Why the need to triangulate in the study of tourism's economic impact
Over the years, Input-Output (I-O) analysis has been popularly used for measuring the economic impact of tourism; but discussions in the literature of data collection methods have not been as prevalent as the discussions of empirical results and ways of modifying the basic I-O model. Due to its stro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IDOSI Publications
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/24144/1/Why%20the%20need%20to%20triangulate%20in%20the%20study%20of%20tourism%E2%80%99s%20economic%20impact.pdf http://psasir.upm.edu.my/id/eprint/24144/ http://www.idosi.org/wasj/wasj12%28T&H%292011.htm |
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| Summary: | Over the years, Input-Output (I-O) analysis has been popularly used for measuring the economic impact of tourism; but discussions in the literature of data collection methods have not been as prevalent as the discussions of empirical results and ways of modifying the basic I-O model. Due to its strong attachment to the economic multiplier concept, positivism paradigm has been preferred by researchers for estimating the spin-off effects that arise from the tourist expenditure in a region’s economy. However, quantitative data obtained from tourism establishments and secondary sources may not be accurate - for example, is the tourism establishment proprietors’ estimation of tourist count reliable? This paper suggests the use of triangulation method (including qualitative technique) to cross-check data collected from quantitative technique, so that a researcher can hope to overcome the weakness or intrinsic biases and problems that can emerge from a single-method or single-observer or single-theory study. Overall, the quality of the triangulation’s outcome depends to a great extent on how systematic the researcher is in analyzing qualitative material and his or her ability to justify the role of mixed methods in the research. |
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