Power of Models in Longitudinal Study: Findings From a Full-Crossed Simulation Design.

Because the power properties of traditional repeated measures and hierarchical multivariate linear models have not been clearly determined in the balanced design for longitudinal studies in the literature, the authors present a power comparison study of traditional repeated measures and hierarchical multivariate linear models under 3 variance-covariance structures. The results from a full-crossed simulation design suggest that traditional repeated measures have significantly higher power than do hierarchical multivariate linear models for main effects, but they have significantly lower power for interaction effects in most situations. Significant power differences are also exhibited when power is compared across different covariance structures.

Barriers to nurse/nursing aide communication: the search for collegiality in a southeast Ohio nursing home.

Aim: The aims of this study were: (1) to identify barriers to nurse/nursing aide communication and to discuss and provide solutions to some of these problems through a focus group; and (2) to determine the effectiveness of this focus group on job satisfaction-related outcomes.

Background: Numerous studies have attributed problems with nurse staffing and turnover to faulty communication between nursing supervisors and nursing aides.

Methods: Registered nurses (RNs) (n = 2), licensed practical nurses (LPNs) (n = 10) and nursing aides (n = 19) were interviewed; narrative themes from the interviews were then used to guide focus group discussions.

A Monte Carlo Power Analysis of Traditional Repeated Measures and Hierarchical Multivariate Linear Models in Longitudinal Data Analysis.

The power properties of traditional repeated measures and hierarchical linear models have not been clearly determined in the balanced design for longitudinal studies in the current literature. A Monte Carlo power analysis of traditional repeated measures and hierarchical multivariate linear models are presented under three variance-covariance structures. Results suggest that traditional repeated measures have higher power than hierarchical linear models for main effects, but lower power for interaction effects.

A telephone-delivered coping improvement group intervention for middle-aged and older adults living with HIV/AIDS.

Background: By 2015, the Centers for Disease Control and Prevention predicts that 50% of all cases of HIV/AIDS in the United States will be in persons 50 years of age or older.

Purpose: This pilot research tested whether a 12-session, coping improvement group intervention delivered via teleconference technology could improve life quality in 90 middle-age and older adults living with HIV/AIDS.

Method: This research used a lagged-treatment control group design.