Measuring internet addiction: Comparative studies based on gender using Bayesian analysis

Abstract

The Internet becomes a necessity that is in a vital position for both children, teenagers and adults. Lately the use of the Internet to be a matter of concern and need to be studied, especially related to Internet addiction. As for the gender aspect, men and women have special forms of Internet addiction experienced. Based on this case, the authors designed a study related to the difference Internet addiction of male and female. The ultimate goal is the description of research results will be used for treatment. The sample for this research is 84 men and 84 women, the number of samples taken based on consideration using software G-Power 3.1 where for sample 84 people each group effect size is 0.3159282, err prob 0.05 and power (1-β err prob) 0.65. The instrument used is Chen Internet Addiction, which amounts to 26 items. Data analysis using JASP 0.8.5.1 software uses two types of analysis of Classic Test Theory Independent Sample T-Test and Bayesian Independent Sample T-Test. A result of research from both analysis that there is significant difference of Internet addiction of man and woman.