100 likes | 188 Vues
This research design explores using performance measurement for quality control, tracking subjects, and measuring variables in the juvenile justice system. Learn about monitoring, assessment, and improving the system while addressing time-related problems. Discover the importance of clear, consistent variables and data collection in longitudinal designs.
E N D
Program monitoring & tracking: Research design issues Presented by: Dr. Kimberly Kempf-Leonard School of Social Sciences University of Texas at Dallas kleonard@utdallas.edu Performance Measurement Training
Purposes • Quality Control • Tracking of Subjects • Measuring Variables
Why are we doing this? • Monitoring & Assessment • Improve our juvenile justice system Convince other systems they can benefit from what we’ve done Describe… Explain… Evaluate… Predict…
Quality Control of Output & Outcome measures • Add a time dimension to data collection longitudinal data (6-12 months follow-up) • Precise measures • Reliable measures • Valid measures • Generalizable measures
Time-related problems with Subjects • “Creaming” • Attrition or “Mortality” • Solution: assure sample represents total • Know characteristics of those missing
Clear, relevant variables • Consistency in measurement both times • Representative subjects • Same subjects • sample chosen same way both times • Explain any attrition • Simple data collection instrument
What types of data are collected in longitudinal designs? • All types! • Surveys (trends: multiple “waves” of cross-sectional designs) • Participant observation • Archival records • Experiments • Content analysis • Secondary data & primary data from a “follow-up”