Demographic Snapshot Sample Clauses

Demographic Snapshot. Before turning to online behaviours, it is instructive to offer a descriptive account of the sample. This is important for two reasons: Firstly, it gives an insight as to whether the IS actors in America are similar to previous database studies. This could be useful in explaining differences in online behaviours. For example, if the average age was meaningfully younger than in other studies, that may explain a higher Internet usage. Secondly, demographic factors can be analysed using bivariate and multivariate tests against online behaviours, answering questions such as whether female actors use the Internet more than men. After discussing demographics, several descriptive event behaviours that do not relate to the Internet are presented, such as the number of actors involved in a plot; the date of the event; and interactions with the criminal justice system. These too are used as part of the analysis, such as establishing whether online behaviours have increased over time. The 201 IS actors identified in the sample are predominantly male (90%), which is in keeping, if not slightly lower than other database studies, which have been above 95% (Xxxxxx et al. 2016; Xxxxxx 2006; Xxxxxxx 2004; Xxxx et al. 2015). From the 197 actors whose age could be identified, the average is relatively young (Mean: 27.5; Median: 26; Mode 20), it spans an range of 15-55 (Figure 6).21 This age range is remarkably similar to Xxxx et al. (2017), who find a mean of 28; a median of 27; and a mode of 22; with an age range of 16-58 – the similarities between these demographic factors make the two databases ripe for comparison. Similarly, Xxxxxxx finds a mean age of 25.7 years, while Xxxxxx’x sample is 27.3 years. This places the age of the sample squarely in the centre of the previous literature; a male-predominated cohort, primarily in their twenties, but with a wide age distribution.