{'fraction_non_alphanumeric': 0.024978466838931956, 'fraction_numerical': 0.006029285099052541, 'mean_word_length': 5.3497267759562845, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Multiplicative Covariance Structure Models in the Analysis of Scores on a Chinese Version of an Academic Self-Concept Scale

The purpose of this study was to examine the construct validity of scores on a Chinese version of an academic self-concept measure entitled Dimensions of Self-Concept (DOSC) using composite direct product (CDP) models. Measures of five traits-Level of Aspiration, Anxiety, Academic Interest and Satisfaction, Leadership and Initiative, and Identification vs. Alienation-were obtained from a convenience sample of 769 junior high school students by using self ratings, peer ratings, and parent ratings. The degree of convergent and discriminant validity was moderate to low based on the evaluation in terms of both Campbell and Fiske (1959) guidelines and the comparison of nested multitrait-multimethod CDP models. In particular, concern about the discriminant validity of scores on traits of Level of Aspiration, Academic Interest and Satisfaction, and Identification vs. Alienation was raised. Implications for the use of CDP models in the assessment of construct validity of scores on an academic self-concept measure were discussed.