Toward a narrative conceptualization of stereotypes: contextualizing perceptions of public housing residents

Expansion of policies aimed at empowering disenfranchised groups, for example, resident/tenant participation in public housing, have been greeted with a great deal of enthusiasm. However, negative beliefs about the intelligence, ability, and morality of these groups, may interfere with the implementation of these policies. A greater understanding of social perceptions may lead to interventions that diminish interference. Traditional stereotyping research methods rely on trait conceptualizations that have been criticized as inadequate to fully describe social perceptions. This study examines the utility of a narrative approach to studying stereotypes about public housing residents. A group of college students (authors) wrote stories about a public housing resident and described the resident using trait objectives. Two readers, one given the story and the other the trait list, predicted how the author responded on various public housing belief and attitude instruments. Results indicate that stories and traits convey unique information not expressed by the other and offer preliminary support for the added usefulness, especially contextual information, of a narrative framework for studying stereotypes. The relevance of a narrative approach for understanding how stereotypes may undermine empowerment-based policies, in this case tenant participation in public housing, will also be explored. Copyright © 2000 John Wiley & Sons, Ltd.     

Parent Ratings of ADHD Symptoms: Differential Symptom Functioning Across Malaysian Malay and Chinese Children

This study examined differential symptom functioning (DSF) in ADHD symptoms across Malay and Chinese children in Malaysia. Malay (N=571) and Chinese (N=254) parents completed the Disruptive Behavior Rating Scale, which lists the DSM-IV ADHD symptoms. DSF was examined using the multiple indicators multiple causes (MIMIC) structural equation modeling procedure. Although DSF was found for a single inattention (IA) symptom and three hyperactivity-impulsivity (HI) symptoms, all these differences had low effect sizes. Controlling for these DSF, Chinese children had higher IA and HI latent factor scores. However the effect sizes were small. Together, these findings suggest adequate support for invariance of the ADHD symptoms across these ethno-cultural groups. The implications of the findings for cross-cultural invariance of the ADHD symptoms are discussed.     

Behavioral assessment of public-speaking anxiety using a modified version of the Social Performance Rating Scale

The current study aimed to extend the evaluation of the utility of the Social Performance Rating Scale (SPRS) [Behav. Res. Ther. 36 (1998) 995]. We examined the utility of a modified SPRS for the behavioral assessment of public-speaking anxiety among patients with social phobia (n = 49). The videotaped performance of public-speaking fearful patients in a public-speaking task was rated using four of the five SPRS ratings and was compared to global ratings by patients and observers, as well as to self-report and clinician-administered measures of social anxiety. The pattern of correlations with criterion measures of social anxiety provided evidence for the convergent and divergent validity of this modified SPRS for the behavioral assessment of public-speaking anxiety.     

Behavioral Characteristics of DSM-IV ADHD Subtypes in a School-Based Population

From an ethnically diverse sample of 2,744 school children, 221 attention deficit hyperactivity disorder (ADHD) [123 (4.5%) predominantly inattentive (IA), 47 (1.7%) predominantly hyperactive/impulsive (HI), and 51 (1.9%) combined type (C)] were identified using teacher ratings on a Diagnostic and Statistical Manual of Mental Disorders (4th ed.) (DSM-IV) symptom checklist. Subjects were compared to 221 controls on teacher ratings of behavioral, academic, and social functioning. The results revealed relatively independent areas of impairment for each diagnostic group. The IA children were impaired in all areas, but were rated as displaying more appropriate behavior and fewer externalizing problems than HI or C children. The HI group displayed externalizing and social problems, but was rated as no different than controls in learning or internalizing problems. The C group demonstrated severe and pervasive difficulties across domains. These findings support the validity of the DSM-IV ADHD subtypes; all ADHD groups demonstrated impairment relative to controls, but show different patterns of behavioral characteristics.     

The many faces of assumed similarity in perceptions of personality

We propose that most coefficients of assumed similarity in acquaintance ratings are based on actual similarity between observer and target rather than any bias to project self onto other. We assessed assumed similarity, actual similarity, and rater accuracy in 62 university roommate dyads who rated each other on 74 personality-related variables. Our findings indicate that our roommates (a) were actually alike on many variables, (b) knew this, rather than assumed it, and (c) applied this knowledge to enhance the accuracy of their ratings. We outline a model of judgment that urges three distinct concepts: true assumed similarity, known similarity, and spurious similarity. We conclude that personality ratings among acquaintances reflecting true assumed similarity are probably rare.     

How useful are corpus-based methods for extrapolating psycholinguistic variables?

Subjective ratings for age of acquisition, concreteness, affective valence, and many other variables are an important element of psycholinguistic research. However, even for well-studied languages, ratings usually cover just a small part of the vocabulary. A possible solution involves using corpora to build a semantic similarity space and to apply machine learning techniques to extrapolate existing ratings to previously unrated words. We conduct a systematic comparison of two extrapolation techniques: k-nearest neighbours, and random forest, in combination with semantic spaces built using latent semantic analysis, topic model, a hyperspace analogue to language (HAL)-like model, and a skip-gram model. A variant of the k-nearest neighbours method used with skip-gram word vectors gives the most accurate predictions but the random forest method has an advantage of being able to easily incorporate additional predictors. We evaluate the usefulness of the methods by exploring how much of the human performance in a lexical decision task can be explained by extrapolated ratings for age of acquisition and how precisely we can assign words to discrete categories based on extrapolated ratings. We find that at least some of the extrapolation methods may introduce artefacts to the data and produce results that could lead to different conclusions that would be reached based on the human ratings. From a practical point of view, the usefulness of ratings extrapolated with the described methods may be limited.