Conceptual encoding and locus of the Stroop effect

Subjects reacted to coloured season and month names by naming the season associated with the print colour of the word, or by naming the season opposite to the one associated with the print colour. Reactions were facilitated in both tasks when the word on the display named the season associated with the colour or was a month belonging to that season. Opposite season naming was not facilitated when the word named the response which the subject made. A comparable effect of print colour was found when subjects reacted to season names by naming the colour associated with the name, or with its opposite. These results suggest that Stroop congruity and interference effects occur during conceptual encoding, and not during response production.     

Evaluation of a continuing computer conference on simulation

A 20-day computer conference was held in preparation for a face-to-face meeting to produce a computer simulation. The conferencing resulted in the generation of seven different models and was excellent preparation for the subsequent meeting. Computer conferencing appears to hold great value for faculty development in a period of reduced faculty mobility.     

Book reviews

Wyer, Robert S., Jr. Cognitive Organization and Change : an Information Processing Approach. Potomac, Maryland: Lawrence Erlbaum Associates. 1974. Pp. 502. £10.50.

Egan, J. P. Signal Detection Theory and ROC Analysis. New York: Academic Press. 1975. Pp. 277. £9.75. ISBN

Aldis, O. Play-Fighting. New York: Academic Press. 1975. Pp. 319. £8.75.

Warburton, D. M. Brain Behaviour and Drugs. London: John Wiley. 1975. Pp. 280. £6.95. ISBN 0471 91991 8.

Grieve, D. W., Miller, D., Mitchelson, D., Paul, J. and Smith, A. J. Techniques for the Analysis of Human Movement. London: Lepus Books. 1975. Pp. 177. £5.50.     

Zur Analyse des Bumerang-Effektes

Zusammenfassung In zwei Experimenten wurde mit Hilfe unterschiedlicher sozialer Attitüden und Werthaltungen jeweils die Hypothese geprüft, daß sich Einstellungen nach einstellungskonträrer Agitation in Richtung dieser Agitation oder aber nicht und in Gegenrichtung zur Agitation ändern, je nachdem ob sie weniger oder mehr in allgemeineren Werthaltungen verankert sind. Im Rahmen einer um die Konzeption der Verankerung erweiterten Theorie der kognitiven Dissonanz können damit besser als bisher sogenannte Bumerang-Effekte bei Änderungen von Attitüden erklärt werden.

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Summary In two experiments we tested the following hypothesis concerning social attitudes and value orientations: Attitudes will be changed after counter-attitudinal agitation in the direction of this agitation or in opposite direction depending on their degree of being anchored in general value orientations. With the theory of cognitive dissonance, supplemented by the conception of anchoring, we are now able to explain better than before the so-called boomerang-effects which appear with attitude changes.

     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.