Inhibition, Contextual Segregation, and Subject Strategies in List Method Directed Forgetting

This experiment tested alternative explanations of list method directed forgetting effects. Two word lists were studied by 135 subjects. Between lists, subjects were instructed to remember both lists (remember group), remember both lists as well as in which list words were studied (segregate group), or to forget the first list and remember the second (forget group). All subjects took both recall and recognition tests with test order varied between subjects. Among subjects who took the recall test first, the forget group showed a directed forgetting effect (poorer performance on List 1 than List 2) with both recall accuracy, recall typing time, and recognition reaction time measures. Contextual segregation of List 1 words by forget subjects was ruled out as a sufficient cause of the effect. Limited support was obtained for a differential rehearsal explanation of the effect. Within-group comparisons and findings of release from directed forgetting support inhibitory processes as the major cause of the directed forgetting effect.     

Scalable choice models

Two representational criteria for probabilistic choice models are studied. These criteria, called scalability and weak scalability, are shown to be characterized by behavioral axioms designated, respectively, as pairwise dependence and weak pairwise dependence. The former is shown to be equivalent to the order independence axiom of Tversky. In addition, structural conditions on the choice alternatives are established under which all axioms are equivalent.     

Treatments of bias in detection and recognition models: A review

The review considers various proposals about the form of isobias curves and about the relation between bias and bias conditions (payoff, presentation probability, and instructions). Though the proposals differ sharply, none of them proves to be adequately supported by existing evidence. There has been a curious tendency to appeal to a priori arguments, to consider only a very restricted set of alternatives from among the published proposals, to contrast proposals at levels of performance where their predictions are minimally different, and to ignore existing evidence. The review tries to provide a solid basis for more adequate experimental work in the future.     

Some evidence on additive learning models

Deterministic and probabilistic additive learning models forsignal detection/recognition replace the fixed criterion of classical detection models with one which shifts from trial to trial in the light of the preceding trial events. Data from a sinusoid in noise detection task without feedback and an auditory amplitude recognition task with feedback are used to test these models with respect to their predictions about asymptotic response frequency, and, where possible, by likelihood ratio tests. These and some previous experiments show that whether or not feedback is given subjects do not universally probability match, overmatch, undermatch, or keep response probability constant over discriminability, so that none of the testable special models can fit more than a proportion of subjects. The likelihood ratio tests confirm this conclusion for the special deterministic models. The six-parameter general deterministic model does nonsignificantly better than an ad hoc six-parameter response runs model in fitting the recognition data and significantly better than the five-parameter memory recognition model of Tanner, Rauk, andAtkinson (1970). Monte Carlo methods are used to confirm the applicability of asymptotic response frequency results to practically feasible sample sizes.     

The psychological health of employed and unemployed recent graduates as a function cognitive appraisal and of coping

In the literature on the effects of unemployment on graduates two competing hypothesis have found support. On one hand graduates have higher expectations about status and occupational identity, hence being unemployed should be more distressing. On the other hand graduates have access to more personal and situational resources and should cope better with the stress of unemployment. In a study of 181 recent graduates it was found that those who were employed (n = 88) scored higher on both somatization and interpersonal sensitivity than those who were unemployed (n = 93). A large percentage also reported not being in the job to which they aspired and scored low on job commitment. The unemployed graduates had a more positive approach to problem-solving, higher achievement motivation, more perceived social support, were more assertive, and felt less hopeless than their employed peers. They also engaged in more constructive leisure activities than the employed group. The data provide tentative support for the hypothesis that graduates are better at coping with unemployment. However the indication is that any advantage to be gained is relative to the type of job occupied by the employed group to whom they are compared. The general conclusion is that opting for a job which does not meet expectations or aspirations may be more psychologically damaging in the short term than being unemployed and hopeful. This is a function of the individual's vulnerability or resistance to stress and highlights the need for graduates to be prepared more effectively for the path to a career.     

Are Better Workers Also Better Humans? On Pharmacological Cognitive Enhancement in the Workplace and Conflicting Societal Domains

The article investigates the sociocultural implications of the changing modern workplace and of pharmacological cognitive enhancement (PCE) as a potential adaptive tool from the viewpoint of social niche construction. We will attempt to elucidate some of the sociocultural and technological trends that drive and influence the characteristics of this specific niche, and especially to identify the kind of capabilities and adaptations that are being promoted, and to ascertain the capabilities and potentialities that might become diminished as a result. In this context, we will examine what PCE is, and how and why it might be desirable as a tool for adaptation within the workplace. As human beings are, or at least should be allowed to be, more than merely productive, able-bodied and able-minded workers, we will further examine how adaptation to the workplace niche could result in problems in other domains of modern societal life that require the same or other cognitive capabilities. In this context we will also focus on the concept of responsibility and how it pertains to PCE and the modern workplace niche. This will shed some light on the kind of trends related to workplace niche construction, PCE and capability promotion that we can expect in the future, and on the contexts in which this might be either beneficial or detrimental to the individual as a well-rounded human being, and to other members of society.     

An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling

In recent years, there has been a growing interest among researchers in the use of latent class and growth mixture modeling techniques for applications in the social and psychological sciences, in part due to advances in and availability of computer software designed for this purpose (e.g., Mplus and SAS Proc Traj). Latent growth modeling approaches, such as latent class growth analysis (LCGA) and growth mixture modeling (GMM), have been increasingly recognized for their usefulness for identifying homogeneous subpopulations within the larger heterogeneous population and for the identification of meaningful groups or classes of individuals. The purpose of this paper is to provide an overview of LCGA and GMM, compare the different techniques of latent growth modeling, discuss current debates and issues, and provide readers with a practical guide for conducting LCGA and GMM using the Mplus software.