Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

The ratings of the Achievement and Intellectual Screening scales of the Personality Inventory for Children (PIC) are compared with scores on the Wechsler Intelligence Scale for Children-Revised (WISC-R) and the Wide Range Achievement Test (WRAT) to determine the efficacy of using the PIC as an index of children's performance on such measures.…

This study investigated the factor structure of the 10 subtests of the Career Maturity Inventory (CMI). Although two principal factors emerged, the CMI Competence and Attitude subtests did not load distinctly on the two separate factors. Results also tended to indicate that the discriminant validity of the CMI may be minimal. (PN)

Initial standing in language, reading, intelligence, socioeconomic status, and sex differences did not predict writing ability of third grade children any more accurately for structured than for nonstructured teaching methods, although children who did not spell or read as well as others were able to produce more volume in their writing when…

Intelligence test scores were found to predict achievement in high school chemistry more accurately than the Piaget-derived Longeot Test Scores. However, the construct measured by the Longeot is more clearly defined than the construct measured by the intelligence test. In this respect, the Longeot measure may be preferable to the intelligence…

A multiple regression analysis was performed on all Edwards Personal Preference Schedule (EPPS) and Strong Vocational Interest Blank (SVIB) scales to determine those scales which could be used to predict success in a secondary teacher preparation program for females and males. Significant discriminant function equations were obtained. (Author/BJG)

Grades in a college freshman course in finite mathematics were predicted from IQ, high school math grades, college board scores, and high school class ranks. The squared multiple correlation for the full model was .611. (JKS)

The interaction of mental ability and of two different instructional methods was investigated for a second grade linear metric curriculum unit. Mental ability was positively correlated with achievement under the guided discovery method, but essentially uncorrelated for the self paced mastery learning method. (Author/JKS)

A follow-up study of 1,149 freshmen at a major Filipino university showed that intellective measures were only moderately successful predictors of college grade point average. However, the nonintellective variables considered were (with the possible exception of level of scholastic expectation) of little value as predictors of college performance.…