A general model for the analysis of multilevel data

A general model is developed for the analysis of multivariate multilevel data structures. Special cases of the model include repeated measures designs, multiple matrix samples, multilevel latent variable models, multiple time series, and variance and covariance component models.We would like to acknowledge the helpful comments of Ruth Silver. We also wish to thank the referees for helping to clarify the paper. This work was partly carried out with research funds provided by the Economic and Social Research Council (U.K.).     

Occult participation: its impact on adolescent development

This study investigated the relationship between occult participation, substance abuse, and level of self-esteem in adolescents. Data were collected from 50 adolescents who ranged in age from 12 to 19 years and who spoke English as their primary language. The combined group of adolescents consisted of 25 clinical and 25 nonclinical youth. Participants completed a three-part questionnaire package which included Rosenberg's Self-Esteem Scale, the Adolescent Magic Questionnaire, and the Drug and Alcohol Assessment Scale. Results indicated that adolescent substance abuse and occult participation were significantly related. High and low occult participation groups were determined, and significant differences were found between the high versus low occult groups when compared on the primary variables of self-esteem and substance abuse. Significant differences were also noted when comparing the high versus low occult groups with various psychosocial developmental variables. Included is a discussion of the impact of occult participation on the psychosocial elements of adolescent self-esteem, self-concept, tolerance for deviance, and religious involvement.     

An investigation of the ability to process inferences in language following right hemisphere brain damage

Twenty-two right hemisphere brain-damaged and 22 non-brain-damaged patients were given a multiple-choice recognition task which contained true statements, statements which were inferentially true but not actually heard before, and false statements. It was hypothesized that if right hemisphere brain damage disturbs the ability to comprehend inferences, these subjects, unlike their normal counterparts, would not falsely recognize true inferences as heard before. This hypothesis was not confirmed. However, the right hemisphere group was poorer than controls at rejecting false statements. This behavior was speculated to be a retrieval difficulty, which was exacerbated if the information contained spatial or semantically similar material.     

Diverse middle school students’ future career autobiographies and socioeconomic status factors: A content analysis

The future career autobiography (FCA) is a narrative, discovery-based career intervention designed to assess individuals’ career hopes and dreams. In total, 134 low-income, ethnically and racially diverse middle school students participated in an FCA intervention through a yearlong grant-funded career development initiative. Using content analysis, we analyzed participants’ FCAs for socioeconomic status factors and lifestyle indicators. We found that participants articulated occupational and lifestyle factors more than education and income, and that there were differences based on biological sex, race, and ethnicity. We present pertinent results and discuss implications for counseling practice and future research.     

Three common factor models for groups of variables

For the case of two or more groups of variables (batteries), generalizations on three common factor models, the Equal Residual Variances model, the Image model of Jöreskog, and the Canonical Factor Analysis model, are described and illustrated with empirical examples.The author is indebted to Dr. E. J. Burr for his valuable criticisms.     

A note on the derivation of the general latent class model

A general formulation of the latent structure principle is suggested, from which it is possible to derive Lazarsfeld's accounting equations in their most general form. The basic equations of Gibson's latent profile model can thence be derived in a single step.