Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…

It is generally believed that the correction formula will yield exact correlational values only when the regression of z on x is both linear and homoscedastic. The formula is shown to hold for nonlinear heteroscedastic relationships. A simple sufficient condition for formula validity and estimation predictions is demonstrated in a numerical…

The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…

Discusses procedures and considerations involved with secondary analyses of longitudinal databases. Procedures involve (1) formulating questions; (2) creating a feasibility matrix; (3) reformulating questions; (4) creating derived variables; (5) performing data reduction; (6) analyzing data; and (7) interpreting results. Problems associated with…

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)

This response to TM 505 708 briefly reviews the five major points of that article, and adds seven points that evaluators should consider when preparing reports. Illustrations are taken from Project Follow Through. (BW)

Design, analysis, and reporting considerations for the application of analysis of covariance (ANCOVA) techniques in educational settings are described. Numerous examples are drawn from the national follow through evaluation, and suggestions for improving reports using ANCOVA-type techniques are presented. (Author/BW)

Reports research concerning the definition of variables by pupils ages 12 to 14 during investigative work. Findings suggest that an increase in the complexity of an investigation lowers the ability to identify relevant variables and substantive concepts intrude on the ability to define the appropriate dependent variable and to control variables.…

Discusses issues involved with selecting a methodology and data analysis technique for studying divergent views of the family. Qualitative and quantitative methods, and linear and nonlinear models, are described. Statistical and theoretical issues regarding the use of discrepancy scores are examined. (BC)

With a sample of 531 children measured on 79 variables, a series of discriminant function predictions of school placement were computed to compare the results of selected alternative procedures for treating missing data in multivariate data analyses. Procedures included elimination of cases with missing data as well as methods for substituting…

Discusses the "5 percent fallacy," which refers to the number of older people living in institutions at a given time, and the likelihood of an older person dying in an institution. Three articles discuss research methodology, data interpretation, and measuring techniques. (JAC)

An "undesigned" experiment is one in which the predictor variables are correlated, either due to a failure to complete a design or because the investigator was unable to select or control relevant experimental conditions. The traditional method of analyzing this class of experiment--multiple regression analysis based on a least squares…

The methodological parameters of evaluative research studies help to identify a conceptualization of the phenomenon under investigation. Holistic critiques that identify the conceptual models under which the research was conducted shed light on the validity of the disparate inferences made from a number of studies of schools and school…

When two groups, initially dissimilar, undergo different treatments, can subsequent differences be partitioned in such a way that the difference between the two treatments is unbiased? This is the central problem of this paper, and it is confronted by the examination of two levels of information using a Follow Through Evaluation. The first…

This collection of reports on the measurement and meaning of unemployment consists of 13 papers devoted to some of the deficiencies in youth employment statistics, some of the necessary considerations in their implications, and many of the issues involved in their application to assess program impacts. Analyzed first are the youth labor force…