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ERIC Number: ED306953
Record Type: Non-Journal
Publication Date: 1988-Aug
Pages: 8
Abstractor: N/A
Reference Count: N/A
Modeling Human-Computer Decision Making with Covariance Structure Analysis.
Coovert, Michael D.; And Others
Arguing that sufficient theory exists about the interplay between human information processing, computer systems, and the demands of various tasks to construct useful theories of human-computer interaction, this study presents a structural model of human-computer interaction and reports the results of various statistical analyses of this model. Male and female subjects (N=109) were asked to complete the numerical, spatial, and logical subscales of the California Test of Mental Maturity (CTMM), which represented measurable variables, and their total scores were used to indicate various latent variables of the model, including decision time and errors. Upon completing the CTMM, subjects solved a variety of problems presented via computer, i.e., locating a number, interpolation, forecasting, and trend analysis. Mean problem-solving times for each of the four problem types were used as indicators of the decision time latent variable, and the average number of errors for each of the four problem types served as indicators of the errors latent variable. A correlation matrix of the measured variables was computed and analyzed with LISREL VI. A sub-model of the primary model of human-computer interactions was used to assess the relationship between various measures of intelligence and problem-solving behavior. Statistical tests--chi-square, goodness-of-fit index, rho, and the root mean square residual--were used to test the hypothesis that the model was plausible for explaining the relationships that existed in the data. Chi-square for the model indicated that the model did not fit the data. However, a final model presented in the study fit quite nicely according to both inferential and descriptive tests. Three researcher biographies and three figures--a causal user model, the structural model that was tested, and the final causal model--are included. (4 references) (CGD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A