Japan Version Epistemic Curiosity

Measuring curiosity in intellectual activities (Nishiakwa & Amemiya, 2018)

Curiosity is a basic drive of exploration. As such, curiosity pertains to several areas of human activities from scientific creativity to amusement. In Japan, curiosity has been studied mainly in the field of educational psychology. In educational psychology, Hatano & Inagaki (1971) has introduced the theory of Berlyne (1960) on epistemic curiosity. Diversive curiosity and specific curiosity were clearly described in reference to several experimental studies.

Berlyne (1960) has divided exploratory behavior into diversive exploration and specific exploration. In diversive exploration, people explore environment or information widely without specific direction. In contrast, specific exploration is a directed exploration for some target or solution. Diversive exploration usually come about when people are in boring or leeway state. Specific exploration usually come about when people have specific goal or unsolved problem. Based on these two types of exploration, Berlyne proposed the existence of two types of curiosity in intellectual activities. These are diversive curiosity and specific curiosity in epistemic curiosity. Berlyne pointed out that, both types of curiosity work together reciprocally in intellectual activities. Berlyne also tried to provide the theoretical foundation for the existence of two types of curiosity using optimal arousal model. Berlyne’s optimal arousal model was a sophisticated general model and it was maintained to be applicable not only to curiosity but also to humor. Unfortunately, Berlyne’s grand theory based on optimal arousal model failed to receive adequate empirical support and recently it is regarded simply as a historical model (Silvia,2006; Martin, 2007).

As for the theory of epistemic curiosity in Japan, Hatano & Inagaki (1971) has taken over from Berlyne’s distinction between diversive curiosity and specific curiosity, but wisely ignored optimal arousal model. As a theoretical foundation, Hatano & Inagaki (1971) has referred to the idea of “optimal level of perceptualization rate” proposed by McReynolds (1962). Hatano & Inagaki (1971) has replaced “perceptualization” with the more general term of “information processing” and proposed an optimal level theory of information processing. According to Hatano & Inagaki (1971), people are essentially active information processing agent and this active nature was expressed by two types of curiosity. First, each person has certain level of information processing demand depending on each person’s ability, past experiences and current situation. When incoming information level is lower than the present optimal information processing level, person get bored and start diversive exploration to raise incoming information level to optimal (i.e. optimal level of information processing level). This is diversive curiosity. Second, person tried to resolve incongruities by searching for lacking information or reformulate the current problem differently. This is specific curiosity. These basic mechanisms are shown graphically in Figure 1. Hatano & Inagaki (1971) also examined the relation between two types of curiosity and pedagogical methods such as inquiry-based learning and hypothesis-experiment-instruction. Personal traits of diversive and specific curiosity were also described.

In US and Europe, after the pioneering work by Berlyne (1960), there have been continuing efforts to study curiosity. Several attempts of experimentation and scale development on curiosity were conducted (Silvia, 2006). For example, Litman & Spielberger (2003) has developed epistemic curiosity scale, which has diversive curiosity and specific curiosity as subscales. Unfortunately, in Japan brilliant study by Hatano & Inagaki (1971) was not taken over by the following researchers. As the result, curiosity has been regarded as a mere example of recommendable intrinsic motivation and no scale on curiosity were developed. Nishikawa & Amemiya (2015) has brought epistemic curiosity into educational psychology again after the long years of neglect. They developed Japanese epistemic curiosity scale, which consists of diversive curiosity subscale and specific curiosity subscale. Both subscales have enough reliability and the validities of both subscales were clearly attested. Because, Nishikawa & Amemiya (2015) was all written in Japanese, we will introduce Japanese epistemic curiosity scale in some detail.

There seems exist twists and turns in the development of the curiosity scale. Once width and depth of curiosity were measured (Ainley ,1987), but width and depth aspects are more related to the realm of interest not to the function of the curiosity per se. Epistemic curiosity scale by Litman & Spielberger (2003) is a legitimate product of Berlyne’s theory of epistemic curiosity. Yet it was criticized for the poor discriminant validity (Mussel,2010). After Epistemic scale, Litman (2008,2010) has tried to discriminate two aspects of epistemic curiosity based on the distinction between liking and wanting motivation (Berridge,2003). Because several branches of human curiosity have the base in the primitive seeking system (Panksepp, 1998), liking and wanting motivation have relevance also to the epistemic curiosity. Yet, as human curiosity develops along several branches (Kashdan et al., 2018), it seems to be better to try to measure each branch carefully. Because there were almost no study of curiosity scale in Japan, we tried to develop Japan version epistemic curiosity scale based on the study by Berlyne(1960) , Hatano & Inagaki (1971) and Litman & Spielberger (2003) . In item production, 93 items were created and through three steps of careful item selection, final 12 items were adopted(Table 1).

Factor structure and reliability of Japan version epistemic curiosity scale were clearly established. The result of exploratory factor analysis has shown two factors structure, with .49 inter-factor correlation. Cronbach’s α were .81 for both sub-scales. Model fit of the confirmatory factor analysis of this 2-factor correlation model was adequate level (χ² (53) =179.29, p < .001, CFI = .937, GFI = .952, RMSEA = .065). The inter-factor correlation in the confirmatory factor analysis was .51.

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For more details, please refer to the book below.

Nishikawa, K., & Amemiya(2018). Explore the structure and roles of curiosity in education and well-being. In G. Gordon (Ed.), New science of Curiosity (pp.225-242). New York: Nova Science Publishers.

URL: https://novapublishers.com/shop/the-new-science-of-curiosity/

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