Alternative methods for controlling compounding error rate in post-hoc analysis of complex experimental designs: a Monte Carlo simulation of type I and type II error

Author

Jack D. Reising, University of Dayton

Date of Award

1993

Degree Name

M.A. in Psychology

Keywords

Analysis of variance, Error analysis (Mathematics), Factorial experiment designs, Monte Carlo method

Rights Statement

Copyright © 1993, author

Recommended Citation

Reising, Jack D., "Alternative methods for controlling compounding error rate in post-hoc analysis of complex experimental designs: a Monte Carlo simulation of type I and type II error" (1993). Graduate Theses and Dissertations. 5138.
https://ecommons.udayton.edu/graduate_theses/5138