Sexual experience and preference for males or females in the female rat

The influence of sexual experience on preference behavior was investigated in adult female rats. In the first experiment, preference behavior for sexually active males versus estrous females was investigated in female rats who were experienced with mounting behavior. Preference of these mount experienced females was compared to preference of females who were naive in this respect. Mount experience with estrous females induced a female-directed preference in ovariectomized female rats, irrespective of whether the females were treated with OIL or with testosterone-propionate (500 micrograms TP, injected once 48 h prior to testing). Sexually naive, OIL-treated females did not show a preference for males or females, but TP induced a preference for a male. Individual differences in mount frequency were not correlated with preference behavior. In the second experiment, the influence of experience with feminine sexual responses on preference behavior was investigated. OIL-treated and TP-treated females oriented equally toward males and females when they had been given the opportunity to copulate with males prior to the preference tests. The results strongly suggest that prior sexual experience is an important determinant of preference behavior. The female's behavior during sexual interactions was, however, not predictive of later preference.     

Discovering what it all means

This article deals with appropriate communication and interpersonal skills that nurses may use in order to support patients who are experiencing self-concept changes related to their health problems. Three areas of patient need related to self-concept are explored. The stages of adaptation to loss and the crucial task of grief work are reviewed, and nursing interventions designed to strengthen the self-concept and support patients as they adapt to loss are suggested. Sensitive communication, although a low-visibility nursing skill, is cited as critical in assisting the patient to achieve an optimum level of wellness.     

Spiritual issues in mental health care

Religious and spiritual issues in mental health are explored in the context of four conceptual models: the medical, the nursing, the humanistic, and the pastoral. This is done by looking at each model in terms of content, diagnostic focus, language and treatment goals, and primary qualities in the health provider.The models are illustrated by case studies gathered from a multidisciplinary setting. The discovery that each model can incorporate the religious and spiritual dimension in mental health care, but that each model does this in distinctive ways, is a key point.     

Computer-generated psychological reports: a look at the modern psychometric machine

The proliferation of computer-generated psychological reports prompts an examination of the presuppositions of such reports and what they offer in the way of understanding individual clients. This topic is approached primarily through a review of some basics of psychological testing and psychological assessment. Major differences are noted between these two approaches to evaluating clients: They are different processes, and they yield different products. Assessment is a complex set of activities that seeks solutions to specific problems, whereas testing fits a straightforward actuarial paradigm. Testing is readily adapted to an automated data processing system, whereas the complex of assessment procedures cannot be so managed. Serious questions about the validity of computer reports are raised, however, and ethical concerns are expressed over the use of these reports by persons without adequate psychological training to understand them correctly. Limited uses for computer reports are suggested along with the need for further studies of validity and ethics.     

On structural equation modeling with data that are not missing completely at random

A general latent variable model is given which includes the specification of a missing data mechanism. This framework allows for an elucidating discussion of existing general multivariate theory bearing on maximum likelihood estimation with missing data. Here, missing completely at random is not a prerequisite for unbiased estimation in large samples, as when using the traditional listwise or pairwise present data approaches. The theory is connected with old and new results in the area of selection and factorial invariance. It is pointed out that in many applications, maximum likelihood estimation with missing data may be carried out by existing structural equation modeling software, such as LISREL and LISCOMP. Several sets of artifical data are generated within the general model framework. The proposed estimator is compared to the two traditional ones and found superior.The research of the first author was supported by grant No. SES-8312583 from the National Science Foundation and by a Spencer Foundation grant. We wish to thank Chuen-Rong Chan for drawing the path diagram.