Development and Initial Validation of an Implicit Measure of Religiousness‐Spirituality

An implicit measure of religiousness‐spirituality (RS) was constructed and used in two studies. In Study 1, undergraduates completed a Religiousness‐Spirituality Implicit Association Test (RS‐IAT) and several self‐report measures of RS and related constructs (e.g., religious fundamentalism, authoritarianism). Informants rated the participants’ RS. The RS‐IAT was internally consistent. Implicit RS correlated positively with self‐reported RS, spiritual transcendence, spiritual experiences, religious fundamentalism, and intrinsic religiousness. Informant ratings correlated positively with participants’ self‐reported religiousness but not implicit RS. In Study 2, implicit RS accounted for unique variability in self‐reported attitudes toward gay men and lesbian women when controlling for self‐reported religiousness and right‐wing authoritarianism. These findings demonstrate that an implicit measure of trait RS explains some variability in attitudes that self‐report measures do not. An implicit measure of RS could advance the scientific study of religion beyond what is known from self‐report measures.     

Social Representations of AIDS: Pictures in Abnormal Psychology Textbooks, 1984–20051

We identified 129 pictures relating to AIDS/HIV in 94 abnormal psychology textbooks published between 1984 and 2005. Pictures included 189 persons with AIDS/HIV status or risk and 134 AIDS‐related objects; they appeared in chapters on stress, sexual issues, substance abuse, and organic brain disorders. Individuals depicted were overwhelmingly male, White, adult, of unspecified sexual orientation, and undiagnosed with mental disorder. The most frequent AIDS‐related objects were signs and posters, hospital furnishings, and drug paraphernalia. Thematic motifs across pictures included patient, information source, junkie, support group, celebrity, child victim, protesters, memorials, condom dispensary, and viral attack. Images of AIDS continue to invoke concepts of “the Other,” death, victimization, and culpability. It is difficult to discuss AIDS without accessing its stereotypes.     

Enhancing children's event recall after long delays

The effects of context reinstatement as means of enhancing 5‐ and 6‐year‐old children's event memory in repeated interviews after a 6‐month delay were examined. Children were interviewed immediately after the event (baseline interview) and twice at a 6‐month delay, with 24 hours between interviews. The first 6‐month interview was conducted in a perfect‐context reinstatement (n = 15), imperfect‐context reinstatement (n = 16), or no‐context reinstatement (n = 15) condition. The second 6‐month interview was conducted 24 hours later with no‐context reinstatement for all children. Context reinstatement attenuated the effects of delay on recall. The accuracy of the details reported was greater in the perfect‐context compared to the imperfect‐context and no‐context conditions. Details repeated between the immediate‐baseline interview and in the first 6‐month interview were more accurate than details repeated between the first and second 6‐month interview. There was no increase in recall (hypermnesia) across the first and second 6‐month interviews in any condition. Practical implications of these findings are discussed. Copyright © 2006 John Wiley & Sons, Ltd.     

An evaluation of in situ training to teach sexual abuse prevention skills to women with mental retardation

The current study evaluated a behavioral skills training (BST) program in combination with in situ training to teach sexual abuse prevention skills to five women with mild to moderate mental retardation. In situ assessments were conducted following BST and in situ training sessions were conducted for those who were unable to demonstrate the skills in the natural setting. The results showed that generalization of the safety skills to the natural setting occurred for three of the five participants following one to two in situ training sessions. One participant required 12 in situ training sessions and three booster training sessions to reach criterion level. Three of four participants assessed 1 month following training maintained the skills. Copyright © 2007 John Wiley & Sons, Ltd.     

The effect of linguistic abstraction on interpersonal distance

It is well known that people describe positive behaviors of others close to them (e.g., in‐group member, friend) in abstract terms, but with concrete terms in the case of people who they are not close to (e.g., out‐group member, enemy). In contrast, negative behaviors of people who we are close to are described in concrete terms, but in abstract terms for people who are distant. However, the communicative impact of such subtle differences in language use on a receiver who is also the actor of the behavior being described has never been addressed. We hypothesized and found that a positive abstract message compared to a positive concrete message leads to perceived proximity to the sender, while a negative abstract message compared to a negative concrete message leads to perceived distance. The implications of this study, which is the first to show the communicative impact of biased language use, are discussed. Copyright © 2006 John Wiley & Sons, Ltd.     

Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.