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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Quantitative Data Analysis for Information Science Professionals

Quantitative Data Analysis for Information Science Professionals
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Author(s): Regis Chireshe (Great Zimbabwe University, Zimbabwe & Zimbabwe Council for Higher Education, Zimbabwe)
Copyright: 2020
Pages: 24
Source title: Handbook of Research on Connecting Research Methods for Information Science Research
Source Author(s)/Editor(s): Patrick Ngulube (University of South Africa, South Africa)
DOI: 10.4018/978-1-7998-1471-9.ch018


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The chapter presents general aspects of quantitative data analysis as they relate to information sciences. The chapter is based on a literature review. It begins with explaining the meaning of data and quantitative data. Kinds of quantitative data are presented. The meaning of data analysis and the reasons for data analysis are also discussed. Reasons for quantitative data analysis are also discussed. The ‘what' and ‘why' of statistics in general and for information science researchers in particular is also presented. The chapter also presents the main issues of quantitative data analysis. Steps in quantitative data analysis are also presented. Preparation of quantitative data analysis is followed by a presentation on quantitative data analysis methods. The chapter highlights the popular quantitative data analysis software. A brief presentation on how quantitative data are presented and interpreted is given. The chapter ends with a discussion on the advantages and disadvantages of quantitative data analysis.

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