The purpose of the current research has been to establish the factorial validity and reliability of the Work Components Study in the public school system. (Author/RK)

A simple means of estimating patron use is described. Over a year's time about 100 observations were obtained which were extrapolated to produce estimates of library use by hour, day of week, month, and university term. (Author)

The purposes of this study were to determine which of the tests, PPVT, SIT, or Lorge-Thorndike (LT), may be the most useful to the classroom teacher in predicting reading achievement, for use in reading expectancy formulas, and for analyzing I.Q. scores obtained on different tests. (Author/RK)

Paper covers the first part of a study that is concerned with the inferential accuracy of the formulas that have been developed to correct'' several sample statistics for the effects of restriction of range. (Authors)

Data processing problems encountered in a comparative study of teacher roles are discussed. (DB)

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)