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Multiple murder has attracted comparatively little attention amongst academic researchers. The present study offers a description of the phenomenon of Multiple Homicide in England and Wales over a 10 year period based on interviews with perpetrators and study of archival records. Results were analysed in two ways: First, using conventional statistical methods, and second, using multiple sequential functional analysis to challenge existing typologies, highlight the role of psychological process and to emphasise the important role of environmental events. The analysis revealed a very heterogeneous population although experiences such as social isolation and frustration were not uncommon. Unlike the perpetrators described in many American studies histories of physical and sexual childhood abuse and neglect were not the norm in this population and were felt to have little association with multiple murder. The issues raised by the methodology and the implications of the study for profiling, identification of possible offenders, treatment targets, and future areas of research are discussed.

This simulation study examined the performance of the curve-of-factors growth model when serial correlation and growth processes were present in the first-level factor structure. As previous research has shown (Ferron, Dailey, & Yi, 2002; Kwok, West, & Green, 2007; Murphy & Pituch, 2009) estimates of the fixed effects and their standard errors were unbiased when serial correlation was present in the data but unmodeled. However, variance components were estimated poorly across the examined serial correlation conditions. Two new models were also examined: one curve-of-factors model was fitted with a first-order autoregressive serial correlation parameter, and a second curve-of-factors model was fitted with first-order autoregressive and moving average serial correlation parameters. The models were developed in an effort to measure growth and serial correlation processes within the same data set. Both models fitted with serial correlation parameters were able to accurately reproduce the serial correlation parameter and approximate the true growth trajectory. However, estimates of the variance components and the standard errors of the fixed effects were problematic. The two models also produced inadmissible solutions across all conditions. Of the three models, the curve-of-factors model had the best overall performance. / text

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Public perceptions about serial homicide are more mythical than fact. Myths about serial homicide are perpetuated through several sources, especially the entertainment media which is a dominant and influential mythmaker. The number of films depicting serial killers and serial killing themes has increased dramatically in recent years. However, the reality of these films is debatable. This research examines the reality, or lack thereof, of the most recent films involving a serial killing theme. Hickey provides a wealth of statistical information on a number of serial killers and serial killings. A content analysis of the fifty top grossing serial killer movies made between 1980 and 2001 was conducted using variables from Hickey research. Research shows similarities and differences between variables, however, results concludes the entertainment media does not accurately portray serial homicide.