Selective search in short-term memory under ideal conditions of test stimulus categorization

It has often been claimed that short-term memory search is not selective because it takes longer to categorize the test stimulus than to search throughout the whole memory set. Four experiments investigated whether evidence for selective search can be obtained when effectively no time is required to categorize the test stimulus. Even under this favorable condition, no evidence was found for selective search of only the relevant memory subset. Therefore, the time to categorize a test stimulus cannot be the only reason why short-term memory search is not selective.     

German Muslims and the ‘Integration Debate’: Negotiating Identities in the Face of Discrimination

Based on five focus groups (total N?=?56) with German Muslims, we analyze discourses on the experience of discrimination and feelings of national and religious attachment. The focus groups took place in mid to late 2010 in four German cities. Whereas only few participants describe personal discrimination by non-Muslim Germans, almost all participants complain about being collectively discriminated and rejected. This perception triggers processes of confirming their original cultural identity, primarily their Muslim affiliation and of strengthening the boundary towards the wider society. The analysis of the discourse shows the participants to fall back into an essentialized way of thinking that makes their ethnic being incompatible with being German; and they resort to their Muslim roots as a cultural resource for identity construction and self-worth. Others cope with their feeling of rejection by engaging in local politics and sports activities that allows them to attribute themselves a hyphenated identity as Turkish-Germans. The findings are discussed in terms of social identity, psychological essentialism, transnationalized religion, and boundary making.     

Situational effects in trait assessment: The FPI,NEOFFI, and EPI questionnaires

While most researchers do agree now that situations may have an effect in the assessment of traits, the consequences have been neglected, so far: if situations affect the assessment of traits we have to take this fact into account in studies on reliability and validity of measurement instruments and their application. In the theoretical part of this article we provide a more formal exposition of this point, introducing the basic concepts of latent state–trait (LST) theory. LST theory and the associated models allow for the estimation of the situational impact on trait measures in non-experimental, correlational studies. In the empirical part, LST theory is applied to three well known trait questionnaires: the Freiburg Personality Inventory, the NEO Five-Factor Inventory and the Eysenck Personality Inventory. It is shown that significant proportions of the variances of the scales of these questionnaires are due to situational effects. The following consequences of this finding are discussed, (i) Instead of the reliability coefficient, the proportion of variance due to the latent trait, the consistency coefficient, should be used for the estimation of confidence intervals for trait scores, (ii) To reduce the situational effects on trait estimates it may be useful to base such an estimate on several occasions, i.e., to aggregate data across occasions. (iii) Reliability and validity studies should not only be based on a sample of persons representative of those to whom the test will be applied; they should also be conducted in situational contexts representative of the intended applications.     

Antihypertensive treatment,compliance, and quality of life: Review of a little-understood relation

If patients notoriously violate treatment regimens known to effectively control hypertension, then there must be some subjective costs associated with adherence to these regimens. Generally speaking, there must be some reduction in quality of life associated with antihypertensive medication. Unfortunately the concept of quality of life, due to its lack of specificity, is of little help in further investigating the nature of these subjective costs. We developed a simple neuropsychophysiological model based on fundamental psychological and physiological processes: corticoinhibitory effects of phasic blood pressure elevation reduce the aversive or painful qualities of many stressors. This negative reinforcement increases the rate of the reinforced physiological behavior, i.e., phasic analgesic blood pressure increases. Such negatively reinforced operant behavior is known to be extremely resistant to extinction. Counter actions such as taking antihypertensive medication not only lead to reduced quality of life due to their cancellation of the analgesic effect of conditioned blood pressure increase, but also lead to some form of reluctance to comply with treatment. The model not only provides an innovative etiological path to the emergence of neurogenic essential hypertension, but also yields a highly specific and lean concept of quality of life. Furthermore, it supplies the health care community with a concise explanation for the well-known low compliance of patients with their antihypertensive regimens. In addition to its parsimony, the model fits well with various experimental findings and has been operationalized and tested empirically. Specific therapeutic implications can be derived.     

Testing the race model inequality: An algorithm and computer programs

In divided-attention tasks, responses are faster when two target stimuli are presented, and thus one is redundant, than when only a single target stimulus is presented. Raab (1962) suggested an account of this redundant-targets effect in terms of a race model in which the response to redundant target stimuli is initiated by the faster of two separate target detection processes. Such models make a prediction about the probability distributions of reaction times that is often called the race model inequality, and it is often of interest to test this prediction. In this article, we describe a precise algorithm that can be used to test the race model inequality and present MATLAB routines and a Pascal program that implement this algorithm.