Psychometric data of a questionnaire to measure cyberbullying bystander behavior and its behavioral determinants among adolescents

Abstract

.This paper describes the items, scale validity and scale reliability of a self-report questionnaire that measures bystander behavior in cyberbullying incidents among adolescents, and its behavioral determinants. Determinants included behavioral intention, behavioral attitudes, moral disengagement attitudes, outcome expectations, self-efficacy, subjective norm and social skills. Questions also assessed (cyber-)bullying involvement. Validity and reliability information is based on a sample of 238 adolescents (M age=13.52 years, SD=0.57). Construct validity was assessed using Confirmatory Factor Analysis (CFA) or Exploratory Factor Analysis (EFA) in Mplus7 software. Reliability (Cronbach Alpha, α) was assessed in SPSS, version 22. Data and questionnaire are included in this article. Further information can be found in DeSmet et al. (2018) [1].

The Efficacy of the Tabby Improved Prevention and Intervention Program in Reducing Cyberbullying and Cybervictimization among Students

“…Reliability coefficients at T1 and T2 were respectively α = 0.64 and α = 0.75 for cyberbullying and α = 0.72 and α = 0.71 for cybervictimization. Even if the reliability coefficient of the cyberbullying measure at T1 was just sufficient values <0.60 are considered acceptable given the short scale dimension [ 41 , 42 , 43 ].…”

The Long-Term Efficacy and Sustainability of the Tabby Improved Prevention and Intervention Program in Reducing Cyberbullying and Cybervictimization

“…Lastly, the reliability value for cyberbullying was relatively low (around 0.60) and required caution. However, the value is deemed acceptable given the short-scale dimension [ 56 ]. Despite the above limitations, our findings expand the limited research about the long-term effect of anti-cyberbullying programs and propose a new direction for prevention.…”

Understanding civil servants' intentions to open data: factors influencing behavior to disclose data

“…Personal characteristics of the individual civil servants can also have a direct and indirect role in their willingness to support the opening of data. Following DeSmet et al . (2018), characteristics such as age, gender and previous experiences in the public sector and with open data were included in the model.…”