Projects
Determining sample requirements for modeling and reporting (stability of) school value-added estimates: sample size, inter-school student mobility and sample heterogeneity KU Leuven
Within the context of school accountability systems, many countries use value added (VA)-estimates as indicators of the educational quality or effectiveness of their schools. A fundamental issue in this field is the (in)stability of VA estimates across time, i.e., the extent to which school effects persist over successive cohorts of students. VA-estimates are less stable, i.e., less reliable, especially for primary schools and for schools ...
Determining sample requirements for modeling and reporting (stability of) school value-added estimates: sample size, inter-school student mobility and sample heterogeneity. KU Leuven
Within the context of school accountability systems, many countries use value-added (VA)-estimates as indicators of the educational quality or effectiveness of their schools. A fundamental issue in this field is the (in)stability of VA estimates across time, i.e., the extent to which school effects persist over successive cohorts of students. VA-estimates are less stable, i.e., less reliable, especially for primary schools and for schools ...
The role of sample characteristics in the stability of value-added estimates of school effects: sample size, student mobility and sample heterogeneity. KU Leuven
Many countries use value added (VA)-estimates as indicators of the effectiveness of their schools. A major issue is the instability of schools' VA-estimates over successive years. Instable VA-estimates may indicate a lack of reliability and are therefore less usable for intended purposes, e.g., identification of (in)effective schools or school choice. A challenge is to provide evidence of the characteristics that drive the artificial ...
The role of sample characteristics in the stability of value-added estimates of school effects: sample size, student mobility and sample heterogeneity. KU Leuven
Many countries use value added (VA)-estimates as indicators of the effectiveness of their schools. A major issue is the instability of schools' VA-estimates over successive years. Instable VA-estimates may indicate a lack of reliability and are therefore less usable for intended purposes, e.g., identification of (in)effective schools or school choice. A challenge is to provide evidence of the characteristics that drive the artificial ...
Design, sample size planning, and preprocessing of intensive longitudinal data studies KU Leuven
Plenty of research focuses nowadays on understanding how psychological processes dynamically evolve within persons. To capture these processes, data are collected through intensive longitudinal designs (ILD) and modeled with time series approaches. A popular approach is Vector Autoregressive (VAR(1)) modeling of order 1, in which observations at the current measurement occasion are modeled as a function of the observations at the previous ...
Sample size planning for intensive longitudinal designs KU Leuven
Plenty of research focuses nowadays on understanding how psychological processes dynamically evolve within persons. To capture these processes, data are collected through intensive longitudinal designs (ILD) and modeled with time series approaches. A popular approach is Vector Autoregressive (VAR(1)) modeling of order 1, in which observations at the current measurement occasion are modeled as a function of the observations at the previous ...
Easier, better, faster, stronger: developing statistical methods for conducting sample size planning in intensive longitudinal designs KU Leuven
Easier, better, faster, stronger: developing statistical methods for conducting sample size planning in intensive longitudinal designs KU Leuven
The use of intensive longitudinal studies has skyrocketed in recent years as it allows researchers to investigate within-person psychological dynamic processes. However, intensive longitudinal research lacks an overarching framework to inform researchers on how to optimally design a study. Specifically, a key question that researchers need to address is how to select the sample size to be able to answer research questions and derive reliable ...
Topics in discrete choice experiments: Screening, framing, and sample size selection KU Leuven
Discrete Choice Experiments are now used in almost all fields to study choice behavior. The methods to design and analyze those experiments have been investigated and improved over the years, allowing researchers to yield more accurate and reliable information without putting a larger burden on the respondents. Despite these advancements, the literature on choice modeling recognizes that several areas are still open for improvement. In this ...