This paper examines interaction in a school class through the factor-analytical P-technique, considers the behavior of the factor scores in combination with certain other variables included in the interaction matrix, explores the formation of homogeneous groups of lessons in a grouping analysis based on the factor scores, and compares this latter…

Quantitative growth curve models for estimating individual developmental functions from various types of longitudinal data are discussed in the context of investigator assumptions and research design characteristics. Linear and nonlinear models that estimate growth curves are illustrated, and contrasted when they are fit to speech development…

Methodological challenges associated with structural equation modeling (SEM) and structured means modeling (SMM) in research on school violence and related topics in the social and behavioral sciences are examined. Problems associated with multiyear implementations of large-scale surveys are discussed. Complex sample designs, part of any…

The central purpose of this study was to examine the relationship between distribution of teaching talent and geographic location of local school districts of California. School districts were assigned to one of four geographic categories (urban, suburban, rural, or small urban centers). Each category's teaching talent was assessed on six measures…

Social statistics may exaggerate the degree of hardship caused by labor market problems. Yet, in many ways social statistics underestimate the degree of hardship caused by extended unemployment, underemployment, and low wages. Therefore, new measures are needed to reassess long-term and cyclical labor market developments, the changing status of…