Relationships between suicidal behavior and personality types.

This study examined the hypotheses that introversion in general and the introverted-intuitive-feeling-perceiving (INFP) type as measured by the Meyers-Briggs Type Indicator are related to suicidal ideation and behaviors. Analyses of data from 330 university students found four interactive suicidal behavior risk models: introverted-perceiving (IP) (females); introverted-sensing-feeling (ISF) (males); introverted-intuitive-perceiving (INP) (males); extraverted-intuitive-judging (ENJ) (males). Study findings were interpreted in terms of implications for risk assessment and intervention.

Improving the peer interactions of students with emotional and behavioral disorders through self-evaluation procedures: a component analysis and group application.

We conducted two experiments examining the effects of a self-evaluation package on the peer interactions of students described as emotionally or behaviorally disordered. Experiment 1 assessed the additive effects of various components of a self-evaluation package on the frequency of inappropriate and appropriate peer interactions. The components assessed were rewards alone, rewards plus discussion, and self-evaluation plus rewards. Results showed limited effectiveness when rewards alone and rewards plus discussion were implemented. However, substantial improvements in peer interactions were observed when the self-evaluation component was added. Experiment 2 examined the efficacy and feasibility of the procedures when implemented in a group setting. Students in three classrooms served as participants. Direct observation data collected for 8 of the participants showed the procedures to be effective in improving peer interactions when implemented in a group context.

A Study of Multivariate Permutation Tests Which May Replace Hotelling's T2 Test in Prescribed Circumstances.

Multivariate permutation tests are described and studied which may be profitably substituted for Hotelling's one-sample P test in situations commonly arising in behavioral science research. These tests (a) may be computed even when the number of variables exceeds the number of subjects, (b) are distribution-free, (c) may be tailored for sensitivity to specific treatment alternatives, and (d) provide one-sided as well as two-sided tests of hypotheses. Power comparisons were made between the permutation tests and Hotelling's T(2) test under a variety of treatment effect model, correlation structure and number of variables combinations. Results show that the permutation tests have significant power advantages over the T(2) in a variety of circumstances, but may have considerably less power in others.