Case studies of help seeking behaviour among Asian single parents in Singapore

Using structured interviews, we examined patterns of help seeking behaviour for Chinese, Malay and Indian single parents living in Singapore, Four sources of social support-Family, Neighbours/Friends, Professionals and Religion-were identified and related to four problem areas-Financial, Practical, Emotional and Information. As expected, support for our sample of Asian single parents was most likely to come from the family, and least likely to come from friends and neighbours. However, there were differences between the three ethnic groups across problem areas in the type of support they were most likely to receive. The generalizability of our results is limited by the small sample size, but a framework for understanding help seeking behaviour of Singaporean Asians is proposed.     

Levels of Analysis and Effects: Clarifying Group Influence and Climate by Separating Individual and Group Effects

This article addresses conceptual and methodological levels of analysis issues in research on work group and organizational settings. Using organizational climate data, it provides a detailed example of the use of a recent data analysis model (Kenny & La Voie, 1985) which separates individual and group effects. The reanalysis of an earlier study of organizational climate influences on three dependent variables (Giamartino & Wandersman, 1983) revealed that several important relationships between climate dimensions and the dependent variables were masked in the earlier study. Implications for potential misinterpretations within existing group and organizational research are drawn and suggestions for addressing theoretical and measurement problems involving climate research are offered.     

Changes in resident mix in nursing homes: cognitive and sensory data from a (redesigned) sampling plan

In planning and implementing a study, we unintentionally and serendipitously obtained data about changes in resident mix over a 2.8-yr. period. We screened residents of a 184-bed nursing home for cognition and sensorium in October 1984 to assess sampling feasibility for a grant proposal in preparation. At that time, 65.2% of the residents met the sampling criteria. However, in July/August 1987, after award of funding, only 5.4% of residents of the same nursing home met the cognitive and sensory criteria. We were forced to recruit from an additional six nursing homes, in which only 9.3% of residents met the sampling criteria.     

Predicting Undergraduate Condom Use with the Fishbein and Ajzen and the Triandis Attitude-Behavior Models: Implications for Public Health Interventions1

The present study used two social-psychological theories of attitude-behavior relationships to investigate condom use by college undergraduates. One purpose of the present research is to provide information for public health practitioners to better design theory-based interventions to reduce the incidence of STD's by increasing the use of condoms. Another purpose is to compare the relative usefulness of two attitude-behavior models in predicting condom use. The Fishbein and Ajzen theory of reasoned action (Ajzen, 1988; Fishbein & Ajzen. 1980) was compared with a version of Triandis' theory of attitude-behavior relations (Triandis, 1977). Of major interest was whether variables in this version of the Triandis model increased the explanatory power of the Fishbein and Ajzen model in the prediction of condom use intention and behavior. In addition, specific outcome beliefs and normative beliefs held by subjects were used to predict condom use. One hundred and ninety college undergraduates were given a questionnaire designed to measure the components of the two models. Three months after completing the questionnaire, subjects were contacted by phone to record the subject's frequency of condom use (if the subject reported having had intercourse) during the 3-month period between initial assessment and follow-up. In the prediction of intention to use a condom, results indicate that one variable from the Triandis model, personal normative beliefs, increases the explanatory power offered by the expectancy value and normative belief components of the Fishbein and Ajzen model. In the prediction of reported condom use during the 3-month follow-up period, two variables from the Triandis model—perceived susceptibility and AIDS fear—significantly increased the predictive power of the Fishbein and Ajzen model. Based on these results, the authors propose an alternative model to explain undergraduate condom use. The implications of these findings for public health interventions to encourage the use of condoms is discussed.     

From model minority to yellow peril: How threat perceptions and disgust predict anti-Asian prejudice during COVID-19

During the COVID-19 pandemic, hate crimes against Asians sharply increased in the United States. We investigated whether the threat of contracting COVID-19 and specific negative emotions (disgust, anxiety, fear, and anger) regarding COVID-19 predicted anti-Asian prejudice in a 3-wave longitudinal study of non-Asian American adults (N = 486) in the early days of the pandemic in 2020. In all 3 timepoints, participants who believed that they may have already contracted COVID and those who expressed greater disgust reported more anti-Asian attitudes, evaluated Asians as less than human, tolerated anti-Asian prejudice, and blamed Asians for spreading COVID-19. In a well-fitting longitudinal path model, we found longitudinal evidence for these associations, such that the belief that one had already contracted COVID-19 in March 2020 predicted greater disgust one month later, in April 2020, which in turn predicted greater anti-Asian prejudice in May 2020.     

Automatic identification of storytelling responses to past-behavior interview questions via machine learning

Structured interviews often feature past-behavior questions, where applicants are asked to tell a story about past work experience. Applicants often experience difficulties producing such stories. Automatic analyses of applicant behavior in responding to past-behavior questions may constitute a basis for delivering feedback and thus helping them improve their performance. We used machine learning algorithms to predict storytelling in transcribed speech of participants responding to past-behavior questions in a simulated selection interview. Responses were coded as to whether they featured a story or not. For each story, utterances were also manually coded as to whether they described the situation, the task/action performed, or results obtained. The algorithms predicted whether a response features a story or not (best accuracy: 78%), as well as the count of situation, task/action, and response utterances. These findings contribute to better automatic identification of verbal responses to past-behavior questions and may support automatic provision of feedback to applicants about their interview performance.     

Brief Report: Exposure to Muscular Male Models Decreases Men’s Body Satisfaction

The current study was designed to examine the effect of exposure to muscular ideal bodies on body satisfaction in men. College men (N= 104) at a medium-sized mid-south university completed the Body Assessment (BA)scale, which measures body satisfaction, before and after exposure to either muscular or nonmuscular advertisements. BA scores were examined using a repeated measures (pre and post) ANOVA with muscularity of image (view images of muscular men vs. view images ofaverage men) as the between-participants factor. Results indicated that men’s self-rated body satisfaction decreased after viewing images of muscular men but did not change after viewing images of average men. Thus, it appears that men’s body satisfaction may be influenced by exposure to brief images of muscular models. These results are congruent with results of previous investigations of the effects of viewing images of thin models on women’s body satisfaction.