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Presented at the 21st Annual Research Conference

Modeling Retention over Time in the CMHS Longitudinal Outcome Study

We're sorry, handouts are not available for this presentation.

Presenting: Megan Brooks; Yisong Geng

All Authors for this paper: Megan Brooks; Yisong Geng; Tesfayi Gebreselassie

Presentation Type: element of symposium

Synopsis: In this analysis, two methods are used to model participation in the longitudinal outcome study. In both models, the outcomes are binary indicators of participation at each timeframe. In the first, retention is modeled as a series of sequential decisions of whether or not to participate in the next longitudinal outcome study interview, up to the 18 months. In the second model, panel data analysis techniques are used to analyze participation up to 30 months.

A Latent Class Analysis of Patterns of Respondent Participation in a Longitudinal Outcome Study

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Presenting: Ye Xu

All Authors for this paper: Ye Xu; Robert Stephens

Presentation Type: element of symposium

Synopsis: This presentation explores patterns of respondents’ participation in the evaluation of the Comprehensive Community Mental Health Services for Children and Their Families Program. We propose to develop a classification system of longitudinal study participants who were heterogeneous in their participation in follow-up data collection, as well as identify a set of predictors of these patterns of participation in the longitudinal study. We will present the utility of latent class analysis for accomplishing such a classification.

Determinants of Retention in a Longitudinal Study using a Multilevel Modeling Approach

We're sorry, handouts are not available for this presentation.

Presenting: Tesfayi Gebreselassie

All Authors for this paper: Tesfayi Gebreselassie; Robert Stephens; Connie Maples; Stacy Johnson; Tisha Tucker

Presentation Type: element of symposium

Synopsis: In this presentation, we use data from the longitudinal outcome component of the national evaluation of the Comprehensive Community Mental Health Services for Children and Their Families program to implement system of care funded through the Center for Mental Health Services, as well as site level information on communities participating in the evaluation, to investigate child, caregiver and site level characteristics that predict retention in the longitudinal outcome study at 6, 12, and 18 months.

Retention in a Longitudinal Outcome Study: Modeling Techniques and Practical Implications

Download Handouts: 588kb pdf

Session Number: 39 Room: Salon I

Presenting: Robert Stephens; Paul Greenbaum

All Authors for this paper: Robert Stephens; Paul Greenbaum

Presentation Type: brief symposium

Synopsis: The retention of participants in multi-site, longitudinal studies is a critical concern from a number of perspectives. Techniques for analyzing change over time are impacted by the availability of data on the same individuals across waves of data collection. Approaches to dealing with cases that have missing data at some follow-up data collection waves can have varying effects on the validity and interpretation of findings. Modeling the characteristics of individuals and sites that influence retention in longitudinal studies can provide insight into the best ways to allocate limited data collection resources to intervene when and where efforts will be maximally effective. The current symposium will examine a number of approaches to modeling retention in the longitudinal outcome study of the national evaluation of the Comprehensive Community Mental Health Services for Children and their Families program. These approaches vary in their definitions of the outcome of retention: as a probability of participating that varies with successive waves of data collection, as a ratio of the number of waves retained over the number of possible waves for participation, or as a probability of participating in all possible data collection waves. As a result, they also take a variety of analytic approaches to understanding the characteristics that predict retention across individuals and across sites. The symposium will provide insight into innovative analytic applications as well as practical information for understanding the characteristics of those least likely to be retained in longitudinal studies and how those characteristics could potentially be targeted to maximize retention.

Date:

Session Time: 5:00 PM - 6:00 PM