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Peer reviewedAlgina, James; Olejnik, Stephen F. – Evaluation Review, 1982
A method is presented for analyzing data collected in a multiple group time-series design. This consists of testing linear hypotheses about the experimental and control group-means. Both a multivariate and a univariate procedure are described. (Author/GK)
Descriptors: Control Groups, Data Analysis, Evaluation Methods, Experimental Groups
PDF pending restorationWilliams, John D.; Wali, Mohan K.
A solution is proposed for analysis of variance procedures with missing cells, such as may occur when a control group is not assigned to any of the rows or columns of the various experimental groups. Mathematical models for two-way design are presented which define several variables; as well as row effect, column effect, and row and column…
Descriptors: Analysis of Variance, Control Groups, Experimental Groups, Hypothesis Testing
Download full textWilliams, John D.; Newman, Isadore – 1982
Problems associated with the analysis of data collected using the Solomon Four Group Design are discussed. The design includes an experimental group and a control group that have been pretested and posttested, and an experimental and a control group that have been posttested only. A sample problem is approached in three different ways. First, the…
Descriptors: Control Groups, Experimental Groups, Hypothesis Testing, Mathematical Models
Estes, Gary D.; Anderson, Judith I. – 1978
An empirical study was conducted in order to obtain treatment effect estimates with the Special Regression model for groups in which there was no treatment. General mathematics test scores were obtained from 730 ninth graders in city schools somewhat similar to Title I schools, but in which no special treatments were given. Hypothetical…
Descriptors: Achievement Gains, Arithmetic, Compensatory Education, Control Groups
