RE-ANALYSIS OF MORSE CODE LEARNING DATA USING STRUCTURAL EQUATION MODELS.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The correlation matrix of 14 tests and the time to reach four levels of Morse code proficiency was analyzed using structural equation methodology. This methodology was not available at the time of the original research, and is especially suited for the data in these studies. The method is based on the standard maximum-likelihood approach for parameter estimation and goodness of fit. Five factors were extracted from the correlation matrix of 14 tests. These factors were significantly correlated and differed only slightly from the factors obtained in the original factor analysis. The factors were auditory perceptual speed, auditory rhythm perception, speed of closure, visualization and verbal ability. The time to reach a level of proficiency on Morse code was significantly predicted by the time to reach the previous two proficiency levels.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors Society
EditorsMary Jane Alluisi, Sybil de Groot, Earl A. Alluisi
PublisherHuman Factors Soc
Pages215-219
Number of pages5
Volume1
StatePublished - 1984
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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