Internalizing and externalizing characteristics of sexually and/or physically abused children

This study evaluates the behavioral consequences of childhood abuse (sexual, physical, or both), with particular focus on prevalence of posttraumatic stress disorder (PTSD). Three abuse type groups and nonabused controls were contrasted on behavioral rating scales and on structured psychiatric interview data. The participants (109 abused children and 16 normal control children) were recruited from Arkansas Children’s Hospital and local agencies for abused children. As expected, proportionately more females than males were sexually abused. Overall, males were rated as more disturbed than females. Type of abuse did not consistently influence behavioral ratings. Externalizing scores were significantly higher than internalizing scores in all abused groups. PTSD was diagnosed in 50% of the abused children, with a higher rate for boys who had been sexually abused as opposed to physically abused only (58% versus 13%). The most frequent comorbid condition with PTSD was Separation Anxiety. Sexually abused boys were hospitalized for psychiatric treatment at a higher rate than were other abused children.     

The mediating role of anxiety in self-reported somatic complaints of depressed adolescents

This study examined the mediating role of anxiety in the self-reports of somatic complaints in 96 depressed adolescent inpatients. Sixty-four subjects with major depressive episodes and comorbid anxiety disorders (MDE-A) determined from the Diagnostic Interview for Children and Adolescents-Revised (DICA-R) reported significantly more somatic complaints than 32 adolescents having major depressive episodes without comorbid anxiety (MDE). An analysis of covariance demonstrated that, with anxiety symptoms controlled, MDE and MDE-A groups did not differ significantly in somatic complaints. A hierarchical multiple-regression analysis revealed that, with demographic and anxiety symptoms controlled, depressive symptoms did not contribute to the explanation or prediction of somatic complaints. The results suggest that anxious, but not depressive symptoms, are independently associated with somatic complaints. The results are discussed in light of new affective models of psychopathology.     

An empirical verification of the Wherry-Gaylord iterative factor analysis procedure

A comparison of the Wherry-Gaylord iterative factor analysis procedure and the Thurstone multiple-group analysis of sub-tests shows that the two methods result in the same factors. The Wherry-Gaylord method has the advantage of giving factor loadings for items. The number of iterations needed can be reduced by doing a factor analysis of sub-tests, re-grouping sub-tests according to factors, and using each group as a starting point for iterations.This research was carried out under Contract No. WSW-2503, between the Department of the Army and Ohio State University. This paper is based on the final report PRS No. 827 under that contract. The opinions expressed herein regarding matters relating to the Department of the Army are those of the authors and are not necessarily official.     

Multiple bi-serial and multiple point bi-serial correlation

Normal equations, using data in various forms, are presented for securing the regression weights for prediction of a dichotomized criterion, and a simplified equation for the estimation of the multiple bi-serial or multiple point bi-serial, depending upon the proper assumption as to the nature of the distribution of the criterion, on the basis of these maximal weights is given also. The weights, unaffected by the assumption as to the nature of the criterion, are identical (or proportional) to those found by the discriminant function approach based upon analysis of variance. The author holds that the present multiple correlation approach is both easier and more informative than the discriminant function (analysis of variance) approach and suggests that the discriminant function be abandoned in favor of multiple bi-serial and/or multiple point bi-serial correlation and regression.     

Test selection and suppressor variables

A theoretical discussion of the factor pattern of predictor tests and criterion shows that ordinary test selection methods break down under certain circumstances. It is shown that maximal resultsmay not occur if suppressor variables are present among the predictors. Suggested solutions to the problem include: (1) prior item analysis of tests against the criterion, (2) selection of several trial batteries including some with suppressor variables on the basis of a factor analysis of tests and criterion, (3) modification of the usual test selection procedures to include separate solutions based upon each of several starting variables, or (4) the cumbersome and tedious solution of all possible combinations of predictors. The solutions are recommended in the order named above. Although all of the suggested solutions involve added labor and may not be necessary, the test or battery constructor should at least be aware of the problem.     

Maximal weighting of qualitative data

A method whereby biographical or other questionnaire data of a purely qualitative nature may be used to predict success or failure on an independent criterion is presented. The method is not new but the present least-squares derivation and the transformation equation for punched card coding were not available in the literature. The proper weights are found to be proportional to the per cent of passers in the various categories. The method is suggested as a suitable substitute for non-linear approaches in connection with purely quantitative data as well. The implications of reweighting in connection with multiple regression is discussed. The lavish use of degrees of freedom makes cross-validation extremely desirable.     

Possible self-complexity and affective reactions to goal-relevant evaluation.

The complexity of people's self-concept appears to be inversely related to the intensity of their reactions to evaluative feedback about present goals and abilities (Linville, 1985, 1987). The idea that the complexity of individuals' possible self-concept similarly mediates reactions to feedback regarding future goals was investigated. Two preliminary studies suggested that complexity of the actual self only explains 20% to 30% of the variance in possible self-complexity. Three studies were conducted. Support was found for the idea that possible self-complexity mediates affective reactions to evaluative feedback about future goals and actual self-complexity mediates affective reactions to evaluative feedback about present goals. The findings underscore the independent roles of the organization of actual and possible self-concepts in affective processes.     

Factors associated with respite care use by families with a child with disabilities

This paper reviews the literature on respite care utilization, describes a respite care program in Arkansas, and reports on a study of utilization initiated by the Arkansas Division of Mental Health Services (DMHS). Among the 89 families qualifying for respite services, 70 consented to participate, and 66 were surveyed in a phone interview. Users (n=54) and non-users (n=12) were compared relative to a variety of staff, child, geographic, and budget differences. Also, respite use was examined relative, to the aforementioned variables based on level of use, (i.e., none, low, moderate, high). There were no differences in use according to age, the number of family members, family income, or needs of the child. A larger percentage of non-use and low use of respite care was evident among those families receiving Tax Equity Fiscal Responsibility Act (TEFRA) benefits. There were no significant differences between races related to perceived barriers to care. Differences in expectations/experiences with respite care among rural and urban groups were limited with rural respondents expressing, concern about travel/distance issues. Overall, the program as a whole received positive ratings by parents, and no clear factors were found to be related to non-use in the small sample (n=12) who did not take advantage of respite services.     

Generating multiple samples of multivariate data with arbitrary population parameters

A method of generating any number of score and correlation matrices with arbitrary population parameters is described. EitherZ scores or stanines are sampled from a normal population to represent factor scores by an IBM 1620 program. These are converted to variates from a population with an a priori factor structure. The effectiveness of the method is illustrated from research data. Some further modifications and uses of the method are discussed.     

A method for factoring large numbers of items

The computation of intercorrelation matrices involving large numbers of variables and the subsequent factoring of these matrices present a formidable task. A method for estimating factor loadings without computing the intercorrelation matrix is developed. The estimation procedure is derived from a theoretical model which is shown to be a special case of the multiple-group centroid method of factoring. Empirical checks have indicated that the model, even though it makes some stringent assumptions, can be applied to a variety of variables found in psychological factoring problems. It has been found to be particularly useful in factoring test items.