Biomedical subjects

S L Crowley

Publications and source records attributed to S L Crowley.

4 recordsLinked to original sources

PubMed1997

Structural equation modeling: basic concepts and applications in personality assessment research.

Structural equation modeling (SEM) has become an increasingly used methodological strategy in psychology. Nevertheless, many psychologists continue to be unclear about how to apply this analytic tool in their research. This article reviews SEM from a conceptual perspective, particularly focusing on confirmatory factor analysis. Additionally, the relation between SEM and other analytic techniques (e.g., exploratory factor analysis) are addressed. A confirmatory factor analytic example is presented and reviewed in detail. Finally, limitations of SEM and other considerations are discussed.

Humans↗

PubMed1992

Self-report, peer-report, and teacher-report measures of childhood depression: an analysis by item.

We explored the low correlation among different types of childhood depression measures at the item level. The items from the Children's Depression Inventory (CDI), Peer Nomination Inventory of Depression (PNID), and the Child Behavior Checklist-Teacher Report Form (CBCL-T) were combined, and both first- and second-order factor analyses were conducted. Results indicate that self-report, peer-report, and teacher-report assessments of depression measure generally uncorrelated constructs. Second-order analysis suggests that depression as a global construct is being measured to some degree by items from all three instruments. Canonical analysis was employed to identify items that best predicted CDI, PNID, and CBL-T summary scores simultaneously. Also, the relationship between specific items with similar content was investigated. Results from these analyses generally supported a conclusion that the three types of measures yield scores that are primarily independent and that the use of summary scores is not masking stronger relationships within measures. These findings have implications for clinical practice and construct elaboration.

Achievement↗

PubMed1992

Selective responsiveness of chronically ill children to assessments of depression.

Many investigators have noted that depression is a common symptom among pediatric cancer patients. However, prevalence rates vary widely across studies. This variation in prevalence rates may be due, in part, to selective reporting of patients based on measures used and environmental cues. In this study, we evaluated 50 chronically ill pediatric patients (19 cancer and 31 diabetic patients) for their use of selective reporting of depression. Factors in the 2 x 2 design were Intervention (disclosure videotape and cartoon videotape) and Examiner (familiar examiner and unfamiliar examiner). In the Intervention manipulation, subjects were shown either a videotape prompting the child that self-disclosure was appropriate or a tape of a cartoon (control condition). In the Examiner manipulation, subjects were administered the experimental measures by either a familiar (parent) or unfamiliar (research assistant) examiner. Dependent variables were the Children's Depression Inventory (CDI; Kovacs, 1981), the Depression scale of the Roberts Apperception Test for Children (RATC; McArthur & Roberts, 1982), and a depression measure taken from the Child Behavior Checklist (CBCL; Achenbach & Edelbrock, 1983). As hypothesized, the Examiner x Intervention interaction revealed that children who did not view the disclosure videotape and who were tested by an unfamiliar examiner gave significantly lower self-reports of depression on the CDI than children in the other conditions. However, parent and child projective reports of depression did not vary as a function of experimental condition. The results are interpreted as selective responding on the part of pediatric patients. Limitations of assessing internal psychological states in children are discussed.

Adaptation, Psychological↗

PubMed1991

The factor analytic structure of the Roberts Apperception Test for Children: a comparison of the standardization sample with a sample of chronically ill children.

A confirmatory principal component factor analysis of the Roberts Apperception Test for Children was conducted using the standardization sample and a sample of chronically ill children. An interpretation of three- and four-factor solutions identified the three-factor solution as superior to the four-factor solution as measured by chi-square goodness of fit and coefficients of convergence. A cluster analysis using Ward's minimum variance method was calculated to determine the typical profiles that best describe the chronically ill sample. Results of this analysis reveal two distinct profiles that differ primarily on the level of adaptive psychological functioning.

Adaptation, Psychological↗