Finds that although composite ANOVA models explain less that 1% of total variance, implying very small and subtle effects, analysis provides strong evidence that anomalies are statistically robust. (Author/CCM)

The U.S. Army Research Institute for the Behavioral and Social Sciences has developed a wide range of statistical models to test hypotheses generated in relation to an equally wide range of measurement and evaluation situations. The randomized block (RB) design has traditionally been a preferred model for much psychological research. The RB has…

The results of an extensive analysis of the statistical methodology employed by researchers whose manuscripts were published in the first twelve volumes of the "Educational Administration Quarterly" are reported. (Author)

An approach to the analysis of an aptitude-treatment-interaction (ATI) design in which the treatment groups are based on an underlying factorial structure is described and illustrated. The approach emphasizes description with point and interval estimation. The example design considered consisted of two nominal treatment variables and one interval…

Demonstrates how different experimental designs arise from variation of three basic distinctions: block versus treatment factors, fixed versus random factors, and crossed versus nested factors. Argues that understanding how these distinctions influence statistical analysis can reduce amount of experimental design. Presents an example of this by…

This study conducted to determine representation impact on information items retrieval in terms of precision and recall performance and overlap used the INSPEC "Computers and Control Abstracts" loaded on DIATOM, an online retrieval system based on DIALOG, as the database to be searched. Sixty-nine users provided 84 queries which were…

This volume contains the five major addresses and subsequent discussion from the Symposium on the General Linear Models Approach to the Analysis of Experimental Data in Educational Research, which was held in 1967 in Athens, Georgia. The symposium was designed to produce systematic information, including new methodology, for dissemination to the…

Texts often suggest running preliminary tests for homogeneity of variance prior to running an ANOVA. While it has been known for some time that most of the suggested tests are probably not appropriate, they are still being used. This paper is a review of the literature in terms of the implications involved in running preliminary tests in general…

A theoretical model is developed for analysis of intervention effects in multiple autocorrelated time-series which may be classified or blocked two ways. The intervention effect is estimated independently for each series. The estimates are then entered as observations in two-factor analysis of variance with one observation per cell, utilizing a…

Analysis of current models describing citer motivations identified seven most significant motivations for authors: currency scale, negative credit, operational information, persuasiveness, positive credit, reader alert, social consensus. Motivational background for more than 900 citational acts of 26 authors at University of Iowa were gathered and…

Given that theory is a crucial component of path analysis and that major theories in the social sciences either directly or by inference assume interaction, it appears that interaction has to be considered in path analytic models that reflect those theories. The use of interaction within the framework of path analytic methodology is investigated…

A study was conducted to examine the model of public relations practiced and level of research utilization in service versus manufacturing organizations. The study was a secondary analysis of a survey of the International Association of Business Communicators conducted in August 1987. Questionnaires were mailed to 760 people from the 1987…

In a field such as instructional design, explanations of educational outcomes must necessarily consider multiple input variables. To adequately understand the contribution made by the independent variables, it is helpful to have a visual conception of how the input variables interrelate. Two variable models are adequately represented by a two…