of research methodology is very significant for the scientific evaluation of the claims made by a study. As Silverman (2006:280) rightly stresses, “It is an increasingly accepted view that work becomes scientific by adopting methods of study appropriate to its subject matter. Social science is thus scientific to the extent that it uses appropriate methods and is rigorous, critical and objective in its handling of data.” The choice of a methodological approach, as always in scientific research, depends on what the study tries to do and where it seems that one may be able to make progress. According to Creswell (2008, pp. 18). “If the problem calls for (a) the identification of factors that influence an outcome, (b) the utility of an intervention or (c) understanding the best predictors of outcomes, then a quantitative approach is the best. It is also the best approach to use to test a theory or explanation”. The quantitative approach was opted for because of the fact that the methodological underpinnings of most of the theories on voter turnout were based on the national-aggregate data. Few of them that were based on survey or individual-level data between two and five unit of analysis and the timeframes of their research were more than one year. In my context, it was very difficult for me to use the individual-level data considering the short time frame as well as limited financial resources at my disposal. With the limited time it was extremely difficult, if not impossible to conduct personal interviews that would be representative of the population. Aside from this, there was no guarantee that the potential respondents would tell the whole truth of whether they voted or did not vote in the local elections looking at the time the local level election was held, in 2006 as well as the anxieties of the 2008 Presidential and Parliamentary elections some of the electorate might not be able to recall what exactly transpired during the 2006 local level elections. Also, some of them might want to portray to me that they are good citizens and so they perform their civic responsibilities. This would eventually affect the outcome of the findings. |
