Seeing the World in Pink and Blue: Developing and Exploring a New Measure of Essentialistic Thinking about Gender

Sex Roles - Essentialism, or the belief that certain categories have fundamental, intrinsic, and stable essences, pervasively influences social judgments. Among the many groupings that describe...     

Exploring Wellbeing in Youth with Vision Impairment: Insights for Vision Rehabilitation

Applied Research in Quality of Life - This article explores the discussions of 21 young Australians (aged 12–25) with vision impairment regarding their lived experiences and what it meant for...     

Distinct Activity Patterns of the Human Bed Nucleus of the Stria Terminalis and Amygdala during Fear Learning

Neuropsychology Review - The amygdala and, more recently, also the bed nucleus of the stria terminalis, have been widely implicated in fear and anxiety. Much of our current knowledge is derived...     

Psychometric properties of attitudinal measures of behavioral treatment in geriatric settings

Internal consistency of two forms of the Geriatric Treatment Acceptability Survey (GTAS) and the Attitudes toward Behavior Analysis Scale (ABAS), a global measure of attitudes toward behavior modification, was evaluated. Alpha coefficients regarding treatment acceptability ratings for GTAS Form H were: (a) wandering 0.94; (b) hoarding 0.96; (c) disruptive behavior 0.92; (d) property destruction 0.95; and (e) aggression 0.94. Internal consistency for Form NH was: (a) wandering 0.96; (b) hoarding 0.97; (c) disruptive behavior 0.96; (d) property destruction 0.97; and (e) aggression 0.76. Internal consistency of the ABAS resulted in alpha coefficients of 0.90 (total score); 0.87 (ethics and humaneness); and 0.76 (use). These measures appear useful in assessing older adults, nursing home patients' and geriatric nursing staffs' global and specific attitudes regarding the use of behavioral treatments with older adults. Further research is needed to establish psychometric constructs assessed by the instruments and sensitivity to detecting change in attitudes based on educational or clinical interventions.     

Further Support for a Hierarchical Model of Affect: Reply to Green and Salovey

Green and Salovey agree with us that happiness and sadness are strongly bipolar, and that Positive and Negative Activation are not. However, Green and Salovey subscribe to the two-dimensional circumplex, a model we find wanting. Actually, the problems they discuss arise from the limitations of the circumplex rather than from issues fundamental to affective structure. And they do not consider the evidence, reported in our target article, that supports an alternative to the circumplex: a three-level hierarchical model. In this reply, we take a closer look at the empirical findings supporting this model, and we emphasize its heuristic promise.     

Influence analysis of structural equation models with polytomous variables

The estimation of model parameters in structural equation models with polytomous variables can be handled by several computationally efficient procedures. However, sensitivity or influence analysis of the model is not well studied. We demonstrate that the existing influence analysis methods for contingency tables or for normal theory structural equation models cannot be applied directly to structural equation models with polytomous variables; and we develop appropriate procedures based on the local influence approach of Cook (1986). The proposed procedures are computationally efficient, the necessary bits of the proposed diagnostic measures are readily available following an usual fit of the model. We consider the influence of an individual cell frequency with respect to three cases: when all parameters in an unstructured model are of interest, when the unstructured polychoric correlations are of interest, and when the structural parameters are of interest. We also consider the sensitivity of the parameters estimates. Two examples based on real data are presented for illustration.The work described in this paper was partially supported by a Chinese University of Hong Kong Postdoctoral Fellows Scheme and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (RGC Ref. No. CUHK4186/98P). We are indebted to P.M. Bentler and M.D. Newcomb for providing the data set, Michael Leung for his assistance, and the Editor and the referees for some very valuable comments.