NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Estimating the Importance of Families in Modeling Educational Achievement Using Linked Swedish Administrative Data
Peer reviewed Peer reviewed
Direct linkDirect link
French, Robert; Sariaslan, Amir; Larsson, Henrik; Kneale, Dylan; Leckie, George – Journal of Research on Educational Effectiveness, 2023
While the family is a critical determinant of educational achievement, methodological difficulties and the availability of data limit estimation of the family contribution in school effectiveness models. This study uses multilevel modeling to estimate the proportion of variation in student educational achievement between families, family-level…
Descriptors: Academic Achievement, Family Characteristics, Siblings, Family Structure
Statistical Methods and Software for the Multilevel Social Relations Model
Peer reviewed Peer reviewed
Direct linkDirect link
Koster, Jeremy; Leckie, George; Aven, Brandy – Field Methods, 2020
The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…
Descriptors: Statistical Analysis, Computer Software, Hierarchical Linear Modeling, Social Networks
School Value-Added Models for Multivariate Academic and Non-Academic Outcomes: Exploring Implications for Performance Monitoring and Accountability
Peer reviewed Peer reviewed
Direct linkDirect link
Prior, Lucy; Goldstein, Harvey; Leckie, George – School Effectiveness and School Improvement, 2021
Education systems around the world increasingly rely on school value-added models to monitor school performance and hold schools to account. These models typically focus on a limited number of academic outcomes. We explore how the traditional multilevel modelling approach to school value-added models can be extended to simultaneously analyse…
Descriptors: Value Added Models, Foreign Countries, Accountability, Outcomes of Education
Avoiding Bias When Estimating the Consistency and Stability of Value-Added School Effects
Peer reviewed Peer reviewed
Direct linkDirect link
Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
Rater Accuracy and Training Group Effects in Expert- and Supervisor-Based Monitoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Baird, Jo-Anne; Meadows, Michelle; Leckie, George; Caro, Daniel – Assessment in Education: Principles, Policy & Practice, 2017
This study evaluated rater accuracy with rater-monitoring data from high stakes examinations in England. Rater accuracy was estimated with cross-classified multilevel modelling. The data included face-to-face training and monitoring of 567 raters in 110 teams, across 22 examinations, giving a total of 5500 data points. Two rater-monitoring systems…
Descriptors: Foreign Countries, High Stakes Tests, Accuracy, Hierarchical Linear Modeling
Modeling Heterogeneous Variance-Covariance Components in Two-Level Models
Peer reviewed Peer reviewed
Direct linkDirect link
Leckie, George; French, Robert; Charlton, Chris; Browne, William – Journal of Educational and Behavioral Statistics, 2014
Applications of multilevel models to continuous outcomes nearly always assume constant residual variance and constant random effects variances and covariances. However, modeling heterogeneity of variance can prove a useful indicator of model misspecification, and in some educational and behavioral studies, it may even be of direct substantive…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Predictor Variables, Computer Software