This chapter provides guidelines for the design and execution of survey research in Corporate Social Responsibility (CSR). The specific requirements of survey research aimed at gathering and analysing data for theory testing are contrasted with other types of survey research. The focus is motivated by the need to tackle the various issues which arise in the process of survey research. This chapter guides the researcher and presents a systematic picture which synthesizes suitable survey practices for research in the CSR context. This will contribute to an increase in the quality of research and, as a consequence, provide details on the application of surveys in CSR research. Surveys reflect societal change in a way that few other research tools do. Organizations have adopted new methods for selecting telephone samples; these new methods were made possible by the creation of large databases that include all listed telephone numbers. The widespread decline in response rates for all types of surveys has been a problem. In the face of this problem, survey researchers have developed new theories of non-response that build on the persuasion literature in social psychology. Surveys have adopted many new methods of data collection; the new modes reflect technological developments in computing and the emergence of the Internet.
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.