Although it makes a great deal of sense to attempt to design reading research so as to be able to generalize beyond the particular reading passages used in an experiment, the suggestion that tests of statistical significance are a necessary part of making valid generalizations is nonsense. (HOD)

Problems associated with the use of gain scores, analysis of covariance, multicollinearity, part and partial correlation, and the lack of rectilinearity in regression are discussed. Particular attention is paid to the misuse of statistical techniques. (JKS)

Considers some of the differences between "qualitative" and "quantitative" types of research, suggests three kinds of strategies for identifying qualitatively derived models and data that could be useful in collaboration across orientations, and concludes with some remarks on implications of both types of research. (Author/JM)

Reviews and criticizes papers by Rist, Fienberg, and Erickson in this issue of the Quarterly. (JM)

Presents an assessment of the relative performance of public and private schools, based on data from the Educational Testing Service. Challenges the Coleman Report's assertion that private schools more closely approximate the common school egalitarian ideal and sever the connections between background characteristics and measured achievement. (SA)

Guidelines that should be followed in reporting quantitative research are given. Common errors made in reporting research are discussed, along with specific suggestions on how to avoid the errors. (Author)

Indicates that the explanation of what it means to obtain a significant F-ratio in discriminant function analysis, presented by K. E. Anderson in an earlier volume of Science Education, is incorrect. (JR)

Focuses on the analytic and methodological base for Jencks' finding that the correlation between income and educational variables is very low; apparently the Jencks group considered path analysis a powerful inferential technique, while ignoring the limitations placed on it by a highly restrictive series of assumptions. (Author/JM)

Explores problems involved in the quantitative verification of independent variables in investigations of the effects on student outcomes of planned variations in instructional behavior. Specifically addresses (1) gathering of data through direct systematic observation, and (2) analysis of those data through the use of inferential statistics. (GC)

A recent article by William R. Dunlap on admissions criteria is presented to illustrate applied statistical misuse. It is the basis for discussion of severe methodological problems including range truncation, dummy coding, identifying race and sex bias, measuring professional potential, and generalization of findings. The author's response is…

Evaluations involving nonrandom assignment to treatment or control groups are vulnerable to an accidental or intentional confounding of a selection effect with the treatment effect. Two techniques, discriminant analysis and base expectancy analysis, permit separate estimation of the selection and treatment effects in the final results. (Author/CTM)

This critique points out problems in the methodology used by Robinson and Bell in their analysis of societal differences between the United States and England and makes suggestions about future investigations. (EB)

Discusses the application of the Kolmogorov-Smirnov two-sample tests, as an alternative to the Chi-square test, for survey research problems in business education and includes a computer program written for the convenience of researchers. The two-sample test is recommended for differentiating independent distributions. (MF)

This review of research on the social integration of children with disabilities in mainstreaming programs addresses the problems of generalizing findings to other groups of children, use of simplistic measuring techniques, limited evidence supporting the use of multivariate statistical procedures, and interpretation of treatment effects.…

Research suggests correlations between student gains and college experiences may be an artifact of halo effect. A study examined whether halo error underlies students' self-reported gains, significance of the error, and its effect on the relationship between college experiences and educational outcomes. Results confirm halo error may be an…