Data Collection for OD

Riann Singh () and Shalini Ramdeo ()
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Riann Singh: The University of the West Indies
Shalini Ramdeo: The University of the West Indies

Chapter 9 in Leading Organizational Development and Change, 2020, pp 201-221 from Springer

Abstract: Abstract In this chapter, the data collection process is explored in detail as the third step in the OD (organizational development) process. Data collection is a key aspect of planned organizational change. It complements the diagnosis of organizational systems. In fact, data collection may be viewed as the practical arm of diagnostic models which were explored in ► Chap. 8 . More specifically, data collection focuses on gathering empirical evidence to inform the need for appropriate planned changes to whole systems and the interrelated parts, as well as which types of planned changes may be required. The quality of the information gathered, therefore, is a critical part of the OD process. More specifically, this chapter details the importance of data collection in the process of organizational development and change (ODC). The data collection process is outlined and the key aspects of the process are evaluated and discussed. Sampling, instrumentation, and research designs are also examined as important considerations when executing the data collection process for macro changes. Finally, the main types of data collection techniques are discussed: qualitative, quantitative, and mixed methods approaches. These techniques are evaluated and the relevance of each is also assessed.

Keywords: Data; Information; Quantitative data; Qualitative data; Mixed approach; Sampling; Instrumentation; Research design (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-39123-2_9

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DOI: 10.1007/978-3-030-39123-2_9

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