TY - JOUR
AU1 - Betz, M. Austin
AU2 - Levin, Joel R.
AB - Logically consistent (“coherent”) hypothesis-testing strategies for factorial analysis-of-variance (ANOVA) designs are proposed in the context of a hierarchical model. It is shown that all of the hypotheses associated with the “traditional” factorial ANOVA model (i.e., main effects and interactions) are conceptually independent and occupy the lowest levels of the hierarchy. A research example is presented to illustrate the kind of conclusions that legitimately follow from testing the traditional hypotheses on the one hand, versus a variety of alternative hypotheses on the other.
TI - Coherent Analysis-of-Variance Hypothesis-Testing Strategies: A General Model
JF - Journal of Educational Statistics
DO - 10.3102/10769986007003193
DA - 1982-09-01
UR - https://www.deepdyve.com/lp/sage/coherent-analysis-of-variance-hypothesis-testing-strategies-a-general-tWcCD1KWSd
SP - 193
EP - 206
VL - 7
IS - 3
DP - DeepDyve
ER -