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Primary School Children's Practices of Watching Cartoons and Their Perceptions About Cartoon Character

Author

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  • Vahit İlhan

    (Erciyes University)

Abstract

Relation between television and children is, to a large extend, associated through cartoons. Cartoons are in the leading preferential position of children audience from pre-school period to adolescence. Having been accessible all through 24 hours after the appearance of thematic children channels, cartoons have been opening doors of hundreds of various worlds. Stories, designed within the framework of global or domestic codes, are transmitting their messages through characters at first place. This research on audience was performed in Kayseri and is aimed to define the children's habits of watching TV and cartoon and their perceptions about cartoon characters. A survey has been applied to 420 student from various age groups in 3 different schools ensampling three different socio-economic levels. According to the results gained, the most watched cartoon TV by primary school children is TRT Çocuk, most watched cartoon is Rafadan Tayfa and Kelo?lan is the most loved character among 96 different cartoon characters. It was determined that national productions are in the forefront but generally the international productions dominate. It was also determined that children define the behaviors of cartoon characters with adjectives such as good, nice...etc. Otherwise the characters have extraordinary features appears to be a factor which causes increase in the ratings. Moreover, it is suggested in the research that gender is an important determinant within the context of cartoon selection and adoption of cartoon characters.

Suggested Citation

  • Vahit İlhan, 2017. "Primary School Children's Practices of Watching Cartoons and Their Perceptions About Cartoon Character," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 2, September.
  • Handle: RePEc:eur:ejmsjr:234
    DOI: 10.26417/ejms.v6i2.p327-327
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    References listed on IDEAS

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    1. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    2. Shaffer, H.J. & Hall, M.N. & Vander Bilt, J., 1999. "Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1369-1376.
    3. Yang, Chih-Chien, 2006. "Evaluating latent class analysis models in qualitative phenotype identification," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1090-1104, February.
    4. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    5. Jan Mcmillen & Michael Wenzel, 2006. "Measuring Problem Gambling: Assessment of Three Prevalence Screens," International Gambling Studies, Taylor & Francis Journals, vol. 6(2), pages 147-174.
    6. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    7. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    8. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    9. Laurie Dickson & Jeffrey L. Derevensky & Rina Gupta, 2008. "Youth Gambling Problems: Examining Risk and Protective Factors," International Gambling Studies, Taylor & Francis Journals, vol. 8(1), pages 25-47, April.
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