A Robust Model for Estimating and Testing for Means in Single Subject Experiments
- 1 December 1978
- journal article
- research article
- Published by SAGE Publications in Human Factors: The Journal of the Human Factors and Ergonomics Society
- Vol. 20 (6) , 717-724
- https://doi.org/10.1177/001872087802000609
Abstract
The first order autoregressive model is proposed as a robust model for estimating and testing for means in single subject experiments. It has the advantage of mathematical simplicity, and it provides good approximations to a number of other models of the type typically encountered in behavioral research. Practical considerations on the use of the model are considered including: tests of hypotheses and confidence intervals, sample size requirements, normal approximations, and advantages of the model over the independent error term model. Inferences for means and differences of means are considered.Keywords
This publication has 5 references indexed in Scilit:
- Evaluation Methodologies for Traffic Safety ProgramsHuman Factors: The Journal of the Human Factors and Ergonomics Society, 1976
- Consequences of Failure to Meet Assumptions Underlying the Fixed Effects Analyses of Variance and CovarianceReview of Educational Research, 1972
- SYSTEMATIC REINFORCEMENT: ACADEMIC PERFORMANCE OF UNDERACHIEVING STUDENTS1Journal of Applied Behavior Analysis, 1971
- Effect of Dependence on the Level of Some One-Sample TestsJournal of the American Statistical Association, 1971
- A change in level of a non-stationary time seriesBiometrika, 1965