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Social anxiety, particularly in children and adolescents, has received considerable attention over the years (see Chorpita & Barlow, 1998 and Patterson & Ritts, 1997 for reviews). Social anxiety is correlated [...], This study compared the strength of competing causal models in explaining the relationship between perceived support, enacted support, and social anxiety in adolescents. The social causation hypothesis postulates that social support causes social anxiety, whereas the social selection hypothesis postulates that social anxiety causes social support. The reciprocal model combines the two hypotheses by arguing that the causal relationship between social support and social anxiety is largely reciprocal. This study tests a modification of the reciprocal model by specifying perceptions of support as a mediating construct. Two waves of data with an interval of three months were collected on 357 college students. Structural equation modeling was used to compare the reciprocal and mediated reciprocal causal models. The study found some support for the mediated reciprocal model, but the magnitude of the relationships were weaker than expected. Limitations and suggestion for future research are discussed.

This study used a non-equivalent control group design to investigate the effect of consumer choice of treatment on both process and outcome variables. All study participants suffered from severe mental illness, were homeless at baseline, and were enrolled in a modified Assertive Community Treatment (ACT) program. Consumers in the choice condition had selected the ACT program from a menu of five treatment programs; clients in the no-choice condition were simply assigned to the ACT program by an intake worker. Results found that consumers in the choice condition visited the ACT staff at their offices more than consumers in the no-choice condition, but there were no significant differences between groups on the other treatment process variables. Although consumers in the choice condition increased their income more than consumers in the no-choice condition, there were no significant differences between groups on the other outcome variables (stable housing, psychotic symptoms, depression, and substance abuse).

Nearly 5,000 older adults provided data for this study, which used factor analysis to identify the following four dimensions of agency awareness: in-home services, aging network services, financial services, and other services. Then, 18 variables assessing the various dimensions of the behavioral model were included in multiple regression equations predicting each of the awareness dimensions. The regression equations only accounted for 7% to 13% of the variance of the various service awareness dimensions.

Purpose: The main goal of this study was to determine how well the disability questions of both the 1990 and 2000 Census correlated with a standard measure of disability. If the census questions were to correlate moderately well with a standard measure of disability, then Area Agencies on Aging (AAA) and other organizations would be able to use census information in estimating service needs for their catchment (service) area. Design and Methods: Questionnaires containing both the census disability questions and a standard measure of disability were mailed to 4,508 older adults; 1,514 completed surveys were returned. In order to assess reliability, 472 of the respondents who completed the mail survey were reinterviewed by phone. All three disability measures were collapsed into the following three categories: no needs, instrumental activities of daily living (IADL) needs only, and activities of daily living (ADL) needs. Results: All three disability measures exhibited moderate to good test-retest reliability. Using a standard measure of disability as the criterion, validity for the 1990 Census measure was quite low (Kappas of approximately 0.35). Validity for the 2000 Census measure was moderate to good (Kappas of approximately 0.60). Implications: These results suggest that the 2000 Census disability questions may be sufficiently valid for planning purposes. However, additional research with more representative samples of older adults is needed. Key Words: ADL, IADL, Planning, Needs assessment