Understanding suicide terrorism: Premature dismissal of the religious-belief hypothesis

We comment on work by Ginges, Hansen, and Norenzayan (2009), in which they compare two hypotheses for predicting individual support for suicide terrorism: the religious-belief hypothesis and the coalitional-commitment hypothesis. Although we appreciate the evidence provided in support of the coalitional-commitment hypothesis, we argue that their method of testing the religious-belief hypothesis is conceptually flawed, thus calling into question their conclusion that the religious-belief hypothesis has been disconfirmed. In addition to critiquing the methodology implemented by Ginges et al., we provide suggestions on how the religious-belief hypothesis may be properly tested. It is possible that the premature and unwarranted conclusions reached by Ginges et al. may deter researchers from examining the effect of specific religious beliefs on support for terrorism, and we hope that our comments can mitigate this possibility.     

Arson and (para-) suicide

There have been forensic-psychiatric observations from 1963 to 1983 concerning the offenders responsibility in case of deliberate arson with 12 out of 147 suits being closely related to (para-)suicide. According the variety of relations we distinguish between fire as pure means of suicide, fire used to take along the living space or people, suicide committed in consequence of arson, furthermore arson as a symbolic suicide, and finally acting alternately with both arson as well as parasuicide.     

Shape parameters explain data from spatial transformations: comment on Pearce et al. (2004) and Tommasi & Polli (2004)

In 2 recent studies on rats (J. M. Pearce, M. A. Good, P. M. Jones, & A. McGregor, see record 2004-12429-006) and chicks (L. Tommasi & C. Polli, see record 2004-15642-007), the animals were trained to search in 1 corner of a rectilinear space. When tested in transformed spaces of different shapes, the animals still showed systematic choices. Both articles rejected the global matching of shape in favor of local matching processes. The present authors show that although matching by shape congruence is unlikely, matching by the shape parameter of the 1st principal axis can explain all the data. Other shape parameters, such as symmetry axes, may do even better. Animals are likely to use some global matching to constrain and guide the use of local cues; such use keeps local matching processes from exploding in complexity.     

Communicating about the risks of terrorism (or anything else)

Communication is essential to preventing terrorists from achieving their objectives. Effective communication can reduce terrorists' chances of mounting successful operations, creating threats that disrupt everyday life, and undermining the legitimacy of the societies that they attack. Psychological research has essential roles to play in that communication, identifying the public's information needs, designing responsive communications, and evaluating their success. Fulfilling those roles requires policies that treat two-way communication with the public as central to ensuring that a society is strengthened, rather than weakened, by its struggle with terror. There are scientific, organizational, and political barriers to achieving those goals. Psychological research can help to overcome them-and advance its science in the process.     

Detecting small taxa using simulated comparison data: A reanalysis of Beach, Amir, and Bau's (2005) data

On the basis of taxometric analyses of data sets that they created to pose interpretive challenges, S. R. H. Beach, N. Amir, and J. J. Bau (2005) cautioned that using comparison data simulated by J. Ruscio's programs can lead to inaccurate conclusions. Careful examination of S. R. H. Beach et al.'s methods and results plus reanalysis of their data fails to substantiate this concern: Using comparison data identified the taxonic structure of S. R. H. Beach et al.'s data sets, even when the taxon base rate was very low. The authors show that J. Ruscio's simulation programs generate comparison data appropriately and that analyzing these data provides a useful interpretive aid. Additionally, the authors discuss and illustrate the effective use of the inchworm consistency test to disambiguate taxometric results for small taxa and dimensional constructs with positively skewed indicators.     

Collectivism and rates of personal violence (suicide and homicide)

Homicide rates, but not suicide rates, were associated with an index of collectivism for the states of America in 1992.     

Educational attainment, intelligence, interstate migration, and suicide rates in the United States: rejoinder to Abel and Kruger (2005)

Abel and Kruger (2005) reported a negative association of educational attainment and suicide rate across the United States. Given strong links between intelligence and educational attainment, this appears to be inconsistent with positive associations of intelligence and suicide rate reported in several other geographical studies. However, the apparent inconsistencies may reflect interstate migration within the U.S. adult population. Testing this hypothesis showed that interstate migration was more strongly related to state suicide rates than educational attainment. Thus, the different results obtained by Abel and Kruger could reflect migration effects, which for the U.S. might render adult-age indicators of educational attainment inappropriate to reflect regional variation in intelligence by place of birth.     

Comment on Bridges and Kunselman (2005)

A case is made that a clear understanding of premature mortality of Status Indians due to suicide, homicide, and motor vehicle accidents must begin with a clear idea of what the indicator, potential years of life lost before age 75 (PYLL), is, and how it was measured or calculated.     

The impact of ignoring multiple membership data structures in multilevel models

This study compared the use of the conventional multilevel model (MM) with that of the multiple membership multilevel model (MMMM) for handling multiple membership data structures. Multiple membership data structures are commonly encountered in longitudinal educational data sets in which, for example, mobile students are members of more than one higher-level unit (e.g., school). While the conventional MM requires the user either to delete mobile students' data or to ignore prior schools attended, MMMM permits inclusion of mobile students' data and models the effect of all schools attended on student outcomes. The simulation study identified underestimation of the school-level predictor coefficient, as well as underestimation of the level-two variance component with corresponding overestimation of the level-one variance when multiple membership data structures were ignored. Results are discussed along with limitations and ideas for future MMMM methodological research as well as implications for applied researchers.