NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Junming Guo; Chuanbin Liu; Han Zhang; Dan Wang; Jintao Lu – Evaluation Review, 2025
Performance management in university-based scientific research institutions is essential for driving reform, advancing education quality, and fostering innovation. However, current performance evaluation models often focus solely on research indicators, neglecting the critical interdependence between the education and research systems. This…
Descriptors: Performance Based Assessment, Institutional Evaluation, Research Universities, Scientific Research
Peer reviewed Peer reviewed
Direct linkDirect link
Merrall, Elizabeth L. C.; Dhami, Mandeep K.; Bird, Sheila M. – Evaluation Review, 2010
The determinants of sentencing are of much interest in criminal justice and legal research. Understanding the determinants of sentencing decisions is important for ensuring transparent, consistent, and justifiable sentencing practice that adheres to the goals of sentencing, such as the punishment, rehabilitation, deterrence, and incapacitation of…
Descriptors: Research Design, Research Methodology, Court Litigation, Social Justice
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Xin; Ma, Lingling – Evaluation Review, 2004
In this study, the authors introduced a multivariate multilevel model to estimate the consistency among students and schools in the rates of growth between mathematics and science achievement during the entire middle and high school years with data from the Longitudinal Study of American Youth (LSAY). There was no evident consistency in the rates…
Descriptors: Student Characteristics, Institutional Characteristics, Mathematics Achievement, Science Achievement
Peer reviewed Peer reviewed
Freedman, David A.; And Others – Evaluation Review, 1994
Argues that the loss-function analysis used to adjust the census of 1990 depends on estimating probable errors in census and adjustment and that data from field-validation projects does not provide estimates accurate enough for the purpose. The loss-function analysis is actually driven by assumptions, not data. (SLD)
Descriptors: Census Figures, Data Analysis, Demography, Estimation (Mathematics)