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Christopher Boachie and George K Amoako

Statistics represents that body of methods by which characteristics of a population are inferred through observations made in a representative sample from that population. Since corporate social responsibility researchers rarely observe entire populations, sampling and statistical inference are essential. Data analysis is a process used to transform, remodel, and revise certain information with a view to reaching a certain conclusion for a given situation or problem. The analysis can be carried out by different methods as according to the needs and requirements of different domains in corporate social responsibility. This chapter reviews the current status of statistical methods and their influences on financial corporate social responsibility research. Secondary data on statistical research methods were employed together with a survey of published articles on corporate social responsibility. The implication of the conclusion is that the insights gained from this chapter serve as genuine sources of knowledge for researchers in the field of CSR.