Satisfaction Levels (Qualitative Data)  

Oleh:

Toda, Akihito

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Japan Labor Review vol. 10 no. 4 (2013), page 34-43.
Topik: Qualitative Data; Survey Respondents; Sociology; Psychology; Data Analysis
Fulltext: JLR40_toda_open.pdf (1.01MB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ130.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Qualitative data, which represents the subjective viewpoints of survey respondents, has long been employed in various types of analysis in fields such as sociology and psychology. In recent years qualitative data analysis has been performed with increasing frequency in economics as well. In Japan, people’s values are diversifying, and a single word––such as “freeter”––can prompt a wide range of reactions. “Freeter” is a Japanese neologism combining the English word “free” (in the sense of “freelance”) with the German arbeiter, meaning laborer (in Japan arubaito, from the German arbeit, is a loan word referring to part-time work). A freeter is a young person who lacks steady employment and subsists on a series of short-lived part-time jobs. When the word was coined in the late 1980s, it had positive connotations of freewheeling bohemianism, but as the job market worsened thereafter, it took on an increasingly negative cast as more and more young people adopted this sort of lifestyle not out of choice but because they were unable to find full-time jobs. In a case like this, where a single word is the subject of varying impressions and interpretations, qualitative data analysis has the potential to aid greatly in gauging people’s true attitudes toward persons lacking fixed employment. In Japan, “Lost Two Decades” of economic stagnation followed the burst of an asset price bubble in 1991, and the outlook for future economic growth remains dim. Under that situation, there is an increasing concern to the happiness levels under the low economic growth, focused on the questions of which factors contribute to happiness or subjective well-being, and what sort of yardsticks should be used to measure it.1 In the current research environment, qualitative data is dramatically increasing in importance. In this paper, I will present qualitative-data statistics on satisfaction levels in two areas, namely job satisfaction and life satisfaction. Also, I will outline precautions to be kept in mind when handling qualitative data.

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