The perception of false self scale for adolescents: Reliability,validity, and longitudinal relationships with depressive and anxious symptoms

A scale assessing generalized false self‐perceptions (Perceptions of False Self, POFS) was developed and tested across three studies involving a total of 331 adolescents (11–16 years). In Study 1, interviews were conducted to develop items for the scale. In Study 2, psychometric techniques were used to derive a scale composed of 16 items. Study 2 also assessed the validity of the scale: depressive symptoms were found to increase POFS across 10 weeks, whereas false self‐perceptions had a reciprocal effect on anxiety. In Study 3, the convergent validity of the POFS scale was established. Overall, the evidence suggests that the POFS scale is a reliable and valid measure of generalized false self‐perceptions.     

Linking yesterday and tomorrow: Preschoolers' ability to report temporally displaced events

Various lines of research have recently reported links between the ability to recall past and imagine future episodes. Here I report evidence that such links exist in development. Eighty‐two children were asked to report what they did yesterday and what they are going to do tomorrow. Children who could answer one were also more likely to answer the other question. Furthermore, there was an association between the quantity of responses for past and future questions. This correlation continued to be significant even when controlling for children's capacity to answer similar questions that did not have a temporal, episodic component (e.g., ‘tell me all the things that you can think of that are red’). Together, these results are in line with the growing evidence for fundamental links in the neuro‐cognitive resources involved in thinking about past and future events.     

Perceptual Categorization: Connectionist Modelling and Decision Rules

Although it is currently popular to model human associative learning using connectionist networks, the mechanism by which their output activations are converted to probabilities of response has received relatively little attention. Several possible models of this decision process are considered here, including a simple ratio rule, a simple difference rule, their exponential versions, and a winner-take-all network. Two categorization experiments that attempt to dissociate these models are reported. Analogues of the experiments were presented to a single-layer, feed-forward, delta-rule network. Only the exponential ratio rule and the winner-take-all architecture, acting on the networks' output activations that corresponded to responses available on test, were capable of fully predicting the mean response results. In addition, unlike the exponential ratio rule, the winner-take-all model has the potential to predict latencies. Further studies will be required to determine whether latencies produced under more stringent conditions conform to the model's predictions.