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Operational Procedures for Quantitative Content Analysis Research

Authors: Emmanuel Mogaji;

Operational Procedures for Quantitative Content Analysis Research

Abstract

Content Analysis is a widely used research method but often explored for qualitative analysis. However, there are challenges with the trustworthiness of qualitative content analysis and limitations with the size of data to be analysed. With the advancement in technology, increasing theoretical understanding and the need to process large amounts of data, this study expands the scope of content analysis. First, to recognise its prospects as a quantitative research method in tourism and hospitality, making it more transparent, effective, and replicable. Second, the study presents measures to ensure the trustworthiness of content analysis research, by recommending the use of online coding sheet, coding book, coders training and coders independence. Third, the study presents a new approach to content analysis which involves coding using an online form, data downloaded .csv file format and subsequently exported to statistical software for further descriptive and statistical analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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