Unconscious Familiarity and Local Context Effects on Low-Level Face Processing: A Reconstruction Hypothesis

A common view in face recognition research holds that there is a stored representation specific to each known face. It is also posited that semantic or memory-based information cannot influence low-level face processing. The two experiments reported in this article investigate the nature of this representation and the flow of face information processing. Participants had to search for a particular primed face among other faces. In Experiment 1, the search was done in a context where distractors had either a different degree of fame or the same degree of fame. In Experiment 2, the target face was primed either with semantic information or without any information. Both experiments demonstrated that increasing the display set size lengthened face detection time. However, the lengthening was a function of face fame. The search context also had an effect on the slope of the famous face detection. The results are explained in terms of the idea that face representations are reconstructed and that high- and low-level information are integrated into the processing. The integration process is not a conscious one.     

Evidence for blatant dehumanization of mental illness and its relation to stigma

ABSTRACT

People with mental illness face stigma, and due to their low social status, they may also face blatant dehumanization that denies their status as fully evolved human beings. In the current research, three studies documented the existence of blatant dehumanization of mental illness. Study 1 (N = 112) showed that participants rated people with mental illness in general as being significantly less human than other dehumanized social groups such as Mexican immigrants and Muslims. Study 2 (N = 158) showed that dehumanization occurs for specific mental disorders but that the level of dehumanization varies widely among disorders. Study 3 (N = 223) documented significant correlations between dehumanization of mental illness and standard measures of stigma such as fear, pity, and social distance. Overall, the results establish the relevance of blatant dehumanization to mental illness stigma and suggest new directions for understanding stigma.     

Meta-Analytic Analysis of Invariance Across Samples: Introducing a Method That Does Not Require Raw Data

Abstract

Invariance of surveys across different groups means that the respondents interpret the items in the same way, as reflected in similar factor loadings, for example. Invariance can be assessed using various statistical procedures, such as Multi-Group Confirmatory Factor Analysis. However, these analyses require access to raw data. Here, we introduce a meta-analytic method that requires only the factor correlation matrices of samples as input. It compares the structures of intercorrelations of factors by correlating these values across two samples, yielding a value of overall similarity for how the factors intercorrelate in different samples. This method was tested in three different ways. We conclude that the method yields useful results and can assess invariance when raw data are not available.