Application of the testing and spacing effects to name learning

Four experiments investigated the effects of testing and spacing on the learning of face‐name stimulus‐response pairs. Experiments 1a and 1b compared the recall of names following intervening tests versus additional study opportunities and found that testing produced better retention of names. Experiments 2 and 3 explored the effects of repeated tests versus study for massed, uniform, or expanded spacing intervals. Tested names were better retained than studied names, spaced names were better retained than massed names, and memory was best for items tested at spaced intervals. Contrary to past findings, expanded schedules did not yield better memory than uniform schedules in either experiment. Theoretical implications for the testing and spacing effects are discussed, along with effective name‐learning techniques based on these principles. Copyright © 2005 John Wiley & Sons, Ltd.     

The ‘why’ and ‘why not’ of job search behaviour: their relation to searching,unemployment experience,and well‐being

Two studies (n = 273 and 254) used self‐determination theory (SDT) to examine unemployed people's motivation both to search and not to search for a job. The self‐regulation questionnaire format (Ryan & Connell, 1989) was used to assess participants' autonomous and controlled job‐search motivation (the ‘why’ of job search) as well as their amotivation for searching. Additionally, both autonomous and controlled motivation for not searching (the ‘why not’ of job search) was assessed. Results provide validity for these five motivational constructs and indicate, in line with SDT, that the constructs predicted reports of search behaviour, affective experiences, and well‐being. The addition of autonomous and controlled motivation for not searching contributed additional predictive power beyond the motivational constructs that focused only on searching. Copyright © 2004 John Wiley & Sons, Ltd.     

Confirmation of correlation between brain nerve conduction velocity and intelligence level in normal adults

In 1992, Reed and Jensen [Intelligence 16 (1992) 259–272] reported a positive correlation (.26; p=.002; .37 after correcting for restricted intelligence range) between a brain nerve conduction velocity (NCV) and intelligence level in 147 normal male students. In the first follow-up of their study, we report on a study using similar NCV methodologies, but testing both male and female students and using more extensive measures of cognitive abilities. One-hundred eighty-six males and 201 females, aged 18–25 years, were tested in three different NCV conditions and with nine cognitive tests, including Raven Progressive Matrices as used by Reed and Jensen. None of the 27 independent correlations in either the males or in the females are significant at Bonferroni-corrected probability levels, but 25 of 27 correlations in males and 20 of 27 correlations in females have positive signs. The exact binomial probabilities for these results are 5.6×10⁻⁶ and .002, respectively. We discuss possible reasons for the differences between the results of Reed and Jensen and our results. We also find that males have four percent faster NCVs than females with each of the three test conditions, probably due to their faster increase of white matter in the brain during adolescence.     

Taking theoretical risks in a world of directional predictions

As Meehl (1978) observed, one major reason for the painfully slow progress of soft psychology is our field’s heavy reliance on directional predictions, which leads to feeble tests of theories. In the present commentary, I outline six ways of taking theoretical risks in a world of directional predictions: (1) constructive replication of findings, (2) generating multiple maximally independent predictions, (3) adherence to the total evidence rule, (4) discriminant validation of measures, (5) incremental validation of measures, and (6) according attention to higher-order personality dimensions.     

Referees' Decision Making in Handball and Transgressive Behaviors: Influence of Stereotypes About Gender of Players?

We offer norm theory as a framework for developing some common ground within both feminist psychology and lesbian and gay psychology about the meaning of empirical differences between social groups. Norm theory is a social cognitive theory that predicts that empirical differences will be consistently explained by taking more typical groups (e.g., men, straight people) as implicit norms for comparison and by attributing differences to less typical groups (e.g., women, lesbians, and gay men). Results of an experiment (N = 114) are presented to show that norms shape interpretations of empirical differences between lesbian/gay and straight persons by (1) leading explanations to focus on attributes of lesbian/gay persons, and (2) leading to judgments that straight persons have less mutable attributes. Stereotypes also affected interpretations; stereotype-consistent results led to more essentialistic explanations and, when targets were female, to higher ratings of the results' importance and fundamentality. We highlight how experiments can be used to understand the process of constructing the meaning of scientific data, and make recommendations for empiricists' interpretive practices and constructionist theories in feminist psychology and lesbian and gay psychology.     

Relationships beliefs and relationship quality across cultures: Country as a moderator of dysfunctional beliefs and relationship quality in three former Communist societies

Research on the correlation between relationship beliefs and quality has rarely considered the impact of culture. In this study, 206 manual workers, students, and entrepreneurs from Georgia, Hungary, and Russia completed a modified Relationship Beliefs Inventory (Eidelson & Epstein, 1982, Journal of Consulting and Clinical Psychology, 50, 715) and the Abbreviated Dyadic Adjustment Scale (Sharpley & Rogers, 1984, Educational and Psychological Measurement, 44, 1045). Results indicated a significant pan‐cultural correlation between dysfunctional beliefs and relationship quality but a moderating effect for country, with dysfunctional beliefs in Hungary explaining more than four times of the variance in relationship quality than in the other countries. Findings are interpreted in light of major value and ecological differences between the three countries.     

Connectionist models of social learning: a case of learning by observing a simple task]

This article proposes a connectionist model of the social learning theory developed by Bandura (1977). The theory posits that an individual in an interactive situation is capable of learning new behaviours merely by observing them in others. Such learning is acquired through an initial phase in which the individual memorizes what he has observed (observation phase), followed by a second phase where he puts the recorded observations to use as a guide for adjusting his own behaviour (reproduction phase). We shall refer to the two above-mentioned phases to demonstrate that it is conceivable to simulate learning by observation otherwise than through the recording of perceived information using symbolic representation. To this end we shall rely on the formalism of ecological neuron networks (Parisi, Cecconi, & Nolfi, 1990) to implement an agent provided with the major processes identified as essential to learning through observation. The connectionist model so designed shall implement an agent capable of recording perceptive information and producing motor behaviours. The learning situation we selected associates an agent demonstrating goal-achievement behaviour and an observer agent learning the same behaviour by observation. Throughout the acquisition phase, the demonstrator supervises the observer's learning process based on association between spatial information (input) and behavioural information (output). Representation thus constructed then serves as an adjustment guide during the production phase, involving production by the observer of a sequence of actions which he compares to the representation stored in distributed form as constructed through observation. An initial simulation validates model architecture by confirming the requirement for both phases identified in the literature (Bandura, 1977) to simulate learning through observation. The representation constructed over the observation phase evidences acquisition of observed behaviours, although this phase alone is not sufficient to ensure accurate reproduction and must be made functional through the production phase (Deakin & Proteau, 2000). Results obtained through a second simulation replicate those produced by Bandura & Jeffery (1973), who observed that the individual tested following the retention phase recalled recorded information better than he realized in the production phase. The outcome of a third simulation shows that, when performing the transfer task, agents performed the task all the more effectively when they were required to learn a simple path which facilitated knowledge transfer to an adjacent situation. New explanatory assumptions of the mechanics of learning through observation may be produced through OLEANNet. Thus, observed deterioration between memorization and production is caused by successive approximations which occur in the acquisition phase then in the production phase. Further, depending on the type of learning undergone by agents, use of representation as a production guide induces a more or less stringent constraint in the approximation of actual behaviour. This results, during the transfer task, in the ability to effectively generalize acquired knowledge where such knowledge is not specifically related to the task at hand. In conclusion, connectionist model architecture appears valid for modeling learning through observation as defined by Bandura (1977). However, certain limitations appear during implementation, especially in terms of the observed behaviour's availability and the planning of produced behaviours that future developments are liable to counter.