Memory and display search in binary classification reaction time

Attention, Perception, & Psychophysics - Character classification tasks and “same” “different” judgments of letter strings were examined with reference to major...     

Self-posed behaviors of females and males in photographs

In a previous study, Ragan (1982) found systematic sex differences in the poses of persons photographed by professional photographers. In this study, 34 female and 34 male subjects posed themselves for a confederate, allegedly a photography student, who took the photographs from which data were drawn to assess sex differences in self-posed photographs. A MANOVA revealed overall significance with females smiling, canting, and orientating away from the camera more than males. An ANOVA produced significant sex differences for only the smiling data. Results are discussed in terms of Goffman's (1976) suggestion that photographers introduce their distortions into photographs and in terms of Duval and Wicklund's theory of objective self-awareness (1972).The author gratefully acknowledges the photographic assistance of Pam Bugg, Clay Langley, Jim Hamilton, and Susan Moore.     

MATERNITY LEAVE, ROLE QUALITY, WORK INVOLVEMENT, AND MENTAL HEALTH ONE YEAR AFTER DELIVERY

Employment status, maternity leave, and role quality were investigated as predictors of women's mental health one year after delivery. Homemakers and part-time and full-time employees did not differ on measures of depression, anxiety, anger, or self-esteem. There were no main effects of leave length. Distress was associated with job overload, role restriction, and infant distress. Leave length interacted with the relative salience of work and family, and employment status interacted with employment preference to predict distress. Depression was greatest among women relatively high in work salience when leaves were long. Anxiety and anger were greatest among women whose employment status was not congruent with their preferences. These interactions underscore the importance of individual differences in responses to leave and work.     

Reliability of the Wraparound Observation Form: An Instrument to Measure the Wraparound Process

Within the past decade, the wraparound approach has gained significant popularity in providing services to children with challenging social and family needs. While a plethora of wraparound programs have been developed and studies have been conducted to assess their effectiveness, the need to develop instruments that measure the implementation of wraparound services is clear. The purpose of the present study was to evaluate the reliability of a scale that measures wraparound services. In this study, the Wraparound Observation Form (WOF), was developed to evaluate the implementation of the wraparound process in treatment planning meetings. The WOF includes 34 closed-ended items that requires the respondent to note the occurrence or non-occurrence of specific events or behaviors at treatment planning meetings. In the present study, two data collectors attended planning meetings and independently completed the WOF. The inter-rater reliability was 95%. The WOF appears to be a reliable instrument and be appropriate in evaluating wraparound services.     

Parsing to Learn

Learning a language by parameter setting is almost certainly less onerous than composing a grammar from scratch. But recent computational modeling of how parameters are set has shown that it is not at all the simple mechanical process sometimes imagined. Sentences must be parsed to discover the properties that select between parameter values. But the sentences that drive learning cannot be parsed with the learner's current grammar. And there is not much point in parsing them with just one new grammar. They must apparently be parsed with all possible grammars, in order to find out which one is most successful at licensing the language. The research task is to reconcile this with the fact that the human sentence parsing mechanism, even in adults, has only very limited parallel parsing capacity. I have proposed that all possible grammars can be folded into one, if parameter values are fragments of sentential tree structures that the parser can make use of where necessary to assign a structure to an input sentence. However, the problem of capacity limitations remains. The combined grammar will afford multiple analyses for some sentences, too many to be computed on-line. I propose that the parser computes only one analysis per sentence but can detect ambiguity, and that the learner makes use of unambiguous input only. This provides secure information but relatively little of it, particularly at early stages of learning where few grammars have been excluded and ambiguity is rife. I consider three solutions: improving the parser's ability to extract unambiguous information from partially ambiguous sentences, assuming default parameter values to temporarily eliminate ambiguity, reconfiguring the parameters so that some are subordinate to others and do not present themselves to the learner until the others have been set. A more radical alternative is to give up the quest for error-free learning and permit parameters to be set without regard for whether the parser may have overlooked an alternative analysis of the sentence. If it can be assumed that the human parser keeps a running tally of the parameter values it has accessed, then the learner would do nothing other than parse sentences for comprehension, as adults do. The most useful parameter values would become more and more easily accessed; the noncontributors would drop out of the running. There would be no learning mechanism at all, over and above the parser. But how accurate this system would be remains to be established.