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Time Use Habits of Italian Generation Y: Dimensions of Leisure Preferences

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Abstract

Time spent in leisure is not a minor research question as it is acknowledged as a key aspect of one’s quality of life. The primary aim of this article is to qualify time and Internet use of Italian Generation Y beyond media hype and assumptions. To this aim, we apply a multidimensional extension of item response theory models to the Italian “Multipurpose survey on households: aspects of daily life” to ascertain the relevant dimensions of Generation Y time use habits. Thus, the quantity of time allocated to each activity is not considered in this study. Instead, we concentrate on the popularity of time use styles in the young people at issue. By the mentioned model, we show that the use of technology is neither the first nor the foremost time use activity of Italian Generation Y, who still prefers to use its time to socialise and have fun with friends in a non media-medalled manner.

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References

  • Aguiar, M., & Hurst, E. (2007). Measuring trends in leisure: The allocation of time over five decades. Quarterly Journal of Economics, 122(3), 969–1006.

    Article  Google Scholar 

  • Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In Second international symposium on information theory (pp. 267–281). Akademinai Kiado.

  • Bartolucci, F. (2007). A class of multidimensional IRT models for testing unidimensionality and clustering items. Psychometrika, 72(2), 141–157.

    Article  Google Scholar 

  • Bartolucci, F., Bacci, S., & Gnaldi, M. (2015). Statistical analysis of questionnaires: A unified approach based on R and Stata (Vol. 34). Boca Raton, FL: CRC Press.

    Google Scholar 

  • Bartolucci, F., Montanari, G. E., & Pandolfi, S. (2012). Dimensionality of the latent structure and item selection via latent class multidimensional IRT models. Psychometrika, 77(4), 782–802.

    Article  Google Scholar 

  • Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick (Eds.), Statistical theories of mental test scores. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Bozdogan, H. (1987). Model selection and Akaike’s Information Criterion (AIC): The general theory and its analytical extensions. Psychometrika, 52(3), 345–370.

    Article  Google Scholar 

  • Brandtzæg, P. B. (2010). Towards a unified Media-User Typology (MUT): A meta-analysis and review of the research literature on media-user typologies. Computers in Human Behavior, 26(5), 940–956.

    Article  Google Scholar 

  • Camporese, R., Freguja, C., & Sabbadini, L. L. (1998). Time use by gender and quality of life. Social Indicators Research, 44(1), 119–144.

    Article  Google Scholar 

  • Dowling, N. M., Bolt, D. M., Deng, S., & Li, C. (2016). Measurement and control of bias in patient reported outcomes using multidimensional item response theory. BMC Medical Research Methodology, 16(1), 63.

    Article  Google Scholar 

  • Gamito, P. S., Morais, D. G., Oliveira, J. G., Brito, R., Rosa, P. J., & de Matos, M. G. (2016). Frequency is not enough: Patterns of use associated with risk of Internet addiction in Portuguese adolescents. Computers in Human Behavior, 58, 471–478.

    Article  Google Scholar 

  • Ghez, G., & Becker, G. S. (1975). The allocation of time and goods over the life cycle. New York, NY: Columbia University Press.

    Google Scholar 

  • Gibbons, R. D., Rush, A. J., & Immekus, J. C. (2009). On the psychometric validity of the domains of the PDSQ: An illustration of the bi-factor item response theory model. Journal of Psychiatric Research, 43(4), 401–410.

    Article  Google Scholar 

  • Gnaldi, M., Del Sarto, S., & Maggino, F. (2017). The role of extended IRT models for Composite Indicators construction. In F. Maggino (Ed.), Complexity in society. From indicator construction to their synthesis. Social indicators research book series (Vol. 70). Berlin: Springer.

    Google Scholar 

  • Harman, H. H. (1976). Modern factor analysis. Chicago: University of Chicago Press.

    Google Scholar 

  • Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24(7), 417–441.

    Article  Google Scholar 

  • ISTAT. (2016). Multipurpose survey on households: Aspects of daily life. http://www.istat.it/en/archive/129934.

  • Juster, F. T., & Stafford, F. P. (1985). Time, goods, and well-being. Ann Arbor, MI: Institute for Social Research.

    Google Scholar 

  • Livingstone, S., & Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media & Society, 9(4), 671–696.

    Article  Google Scholar 

  • McDonald, R. P. (1985). Factor analysis and related methods. Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Mingo, I. (2003a). Il senso del loisir: un approccio empirico-multidimensionale. In I. Mingo (Ed.), Il tempo del loisir. Media, new media e altro ancora. Milano: Angelo Guerini e Associati.

    Google Scholar 

  • Mingo, I. (2003b). Le quantità del tempo libero: indicatori e variabili. In I. Mingo (Ed.), Il tempo del loisir. Media, new media e altro ancora. Milano: Angelo Guerini e Associati.

    Google Scholar 

  • Mingo, I., & Montecolle, S. (2011). Tra il dire e il fare: aspetti soggettivi e oggettivi del tempo libero. In I. Mingo & M. Savioli (Eds.), Tempi di vita moderni. Il loisir della società italiana. Milano: Angelo Guerini e Associati.

    Google Scholar 

  • Plieninger, H., & Meiser, T. (2014). Validity of multiprocess IRT models for separating content and response styles. Educational and Psychological Measurement, 74(5), 875–899.

    Article  Google Scholar 

  • Rasch, G. (1961). On general laws and the meaning of measurement in psychology. In Proceedings of the IV Berkeley symposium on mathematical statistics and probability. University of California Press.

  • Reckase, M. (2009). Multidimensional item response theory. New York, NY: Springer.

    Book  Google Scholar 

  • Robinson, J., & Godbey, G. (1997). Time for life: The surprising ways Americans use their time. University Park, PA: Penn State University Press.

    Google Scholar 

  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.

    Article  Google Scholar 

  • Stiglitz, J. E., Sen, A., & Fitoussi, J. P. (2010). Report by the commission on the measurement of economic performance and social progress. Paris: Commission on the Measurement of Economic Performance and Social Progress.

    Google Scholar 

  • Zillien, N., & Hargittai, E. (2009). Digital distinction: Status-specific of internet usage. Social Science Quarterly, 90(2), 274–291.

    Article  Google Scholar 

  • Zuzanek, J. (2017). What happened to the society of leisure? Of the gap between the “Haves” and “Have nots” (Canadian time use and well-being trends). Social Indicators Research, 130(1), 27–38. doi:10.1007/s11205-015-1133-0.

    Article  Google Scholar 

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Acknowledgements

Michela Gnaldi would like to thank Professor Claudio Melacarne for his early prompting and original hints on the present work.

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Correspondence to Simone Del Sarto.

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Gnaldi, M., Del Sarto, S. Time Use Habits of Italian Generation Y: Dimensions of Leisure Preferences. Soc Indic Res 138, 1187–1203 (2018). https://doi.org/10.1007/s11205-017-1736-8

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