Critical Analysis of Research on Interactions Between Information Technology Use in Children

Jackson's research paper initially assumes that a 12-year-old child is more creative in interaction with information technology. There are four types of information technologies that children exchange, computers, Internet, video games, mobile phones. To verify this hypothesis, six trained undergraduates and one trained graduate studied for 491 12-year-old children in the suburbs of Michigan. More than half of all participants are female, one-third is African-American, the rest are white.

This method analyzes data based on empirical standardization studies involving numerous questions about business relationships and networks. To analyze information technology and social interaction, a number of questions about the social aspects of conferences and business relations were proposed in the survey. As this article focuses on personal conferences and information technology, only a few questions in the survey were analyzed. First, we will analyze the impact of the use of information technology on the needs of individual meetings. Because information technology is used for various purposes as part of the analysis, the problem used by IT is also included in the analysis.

In order to judge whether there is a correlation between changes in meeting requirements and various usage levels of information technology, we analyzed several questions about the level of use of information technology for various purposes. The following analysis shows several questions regarding the use of information technology in business relations and testing their use in ongoing analysis. 1 0, 72 ** Trading window 2 0, 61 ** Social window 3 0, 71 ** Exchange of technical information 4 0, 77 ** Product information 5 0, 80 ** Sales of products 6 0, 81 ** Order or delivery date of product 7 0, 80 ** Production plan 8 0, 60 ** Economic transaction 9 0, 66 ** Trade negotiation 10 0, 70 ** Marketing 11 0, 73 ** Production cooperative reliability analysis: Alpha = 0.905, n = 319 ** Correlation is significant at 0.01 level (both sides). Spearman's ρ * scale 1 (not at all) - 7 (very many)

In the next analysis, we compare the impact of information technology usage variables and individual meeting needs. Its purpose is to check whether there is a relationship between the two, that is, whether increasing the demand of the conference by using information technology is related to the level of use. From the first analysis in Table 3 it is clear that the average of the two groups that believe that information technology has changed the needs of the meeting is higher than those who do not think that (1: 45.1 and 3: 44.3). The meeting was affected (2: 34.2). In addition, Z values ​​and p values ​​indicate that differences between groups that information technology believes to affect meeting needs are significant, and the final test, ie, between two groups that information technology believes will affect The difference is not important.