ERIC Number: ED189153
Record Type: RIE
Publication Date: 1980-Apr
Reference Count: 0
Multivariate ATI Analysis.
Tate, Richard L.
This paper reviews multivariate hypothesis testing, interval estimation, and discriminant analysis procedures for an aptitude-treatment interaction (ATI) analysis and illustrates the procedures with data from a large experimental study of science education at the secondary school level. The treatment variable of interest is time allowed for study with three controlled levels and the student aptitude is reading ability. The treatment and aptitude variables are shown to interact for four dependent variables representing achievement and attitude, and the interaction is described. The multivariate linear model was used for the analysis. Two advantages of the model are discussed. The inferential payoff is better control of Type I errors in hypothesis testing and confidence levels for interval estimation; and the potential for simplification of the ATI description is greater. (Author/CTM)
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Discriminant Analysis, Hypothesis Testing, Individualized Instruction, Learning Modules, Multivariate Analysis, Reading Ability, School Attitudes, Science Education, Secondary Education, Statistical Significance, Time Factors (Learning)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers: Individualized Science Instructional System
Note: Paper presented at the Annual Meeting of the American Educational Research Association (64th, Boston, MA, April 7-11, 1980).