Item performance in visual word recognition

Standard factorial designs in psycholinguistics have been complemented recently by large-scale databases providing empirical constraints at the level of item performance. At the same time, the development of precise computational architectures has led modelers to compare item-level performance with item-level predictions. It has been suggested, however, that item performance includes a large amount of undesirable error variance that should be quantified to determine the amount of reproducible variance that models should account for. In the present study, we provide a simple and tractable statistical analysis of this issue. We also report practical solutions for estimating the amount of reproducible variance for any database that conforms to the additive decomposition of the variance. A new empirical database consisting of the word identification times of 140 participants on 120 words is then used to test these practical solutions. Finally, we show that increases in the amount of reproducible variance are accompanied by the detection of new sources of variance.     

Assessment of Implicit Health Attitudes: A Multitrait–Multimethod Approach and a Comparison Between Patients With Hypochondriasis and Patients With Anxiety Disorders

Two adaptations of the Implicit Association Task were used to assess implicit anxiety (IAT–Anxiety) and implicit health attitudes (IAT–Hypochondriasis) in patients with hypochondriasis (n = 58) and anxiety patients (n = 71). Explicit anxieties and health attitudes were assessed using questionnaires. The analysis of several multitrait–multimethod models indicated that the low correlation between explicit and implicit measures of health attitudes is due to the substantial methodological differences between the IAT and the self-report questionnaire. Patients with hypochondriasis displayed significantly more dysfunctional explicit and implicit health attitudes than anxiety patients, but no differences were found regarding explicit and implicit anxieties. The study demonstrates the specificity of explicit and implicit dysfunctional health attitudes among patients with hypochondriasis.     

A Matlab function to estimate choice model parameters from paired-comparison data

Tversky (1972) has proposed a family of models for paired-comparison data that generalize the Bradley—Terry—Luce (BTL) model and can, therefore, apply to a diversity of situations in which the BTL model is doomed to fail. In this article, we present a Matlab function that makes it easy to specify any of these general models (EBA, Pretree, or BTL) and to estimate their parameters. The program eliminates the time-consuming task of constructing the likelihood function by hand for every single model. The usage of the program is illustratedby several examples. Features of the algorithm are outlined. The purpose of this article is to facilitate the use of probabilistic choice models in the analysis of data resulting from paired comparisons.     

Motive congruence and interpersonal identity status

This article examines the relationship between interpersonal ego identity formation and congruence of self-attributed and implicit affiliation motives. A TAT-type picture-story test, the Personality Research Form, and the Extended Objective Measure of Ego Identity Status were administered to 177 participants to assess data on affiliation motivation and interpersonal identity formation. According to a scoring system developed by Winter, the picture stories were coded for need for Affiliation. Analyses revealed that motive congruence is significantly associated with participants' level of identity achievement and identity foreclosure in the interpersonal domain. Such a relationship could not be identified for identity diffusion and moratorium.