Analysis of Covariance with Nonparallel Regression Lines
- 16 April 1988
- journal article
- Published by Taylor & Francis in The Journal of Experimental Education
- Vol. 56 (3) , 129-134
- https://doi.org/10.1080/00220973.1988.10806477
Abstract
A flexible and general method of creating linear statistical models that incorporate assumptions implied by hypotheses is described and demonstrated. The demonstration involves testing analysis of covariance type hypotheses in the presence of nonparallel regression lines. Computation requires only an ordinary least squares regression program. The logical justification and statistical rationale for the demonstration problem are based on Rogosa (1980).Keywords
This publication has 2 references indexed in Scilit:
- Linear equality restrictions in regression and loglinear models.Psychological Bulletin, 1984
- Comparing nonparallel regression lines.Psychological Bulletin, 1980