Handbook of Research Methods in Corporate Social Responsibility
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Handbook of Research Methods in Corporate Social Responsibility

Edited by David Crowther and Linne Lauesen

Corporate social responsibility now touches upon most aspects of the interaction between business and society. The approaches taken to research in this area are as varied as the topics that are researched; yet this is the first book to address the whole range of methods available. The book identifies the methods available, evaluates their use and discusses the circumstances in which they might be appropriate. It also includes forward-thinking guidance from experienced academics on the future directions of research in the area.
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Chapter 11: The application of statistical methods in CSR research

Christopher Boachie and George K Amoako

Abstract

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.

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