One in a series of nine articles in a section entitled, "Electronic Computer Program and Accounting Machine Procedures.

Illustrates the basic concepts of the loglinear approach to research analysis. Explains what type of research questions are answerable and what type of data will lend itself to a loglinear analysis approach. Three educational research examples illustrate this concept. (TLJ)

This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)

A concise table is presented based on a general measure of magnitude of effect which allows direct determinations of statistical power over a practical range of values and alpha levels. The table also facilitates the setting of the research sample size needed to provide a given degree of power. (Author/CM)

This article builds on an earlier discussion of the importance of the Type II error (beta) and power to the hypothesis testing process (CE 511 484), and illustrates the methods by which sample size calculations should be employed so as to improve the research process. (Author/CT)

The authors use examples to illustrate how the design of a study conveys the overall strategy and soundness of the investigation. Elements of research design that are discussed include setting, subjects, sample, treatment, measurement, and communication of results. (CT)

A simple example is presented that illustrates advantages of Bayesian and likelihood methods of inference relative to sampling distribution methods of inference. It is argued that Bayesian and likelihood methods of inference should be utilized more generally to analyze real data. (Author/CTM)

Proposed a new nonlinear structural equation model with fixed covariates to deal with some complicated substantive theory and developed a Bayesian path sampling procedure for model comparison. Illustrated the approach with an illustrative example using data from an international study. (SLD)

Explores whether sampling is better than head count for census taking and if there is a genuine undercount distinct from "floating" populations. Discusses whether the census should accommodate the various interests who have addressed the question of the quality of enumeration, as well as the larger responsibilities of demographers for…

Discusses the pros and cons of sampling to improve the census versus the traditional methods of census taking, and the problems that changes in procedure can create. Also discusses chronic problems in census taking, regardless of procedural methods used, and observations on how to lessen their impact. (GR)

The aims and methods of the National Center for Postsecondary Governance and Finance research team that has been studying institutional leadership are described. (Author/MLW)

Addresses issue of range enhancement effects on correlations, asserting that, while adding to or deleting from sample can affect variance and correlation in sample, increases or decreases in individual differences in intact sample resulting from such factors as history, maturation, training, and experience will not necessarily affect correlations.…