The Linear Ballistic Accumulator (LBA) model is a simplified model of decision-making and reaction time (RT). It uses independent accumulators that race toward a common response threshold, with linear and deterministic accumulation. The model is simpler than other models and can be applied to both binary and multiple choice situations. It successfully accommodates empirical phenomena from binary and multiple choice tasks that have proven difficult for other theoretical accounts. The LBA model provides analytic solutions for predicted distributions and probabilities, making it easy to apply. It is a complete model of choice RT, accommodating all important empirical phenomena, including RT distribution shape, speed-accuracy tradeoffs, and the relative speed of correct vs. incorrect responses. The LBA model is simpler than other models of choice RT and has simple analytic solutions for choices between any number of response alternatives. It has been shown to provide a good description of data from five previously published experiments. The LBA model is a simplification of Brown and Heathcote's (2005a) ballistic accumulator, which was in turn a simplification of Usher and McClelland's (2001) model. The LBA model is a complete model of choice RT, and unlike other models, it extends to choices between any number of response alternatives. The LBA model has been shown to accurately predict both correct and incorrect responses, and it is a simplification of Brown and Heathcote's (2005a) ballistic accumulator. The LBA model has been shown to fit data from lexical decision experiments, brightness discrimination experiments, and multiple choice data. The LBA model has been shown to fit data from five previously published experiments, and it has been shown to provide accurate predictions for both correct and incorrect responses. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments.The Linear Ballistic Accumulator (LBA) model is a simplified model of decision-making and reaction time (RT). It uses independent accumulators that race toward a common response threshold, with linear and deterministic accumulation. The model is simpler than other models and can be applied to both binary and multiple choice situations. It successfully accommodates empirical phenomena from binary and multiple choice tasks that have proven difficult for other theoretical accounts. The LBA model provides analytic solutions for predicted distributions and probabilities, making it easy to apply. It is a complete model of choice RT, accommodating all important empirical phenomena, including RT distribution shape, speed-accuracy tradeoffs, and the relative speed of correct vs. incorrect responses. The LBA model is simpler than other models of choice RT and has simple analytic solutions for choices between any number of response alternatives. It has been shown to provide a good description of data from five previously published experiments. The LBA model is a simplification of Brown and Heathcote's (2005a) ballistic accumulator, which was in turn a simplification of Usher and McClelland's (2001) model. The LBA model is a complete model of choice RT, and unlike other models, it extends to choices between any number of response alternatives. The LBA model has been shown to accurately predict both correct and incorrect responses, and it is a simplification of Brown and Heathcote's (2005a) ballistic accumulator. The LBA model has been shown to fit data from lexical decision experiments, brightness discrimination experiments, and multiple choice data. The LBA model has been shown to fit data from five previously published experiments, and it has been shown to provide accurate predictions for both correct and incorrect responses. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments. The LBA model is a complete model of choice RT, and it has been shown to fit data from five previously published experiments.