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      Evidence-based intervention against bullying and cyberbullying: Evaluation of the NoTrap! program in two independent trials : Evaluation of the NoTrap! Program

      1 , 1 , 1
      Aggressive Behavior
      Wiley

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          Abstract

          The NoTrap! (Noncadiamointrappola!) program is a school-based intervention, which utilizes a peer-led approach to prevent and combat both traditional bullying and cyberbullying. The aim of the present study was to evaluate the efficacy of the third Edition of the program in accordance with the recent criteria for evidence-based interventions. Towards this aim, two quasi-experimental trials involving adolescents (age M = 14.91, SD = .98) attending their first year at different high schools were conducted. In Trial 1 (control group, n = 171; experimental group, n = 451), latent growth curve models for data from pre-, middle- and post-tests showed that intervention significantly predicted change over time in all the target variables (victimization, bullying, cybervictimization, and cyberbullying). Specifically, target variables were stable for the control group but decreased significantly over time for the experimental group. Long-term effects at the follow up 6 months later were also found. In Trial 2 (control group, n = 227; experimental group, n = 234), the moderating effect of gender was examined and there was a reported decrease in bullying and cyberbullying over time (pre- and post-test) in the experimental group but not the control group, and this decrease was similar for boys and girls.

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          Coefficient alpha is the most popular measure of reliability (and certainly of internal consistency reliability) reported in psychological research. This is noteworthy given the numerous deficiencies of coefficient alpha documented in the psychometric literature. This mismatch between theory and practice appears to arise partly because users of psychological scales are unfamiliar with the psychometric literature on coefficient alpha and partly because alternatives to alpha are not widely known. We present a brief review of the psychometric literature on coefficient alpha, followed by a practical alternative in the form of coefficient omega. To facilitate the shift from alpha to omega, we also present a brief guide to the calculation of point and interval estimates of omega using a free, open source software environment. © 2013 The British Psychological Society.
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                Author and article information

                Journal
                Aggressive Behavior
                Aggr. Behav.
                Wiley
                0096140X
                March 2016
                March 2016
                February 16 2016
                : 42
                : 2
                : 194-206
                Affiliations
                [1 ]Department of Educational Sciences and Psychology; University of Florence; Florence Italy
                Article
                10.1002/ab.21636
                26879897
                a63cf2bf-878d-4258-8df5-c058832bc1b4
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

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