The Effects of Religiosity on Psychopathology in Emerging Adults: Intrinsic Versus Extrinsic Religiosity

Recent research has suggested that religion may play an important role in determining mental health. Although research has examined the effects of religiosity on specific types of psychopathology, less research has examined psychopathology broadly in the context of particular aspects of religion. Thus, the current study examined intrinsic and extrinsic religiosity and a range of psychopathology in 486 emerging adult college students. Results of a MANOVA indicated a main effect for intrinsic religiosity on a range of psychopathology and an interaction effect between intrinsic and extrinsic religiosity on antisocial personality problems. Implications and limitations of the current study are discussed.     

Ordinal test fidelity estimated by an item sampling model

A test theory using only ordinal assumptions is presented. It is based on the idea that the test items are a sample from a universe of items. The sum across items of the ordinal relations for a pair of persons on the universe items is analogous to a true score. Using concepts from ordinal multiple regression, it is possible to estimate the tau correlations of test items with the universe order from the taus among the test items. These in turn permit the estimation of the tau of total score with the universe. It is also possible to estimate the odds that the direction of a given observed score difference is the same as that of the true score difference. The estimates of the correlations between items and universe and between total score and universe are found to agree well with the actual values in both real and artificial data.Part of this paper was presented at the June, 1989, Meeting of the Psychometric Society. The authors wish to thank several reviewers for their suggestions. This research was mainly done while the second author was a University Fellow at the University of Southern California.     

Using the longitudinal Guttman simplex as a basis for measuring growth

Many difficulties inherent in the measurement of growth stem from the use of traditional measurement methodologies. The longitudinal Guttman simplex (LGS), an alternative approach based on a model of growth, is discussed in this article. The LGS has several advantages over traditional methodology. First, interindividual differences in developmental rates are a part of the model. Second, the LGS procedure can easily handle any number of occasions of measurement. Third, the LGS is suited to nonlinear as well as linear monotonic growth. Fourth, a consistency index associated with the LGS methodology, CL, indicates the extent to which cumulative, unitary development characterizes a particular latent variable. Finally, and perhaps most important, because a model of the growth undergone by the latent variable being measured is incorporated in the LGS model the resulting instruments enjoy a high level of construct validity. The LGS is limited to cumulative, unitary development; additional measurement theories are needed for other kinds of development.     

The influence of communality,factor strength,and loading size on the sampling characteristics of factor loadings

A Monte Carlo approach is employed in determining whether or not certain variables produce systematic effects on the sampling variability of individual factor loadings. A number of sample correlation matrices were generated from a specified population, factored, and transformed to a least-squares fit to the population values. Influences of factor strength, communality and loading size are discussed in relation to the statistics summarizing the results of the above procedures. Influences producing biased estimators of the population values are also discussed.This study was supported in part by NSF Grant GB 4230. Computing assistance was obtained from the Western Data Processing Center and Health Sciences Computing Facility, UCLA, sponsored by NIH Grant FR-3.     

Orthogonal rotation to congruence

Two problems are considered. The first is that of rotating two factor solutions orthogonally to a position where corresponding factors are as similar as possible. A least-squares solution for transformations of the two factor matrices is developed. The second problem is that of rotating a factor matrix orthogonally to a specified target matrix. The solution to the second problem is related to the first. Applications are discussed.This research was supported in part by contract Nonr 228 (22) between the office of Naval Research and the University of Southern California. Portions of this paper were presented at the American Psychological Association Convention, Los Angeles, September, 1964.     

Analytic rotation to a functional relationship

It is suggested that a number of theoretical models for non-test data can be tested by factor analysis. A traditional method for transforming principal-axis factor solutions is used as an aid in making such tests; a modification of this method is suggested. Means of using all of the information in a model for the purpose of determining the transformation of the arbitrary factor solution are presented, and an illustrative example is given.The author is indebted to Dr. Ledyard R Tucker for many valuable comments and suggestions.     

Correlates of the Dysregulation Profile Among Emerging Adults

Journal of Psychopathology and Behavioral Assessment - The Child Behavior Checklist-Dysregulation Profile has been utilized as a potential predictive measure of future psychopathology among...     

Emerging Adult Risky Sexual Behavior Predicted by Parental Overprotection: Moderated Mediation Analysis

Parental control behaviors are suggested to be related to emerging adult outcomes, such as risky sexual behavior. Although parental control behaviors are more likely to be considered protective against risky sexual behavior, the relation between parental overprotection and risky sexual behavior is unclear. Furthermore, parental overprotection may influence peer selection and prosocial behaviors in emerging adults, which may in turn influence outcomes of risky sexual behavior, as suggested by primary socialization theory. Thus, the current study investigated the relations among paternal and maternal overprotection, emerging adult peer alienation, and risky sexual behavior, and expanded on these relations by examining gender effects of both parents and children. The sample consisted of 505 participants (228 males and 277 females) ranging in age from 18 to 25 years. Analyses were conducted with AMOS path analysis and indicated that peer alienation mediated the effect between both maternal and paternal perceived overprotection and risky sexual behavior, but more strongly for males, suggesting moderated mediation. Overall, parental overprotection may be protective against risky sexual behavior via pathways that are harmful such as peer alienation, thus recommending research continues to clarify the nuances of these relations.