RESUMEN
This study explored the predictions of and relationships between background, social status, and the use of information and communication technology (ICT) in cyberbullying among 2430 secondary school students from schools affiliated with Thailand's Office of the Basic Education Commission. The stratified sampling method was used along with the Cyberbullying Questionnaire, Sociometric Status Questionnaire, Perceived Popularity Questionnaire, and ICT Use Questionnaire and data were collected through the CU Smart Sociometry web application and Google Forms. Data analysis was conducted to determine 1) demographic data using descriptive statistics; 2) correlation analysis of students' backgrounds, sociometric status, and ICT use against cyberbullying using the chi-square test; and 3) variables that predict cyberbullying among secondary school students using multinomial logistic regression. Results showed a link between cyberbullying and secondary school students' backgrounds, social status, and ICT use. Students with different backgrounds (sex and academic performance), social statuses (social preference and perceived popularity), and ICT use partook in different cyberbullying roles. Independent variables of sex, academic performance, social preference, perceived popularity, and ICT use all predicted cyberbullying by 33.3 % with statistical significance. Male students were noted to have a higher likelihood of being cyberbullies than female students, whereas female students were more likely to be cybervictims and bystanders. Moreover, students with low academic performance were more likely to be cyberbullies and cybervictims than high-performing students, with rejected students having the highest likelihood of being cyberbullies. Interestingly, the higher a student's popularity, the higher was their likelihood of being cyberbullies. Finally, cyberbullies had the highest average daily internet use, and students who had never had their guardians monitor their internet usage were more likely to be cyberbullies; students with moderate and good social media behavior were mostly bystanders.
RESUMEN
This research aimed to develop a sociometric web application to study the relationship among Thai secondary school learners. The first phase studied conditions and needs for a sociometric web application by interviewing 8 teachers (100% females) who have teaching experiences between 3-38 years (Mean = 16.63, SD = 11.58). The second phase developed a sociometric web application which was reviewed by 5 experts and received the overall highest level of appropriateness. Then, the application was piloted with 34 teachers and learners. Overall, the sociometric web application and user manual are suitable for use. The third phase studied results for the sociometric web application usage. Samples included teachers and secondary school learners. The experiment was conducted in a large group of 6 teachers (100% females) having teaching experiences between 4-22 years (Mean = 8.67, SD = 7.03) and students in 5 classrooms, totaling 204 participants (88.73% of response rate, 60.2% females, 39.8% males, age range = 10-23 years old, Mean = 15.72, SD = 1.67) selected via a purposive sampling method. The research tools were the observation form, interview forms, and opinion questionnaire regarding sociometric web application usage. Data were analyzed by qualitative data and descriptive statistics, including frequency distributions, percentages, means, standard deviations, t-test, crosstabs, and chi-square. The teachers' and learners' opinions on web application usage showed an overall highest level of suitability. Furthermore, results concerning the consistency of the sociometric status analysis and the teachers' opinions showed overall average consistency at 87.21%. Finally, the students' sociometric status was divided into five student groups: (1) average (34.3%); (2) popular (24%); (3) neglected (19.1 %); (4) rejected (15.7 %); and (5) controversial (6.9%). Students' gender and academic performance were related to the sociometric status with a .05 level statistical significance (χ2 = 17.742, sig = .001, χ2 = 23.831, sig = .002), respectively. This signifies that students of different genders and academic performances had different sociometric statuses.