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Five-Factor Personality Inventory-Children

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References

  • Arbabi, T., Vollmer, C., Dörfler, T., & Randler, C. (2015). The influence of chronotype and intelligence on academic achievement in primary school is mediated by conscientiousness, midpoint of sleep and motivation. Chronobiology International, 32(3), 349–357.

    Article  PubMed  Google Scholar 

  • Ditterline, J. W. (2012). The predictive validity of self-reported emotional intelligence in children. Gainesville: University of Florida.

    Google Scholar 

  • Klingbeil, D. A. (2009). Test review: A review of the five factor personality inventory – Children. Assessment for Effective Intervention, 35(1), 61–64.

    Article  Google Scholar 

  • McGeown, S. P., Putwain, D., Simpson, E. G., Boffey, E., Markham, J., & Vince, A. (2014). Predictors of adolescents’ academic motivation: Personality, self-efficacy and adolescents’ characteristics. Learning and Individual Differences, 32, 278–286.

    Article  Google Scholar 

  • McGhee, R. L., Ehrler, D., & Buckhalt, J. (2008). Manual for the five factor personality inventory-children. Austin: PRO ED, INC.

    Google Scholar 

  • McGhee, R. L., Ehrler, D. J., Buckhalt, J. A., & Phillips, C. (2012). The relation between five-factor personality traits and risk-taking behavior in preadolescents. Psychology, 3(8), 558.

    Article  Google Scholar 

  • Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–338.

    Article  Google Scholar 

  • Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58(7), 935–943.

    Article  Google Scholar 

  • Waller, D., Johnston, C., Molyneaux, L., Brown-Singh, L., Hatherly, K., Smith, L., & Overland, J. (2013). Glycemic control and blood glucose monitoring over time in a sample of young Australians with type 1 diabetes. Diabetes Care, 36(10), 2968–2973.

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Center for Leadership in Disability, School of Public Health, Georgia State University, Atlanta, GA, USA

    Brian Barger

Authors
  1. Brian Barger
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Correspondence to Brian Barger .

Editor information

Editors and Affiliations

  1. Oakland University, Rochester, USA

    Virgil Zeigler-Hill

  2. Oakland University, Rochester, USA

    Todd K. Shackelford

Section Editor information

  1. Wichita State University, Wichita, KS, USA

    Brendan Clark

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© 2017 Springer International Publishing AG

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Barger, B. (2017). Five-Factor Personality Inventory-Children. In: Zeigler-Hill, V., Shackelford, T. (eds) Encyclopedia of Personality and Individual Differences. Springer, Cham. https://doi.org/10.1007/978-3-319-28099-8_33-1

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  • DOI: https://doi.org/10.1007/978-3-319-28099-8_33-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28099-8

  • Online ISBN: 978-3-319-28099-8

  • eBook Packages: Springer Reference Behavioral Science and PsychologyReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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