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Vier Forschungsansätze im Bereich der Altersintelligenz und des Altersgedächtnisses werden referiert: Untersuchungen (1) Uber unterschiedliche Altersverläufe intellektueller und kognitiver Prozesse, (2) über interindividuelle Variabilität und historischen Wandel, (3) über Plastizität und Reservekapazität und (4) über Leistungsgrenzen. Das Wesen der Altersintelligenz erschöpft sich nicht in einem Prozeß des Leistungsabfalls. Vielmehr treten sowohl Wachstum als auch Abbau und komplexe Wechselwirkungen zwischen beidem auf. Altersbedingter Abbau zeigt sich am ehesten an den Leistungsgrenzen der Grundmechanismen der Intelligenz. Wachstum kann in jenen Bereichen stattfinden, in denen Menschen Wissenssysteme weiterentwickeln und üben (Pragmatik der Intelligenz). Die Methode des Belastungstests (Testing-the-Limits oder Grenztesten) wird als eine Strategie vorgestellt, mit deren Hilfe Mechanismen positiver und negativer Veränderungen beim kognitiven Altern bestimmt werden können. Die Anwendung des kognitiven Belastungstests wird für die neuropsychologische Forschung, beispielsweise für Untersuchungen über die Altersdemenz, empfohlen.
The development of phonetic codes in memory of 141 pairs of normal and disabled readers from 7.8 to 16.8 years of age was tested with a task adapted from L. S. Mark, D. Shankweiler, I. Y. Liberman, and C. A. Fowler (Memory & Cognition, 1977, 5, 623–629) that measured false-positive errors in recognition memory for foil words which rhymed with words in the memory list versus foil words that did not rhyme. Our younger subjects replicated Mark et al., showing a larger difference between rhyming and nonrhyming false-positive errors for the normal readers. The older disabled readers' phonetic effect was comparable to that of the younger normal readers, suggesting a developmental lag in their use of phonetic coding in memory. Surprisingly, the normal readers' phonetic effect declined with age in the recognition task, but they maintained a significant advantage across age in the auditory WISC-R digit span recall test, and a test of phonological nonword decoding. The normals' decline with age in rhyming confusion may be due to an increase in the precision of their phonetic codes.
Dyslexic and normal readers' eye movements were compared while tracking a moving fixation point and in reading. Contrary to previous reports, the dyslexic and normal readers did not differ in their number of saccades, percentage of regressions, or stability of fixations in the tracking task. Thus, defective oculomotor control was not associated with or a causal factor in dyslexia, and the dyslexics' abnormal eye movements in reading must be related to differences in higher cognitive processes. However, individual differences in oculmotor efficiency, independent of reading ability, were found within both the dyslexic and normal groups, and these differences were correlated in reading and tracking tasks.
Elderly adults (N = 116; average age = 73 years) were randomly assigned to one of four treatment groups varying in the amount of training and testing on fluid intelligence tests. They were compared before and after treatment on self-efficacy and utility beliefs for intelligence tests and everyday competence. Although both ability training and extended retest practice resulted in significant gains in objective test performance (Baltes, Kliegl, & Dittmann-Kohli, 1988), only ability training resulted in positive changes in self-efficacy. However, these changes were restricted to testrelated self-efficacy. Training had no impact on perceived utility or on everyday self-efficacy beliefs. Implications of the results are discussed with regard to interventions to increase intellectual self-efficacy in elderly persons.
EMAN is an eye-movement analysis program that consists of four modules. The first module rescales eye positions to coordinates of the display. The second and third modules reduce data to a fixation format and identify areas of bad measurement by means of iterative passes over the data. In the fourth module iterative algorithms are employed for the identification of line numbers and for achieving congruence between fixations and display.
Human information processing depends critically on continuous predictions about upcoming events, but the temporal convergence of expectancy-based top-down and input-driven bottom-up streams is poorly understood. We show that, during reading, event-related potentials differ between exposure to highly predictable and unpredictable words no later than 90 ms after visual input. This result suggests an extremely rapid comparison of expected and incoming visual information and gives an upper temporal bound for theories of top-down and bottom-up interactions in object recognition.
Linear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly et al., 1994). We replicated previous experimental cue-validity effects relating to a spatial shift of attention within an object (spatial effect), to attention switch between objects (object effect), and to the attraction of attention toward the display centroid (attraction effect), also taking into account the design-inherent imbalance of valid and other trials. We simultaneously estimated variance/covariance components of subject-related random effects for these spatial, object, and attraction effects in addition to their mean reaction times (RTs). The spatial effect showed a strong positive correlation with mean RT and a strong negative correlation with the attraction effect. The analysis of individual differences suggests that slow subjects engage attention more strongly at the cued location than fast subjects. We compare this joint LMM analysis of experimental effects and associated subject-related variances and correlations with two frequently used alternative statistical procedures
Contents: I. Introduction II. Word Coding Processes A. Word Recognition B. Orthographic Coding C. Phonological Coding III. Eye Monitor and Reading Task IV. Group Differences V. Dimensions of Individual Differences A. Regressive Fixation Index and Word Recognition B. Regressive Fixation Index and IQ C. Regressive Fixation Index and Saccade Length D. Regressive Fixation Index and Relative Phonological Skill VI. Multiple Regression Models of Individual Differences A. Disabled Readers in the Aloud Condition B. Disabled Readers in the Silent Condition C. Normal Readers in Silent and Aloud Conditions VII. Conclusions