An investigation was conducted to determine the relationships between Concept Structure Interrelatedness Competence (ConSIC) and 10 predictor variables of which 6 comprised a cognitive cluster and 4 made up an affective set. Data were collected from 105 middle school students and treated by way of stepwise multiple regression, linear multiple regression, and product-moment correlation techniques. The findings revealed that previous experience with concept structure interrelatedness and verbal scholastic aptitude accounted for the greatest amount of variance in predicting ConSIC. Significant positive correlations were also found between ConSIC and science achievement-course grades, scholastic aptitude-verbal, scholastic aptitude-quantitative, previous experience with concept structure interrelatedness, and self-concept of science ability. Positive significant correlations also surfaced among all of the affective variables (attitudes toward science, interest in science, science curiosity, and self-concept of science ability). Implications have been discussed in terms of classroom science teaching, science content analysis, curriculum design, and content selection.