NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Alexander Robitzsch; Oliver Lüdtke – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…
Descriptors: Longitudinal Studies, Correlation, Time, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Ledford, Jennifer R.; Ayres, Kevin M.; Lane, Justin D.; Lam, Man Fung – Journal of Special Education, 2015
Momentary time sampling (MTS), whole interval recording (WIR), and partial interval recording (PIR) are commonly used in applied research. We discuss potential difficulties with analyzing data when these systems are used and present results from a pilot simulation study designed to determine the extent to which these issues are likely to be…
Descriptors: Intervals, Research Methodology, Sampling, Time
Peer reviewed Peer reviewed
Direct linkDirect link
Jozefowiez, J.; Staddon, J. E. R.; Cerutti, D. T. – Psychological Review, 2009
The authors propose a simple behavioral economic model (BEM) describing how reinforcement and interval timing interact. The model assumes a Weber-law-compliant logarithmic representation of time. Associated with each represented time value are the payoffs that have been obtained for each possible response. At a given real time, the response with…
Descriptors: Intervals, Metacognition, Reinforcement, Time
Peer reviewed Peer reviewed
Direct linkDirect link
Kessel, Robert; Lucke, Robert L. – Journal of the Experimental Analysis of Behavior, 2008
Shull, Gaynor and Grimes advanced a model for interresponse time distribution using probabilistic cycling between a higher-rate and a lower-rate response process. Both response processes are assumed to be random in time with a constant rate. The cycling between the two processes is assumed to have a constant transition probability that is…
Descriptors: Statistical Analysis, Probability, Monte Carlo Methods, Simulation