The Experienced Self and Other Scale: A technique for assaying the experience of one’s self in relation to the other

The construct “self” appears in diverse forms in theories about what it is to be a person. As the sense of “self” is typically assessed through personal reports, differences in its description undoubtedly reflect significant differences in peoples’ apperception of self. This report describes the development, reliability, and factorial structure of the Experience of Sense of Self (E-SOS), an inventory designed to assess one’s perception of self in relation to the person’s perception of various potential “others.” It does so using Venn diagrams to depict and quantify the experienced overlap between the self and “others.” Participant responses to the instrument were studied through Exploratory Factor Analysis. This yielded a five-factor solution: 1) Experience of Positive Sensation; 2) Experience of Challenges; 3) Experience of Temptations; 4) Experience of Higher Power; and 5) Experience of Family. The items comprising each of these were found to produce reliable subscales. Further research with the E-SOS and suggestions for its use are offered.  DOI:10.2458/azu_jmmss_v4i2_shvil</jats:p

The Experienced Self and Other Scale: A technique for assaying the experience of one’s self in relation to the other

The construct “self” appears in diverse forms in theories about what it is to be a person. As the sense of “self” is typically assessed through personal reports, differences in its description undoubtedly reflect significant differences in peoples’ apperception of self. This report describes the development, reliability, and factorial structure of the Experience of Sense of Self (E-SOS), an inventory designed to assess one’s perception of self in relation to the person’s perception of various potential “others.” It does so using Venn diagrams to depict and quantify the experienced overlap between the self and “others.” Participant responses to the instrument were studied through Exploratory Factor Analysis. This yielded a five-factor solution: 1) Experience of Positive Sensation; 2) Experience of Challenges; 3) Experience of Temptations; 4) Experience of Higher Power; and 5) Experience of Family. The items comprising each of these were found to produce reliable subscales. Further research with the E-SOS and suggestions for its use are offered.     DOI:10.2458/azu_jmmss_v4i2_shvi

Physiological Correlates of Volunteering

We review research on physiological correlates of volunteering, a neglected but promising research field. Some of these correlates seem to be causal factors influencing volunteering. Volunteers tend to have better physical health, both self-reported and expert-assessed, better mental health, and perform better on cognitive tasks. Research thus far has rarely examined neurological, neurochemical, hormonal, and genetic correlates of volunteering to any significant extent, especially controlling for other factors as potential confounds. Evolutionary theory and behavioral genetic research suggest the importance of such physiological factors in humans. Basically, many aspects of social relationships and social activities have effects on health (e.g., Newman and Roberts 2013; Uchino 2004), as the widely used biopsychosocial (BPS) model suggests (Institute of Medicine 2001). Studies of formal volunteering (FV), charitable giving, and altruistic behavior suggest that physiological characteristics are related to volunteering, including specific genes (such as oxytocin receptor [OXTR] genes, Arginine vasopressin receptor [AVPR] genes, dopamine D4 receptor [DRD4] genes, and 5-HTTLPR). We recommend that future research on physiological factors be extended to non-Western populations, focusing specifically on volunteering, and differentiating between different forms and types of volunteering and civic participation

Analysis of Research Efficiency: Costs and Information Gain

This study provides a method for the examination of research efficiency in terms of costs to the subjects, and information gain for the researcher. The basic problem of maximizing the differentiations among subjects on a dependent variable is equivalent to the problem of maximizing information gain for a given cost in behavioral science research procedures. The distribution resulting from this maximization process, under certain circumstances, also minimizes two cost quantities of interest in such procedures, the average cost per subject and the average cost per unit information. Two data sets are examined in order to illustrate the use of this criterion of research efficiency. </jats:p