Measurement invariance is crucial for making valid comparisons across different groups (Kline, 2016; Vandenberg, 2002). To address the challenges associated with invariance testing such as large sample size requirements, the complexity of the model, etc., applied researchers have incorporated parcels. Parcels have been shown to alleviate skewness,…

This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…

Examines the psychometric properties of two procedures for reducing data from the Brazelton Neonatal Behavioral Assessment Scale: factor and cluster analysis. The sample consisted of 85 male and 77 female newborns. (RH)

Both common factor analysis and components analysis are useful techniques for reducing the number of variables in a data set or for identifying underlying covariance structures that exist among a set of variables. Although researchers have for some years debated the appropriateness of selecting one of these methods over the other, components…

The classification of intelligence has been a prime interest to many for over three-quarters of a century. The Wechsler scales of intelligence and the development of factor analysis have both played major roles in the shaping of psychometric thought. An examination of this joint history by means of a review of the factor analytic studies of the…

Readiness skills of 1,261 kindergarten students were assessed with the use of the Kindergarten Instructional Design System (KIDS). The profile provides assessment in five areas: Motor, Visual, Auditory, Language, and Conceptual. Two statistical techniques were utilized to examine the underlying structure of the measure: factor analysis and…

Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…

The validity of a comparison of mean test scores for two groups and of a longitudinal comparison of means within each group is assessed. Using LISREL, factor analyses are used to test the hypotheses of similar factor patterns, equal units of measurement, and equal measurement accuracy between groups and across time. (Author/DWH)

Recent research indicates that a considerable number of children report extreme feelings of loneliness and that unpopular children are more lonely than popular children. The present study assessed feelings of loneliness in two subgroups of unpopular children: those who were rejected (low on positive and high on negative peer nominations) and those…

This study reexamines factor analyses from which A. J. Ayres claimed to have identified perceptual-motor factors found in the scores of children with learning disabilities but not normally learning children. The reappraisal finds no support for the claim, and as a result, no support for derived diagnostic procedures or remedial programs.…

Addresses applications of the coefficient of variation as a measure of educational inequality or as a means of measuring changes of inequality status. Suggests the Gini coefficient has many advantages over the coefficient of variation since it can be used with the Lorenz curve (Lorenz provides detail Gini omits). (BRR)

Kohn's work on the relationship between social class and parental values was expanded by searching for value dimensions other than Kohn's self-direction/conformity construct and by investigating three aspects of social structure: immigrant status, quality of neighborhood, and housing type. Data were collected from parents of 305 9- to 11-year-old…

Uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. The model describes a latent growth curve model that permits the estimation of parameters representing individual and group dynamics. (Author/RH)

The Psychotic Behavior Rating Scale uses a factor analysis approach to aid in differential diagnosis of autism, schizophrenia, mental retardation, aphasia, and other severe handicaps. The scale is compared with five existing qualitatively developed instruments, noting similarities and dissimilarities among the various scales. (Author/JDD)

A procedure for assessing content-area and total-test dimensionality which uses response function discrepancies (RFD) was studied. Three different versions of the RFD procedure were compared to Bejar's principal axis content-area procedure and Indow and Samejima's exploratory factor analytic technique. The procedures were compared in terms of the…