Title:	INTERNET USE OF THAI CHILDREN AND YOUTH AT VARIOUS STAGES OF AGE DEVELOPMENT
Author(s):	Bubpha Makesrithongkum
ISBN:	978-972-8924-93-5
Editors:	Pedro Isaías, Bebo White and Miguel Baptista Nunes
Year:	2009
Edition:	2
Keywords:	Internet Use of Thai Children and Youth. Various Stages of Age Development
Type:	Short Paper
First Page:	179
Last Page:	184
Language:	English
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Paper Abstract:	The objectives of this research were to study: 1) the Internet use of Thai children and youth at various stages of age development; 2) the factors that affect the Internet use of Thai children and youth; and 3) the opinions of Thai children and youth at various stages of age development towards Internet use. The results showed that: 1) Regarding to the Internet use, online game was the most popular among the samples of mid-childhood age group, social networking site (i.e. Hi5) was the most popular among early- to mid-teen age group, and the search engine for the World Wide Web was the most popular among the samples of late-teen age group. 2) Single-variance analysis (One-way ANOVA) showed that there was a statistically significant difference (to the level of 0.05) in the mean opinion on Internet use among sample groups that used the Internet in different ways. 3) The main factor that affected the Internet use of the majority of midchildhood aged children, early- to mid-teen aged youths, and late-teen aged youths was the personal factor, i.e., classmates. 4) Single-variance analysis (One-way ANOVA) showed that there was a statistically significant difference (to the level of 0.05) in the mean opinion on Internet use among sample groups that had different Internet use factors. 5) Single-variance analysis (One-way ANOVA) showed that there was a statistically significant difference (to the level of 0.05) in the mean opinion on Internet use among sample groups of different developmental stages. 6) The results of multi-level analysis based on developmental stage group showed that the mean value for opinion on Internet use differed from null to a statistically significant degree (0.01) and the regression coefficient analysis of the variables of number of hours spent using the Internet and amount of money spent on using the Internet positively influenced opinion on Internet use to a statistically significant degree (0.05)
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