Does self-consciousness mediate the relation between self-talk and self-knowledge?

Building on Morin's understanding of the relations among self-talk, self-consciousness, and self-knowledge, this study examined the hypothesis that functional and dysfunctional self-consciousness mediate between self-talk and self-knowledge. A self-report questionnaire including 10 scales assessing different aspects of Self-talk, Self-consciousness, and Self-knowledge was administered to 200 German undergraduate university students (95 women, 105 men). Mediation analysis showed that the observed negative relationship between Self-talk and Self-knowledge was mediated by Dysfunctional Self-consciousness, while Functional Self-consciousness acted like a supressor variable. The discussion focuses on limitations of the present measures of Self-talk.     

Attentional load and implicit sequence learning

A widely employed conceptualization of implicit learning hypothesizes that it makes minimal demands on attentional resources. This conjecture was investigated by comparing learning under single-task and dual-task conditions in the sequential reaction time (SRT) task. Participants learned probabilistic sequences, with dual-task participants additionally having to perform a counting task using stimuli that were targets in the SRT display. Both groups were then tested for sequence knowledge under single-task (Experiments 1 and 2) or dual-task (Experiment 3) conditions. Participants also completed a free generation task (Experiments 2 and 3) under inclusion or exclusion conditions to determine if sequence knowledge was conscious or unconscious in terms of its access to intentional control. The experiments revealed that the secondary task impaired sequence learning and that sequence knowledge was consciously accessible. These findings disconfirm both the notion that implicit learning is able to proceed normally under conditions of divided attention, and that the acquired knowledge is inaccessible to consciousness. A unitary framework for conceptualizing implicit and explicit learning is proposed.     

An accumulator model for responses and response times in tests based on the proportional hazards model

Latent trait models for responses and response times in tests often lack a substantial interpretation in terms of a cognitive process model. This is a drawback because process models are helpful in clarifying the meaning of the latent traits. In the present paper, a new model for responses and response times in tests is presented. The model is based on the proportional hazards model for competing risks. Two processes are assumed, one reflecting the increase in knowledge and the second the tendency to discontinue. The processes can be characterized by two proportional hazards models whose baseline hazard functions correspond to the temporary increase in knowledge and discouragement. The model can be calibrated with marginal maximum likelihood estimation and an application of the ECM algorithm. Two tests of model fit are proposed. The amenability of the proposed approaches to model calibration and model evaluation is demonstrated in a simulation study. Finally, the model is used for the analysis of two empirical data sets.     

A Note on the Hierarchical Model for Responses and Response Times in Tests of van der Linden (2007)

Findings suggest that in psychological tests not only the responses but also the times needed to give the responses are related to characteristics of the test taker. This observation has stimulated the development of latent trait models for the joint distribution of the responses and the response times. Such models are motivated by the hope to improve the estimation of the latent traits by additionally considering response time. In this article, the potential relevance of the response times for psychological assessment is explored for the model of van der Linden (Psychometrika 72:287–308, 2007) that seems to have become the standard approach to response time modeling in educational testing. It can be shown that the consideration of response times increases the information of the test. However, one also can prove that the contribution of the response times to the test information is bounded and has a simple limit.     

Response Time Modeling Based on the Proportional Hazards Model

Tests of personality, interests, intelligence, and academic achievement were administered by 271 Ss. The data were processed by the principal component method of factor analysis. Twelve second-order factors were extracted and interpreted after oblique maxplane rotation.     

Robust estimation of the hierarchical model for responses and response times

Van der Linden's (2007, Psychometrika, 72, 287) hierarchical model for responses and response times in tests has numerous applications in psychological assessment. The success of these applications requires the parameters of the model to have been estimated without bias. The data used for model fitting, however, are often contaminated, for example, by rapid guesses or lapses of attention. This distorts the parameter estimates. In the present paper, a novel estimation approach is proposed that is robust against contamination. The approach consists of two steps. In the first step, the response time model is fitted on the basis of a robust estimate of the covariance matrix. In the second step, the item response model is extended to a mixture model, which allows for a proportion of irregular responses in the data. The parameters of the mixture model are then estimated with a modified marginal maximum likelihood estimator. The modified marginal maximum likelihood estimator downweights responses of test-takers with unusual response time patterns. As a result, the estimator is resistant to several forms of data contamination. The robustness of the approach is investigated in a simulation study. An application of the estimator is demonstrated with real data.     

A flexible latent trait model for response times in tests

Latent trait models for response times in tests have become popular recently. One challenge for response time modeling is the fact that the distribution of response times can differ considerably even in similar tests. In order to reduce the need for tailor-made models, a model is proposed that unifies two popular approaches to response time modeling: Proportional hazard models and the accelerated failure time model with log–normally distributed response times. This is accomplished by resorting to discrete time. The categorization of response time allows the formulation of a response time model within the framework of generalized linear models by using a flexible link function. Item parameters of the proposed model can be estimated with marginal maximum likelihood estimation. Applicability of the proposed approach is demonstrated with a simulation study and an empirical application. Additionally, means for the evaluation of model fit are suggested.     

Book reviews

Truth at all Costs. Review of The Kairos Document, Challenge to the Church, published in UK by Catholic Institute for International Relations and the British Council of Churches

The Bengali Muslims of Bradford. Stephen William Barton Community Religions Project Monograph Series, University of Leeds, 1986 243 pp.

Investigating American Occultism. The Occult in America: New Historical Perspectives. edited by Howard Kerr and Charles L Crow. University of Illinois Press, £13.60

Gurdjieff: an annotated bibliography J. Walter Driscoll & the Gurdjieff Foundation of California Garland Publishing. New York, 1985. pp. xxv + 363, $50     

Obstacles to Personal Creativity between Brazilian and Mexican University Students: A Comparative Study

The study focused on personal obstacles to creativity between 385 Brazilian and 305 Mexican university students. The Obstacles to Personal Creativity Inventory, designed and validated by Alencar (1999b), was administered to these students. The results indicated that Lack of Time/Opportunity was the most frequent obstacle. Significant differences were observed between Brazilian and Mexican students in the cluster of obstacles named Lack of Motivation, and between male and female students in the cluster of obstacles named Inhibition/Shyness. The results point to several obstacles to personal creativity which are common among university students. These obstacles should be known by those involved in education in order for them to help students to be less susceptible to obstacles that hinder their creativity.