Structural equation modeling (SEM) is now widely used in social and behavioral science research. SEM provides the possibility of fitting, and evaluating the fit, of well-specified, theoretical models to empirical data--more generally, of testing elaborated psychological theories. The options available to users of these approaches are many and varied. Popular SEM computational software packages, such as LISREL and EQS, provide a large amount of information, and there is some uncertainty as to what should be routinely reported. A series of guidelines are proposed for reporting SEM results in articles submitted to Psychology and Aging. The suggested guidelines ask authors using SEM methodology to provide important analysis information that will enable readers to evaluate the findings.

An integrative, comprehensive model of death anxiety is presented. The model postulates three immediate antecedents of death anxiety: past-related regret, future-related regret, and meaningfulness of death. Past-related regret refers to a person's unfulfilled aspirations that should have been achieved but were not. Future-related regret refers to the anticipation that, as a result of premature death, one cannot achieve important goals in the future. Meaningfulness of death refers to one's concept of death and ability to make sense of it. These three antecedents are related to death salience in a complex way, mediated by coping mechanisms and their effects on one's beliefs about self and the world. The coping mechanisms include (but are not necessarily limited to) life review, life planning, identification with culture, and self-transcending processes. The model's developmental and practical applications are explored.

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Applied structural equation modeling to a longitudinal data set of 193 youngsters with insulin-dependent diabetes mellitus assessed on two occasions, an average of 1.65 years apart. Six adherence constructs, Injection, Exercise, Diet Type, Testing-Eating Frequency, Calories Consumed, and Concentrated Sweets, were quantified from 24-hr recall interviews conducted with mother and child. Glycemic control was indexed by glycosylated hemoglobin (HA1C); lipid metabolism was indexed by fasting triglyceride levels (TRIG). The relationship of each adherence construct to metabolic control was tested separately. Patient age and disease duration served as exogenous variables in all models. Testing-Eating Frequency was associated with HA1C and Injection was associated with TRIG; in both cases better adherence was associated with better metabolic control. However, the standardized regression weights and variance accounted for were small. Patient age was a predictor of both adherence and metabolic control; older youngsters were less adherent and were in worse metabolic control. Inspection of models for younger versus older children suggested that age-homogeneous models improved prediction, but adherence and metabolic control linkages remained weak. Suggestions for refining the model are provided.

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