This is a book about quality and how to control quality through deliberate actions on the part of the professionals developing and implementing the instances of instruction available at an organization. Quality control theory favors no particular learning philosophy and is only directed towards aspects of how, what, where and when measurements are…

Mathematical and statistical relationships between factor analysis and smallest space analysis are discussed. As spatial analysis of correlation matrices, factor analysis is a special case of smallest space analysis. The two differ in six ways: Shepard diagram, dimensionality, correction for communality, similarity coefficients, regions versus…

Describes a practical approach that teachers can use to check for test-item validity in test construction. The Kuder-Richardson Reliability Formula is used. Detailed instructions describe the procedure for evaluating items for difficulty and using statistical methods to determine test validity. (AM)

Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)

This handbook treats a restricted set of statistical procedures for addressing some of the most prevalent technical issues that arise in domain-referenced testing. The procedures discussed here were chosen because they do not necessitate extensive computations. The five major sections of the paper cover: (1) item analysis procedures for using data…

A strategy for overcoming problems with the Rasch model's inability to handle missing data involves a pairwise algorithm which manipulates the data matrix to separate out the information needed for the estimation of item difficulty parameters in a test. The method of estimation compares two or three items at a time, separating out the ability…