A multidimensional scaling procedure is introduced that attempts to derive a spatial representation of stimuli unconfounded by the effect of subjects' degrees of familiarity with these stimuli. A Monte Carlo study investigating the extent to which the procedure recovers known parameters shows that the procedure succeeds in adjusting for…

Two of the most popular methods of profile analysis, cluster analysis and modal profile analysis, have limitations. First, neither technique is adequate when the sample size is large. Second, neither method will necessarily provide profile information in terms of both level and pattern. A new method of profile analysis, called Profile Analysis via…

Purpose: We examined the relationship between the quality indicator for decline in activities of daily living (ADL) and the use of the Minimum Data Set (MDS) for determining Medicaid skilled nursing facility reimbursement. Design and Methods: We conducted a cross-sectional analysis using the 2004 National MDS Facility Quality Indicator reports as…

The purpose of this research is to provide additional empirical evidence supporting the use of both a multidimensional profile and an overall evaluation of teaching effectiveness as valid indicators of student perceptions of effective classroom instruction. A factor analytic teaching evaluation instrument was used that also included open-ended…

Many students do not receive the adequate academic and social support during their enrollment in a higher education institution that could positively impact their abilities to succeed in college (Astin, 1984; Hurtado & Carter, 1997; Nora, 1987; Pascarella & Terenzini, 1991). These support systems can be viewed as providing a holistic mentoring…

This article reviews issues involved with using norm-referenced measures within an intervention validity model. Methodological examination of intervention validity has become more important as intervention methodologies have become part of federal legislation. However, current practice and federal guidelines often implicitly portray a dichotomy…

We examined autonomic physiological responses induced by six different cognitive ability tasks, varying in complexity, that were selected on the basis of on Guilford's Structure of Intellect model. In a group of 52 participants, task performance was measured together with nine different autonomic response measures and respiration rate. Weighted…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

A proposed model of human knowledge structure was studied, beginning with an operational definition of knowledge structure. A battery of available knowledge structure measurement techniques was used to detect structure differences between two experience level groups in the domain of clerical work. Subjects were 15 experienced secretaries and 15…

An alternative content method, allowing bipolar representation and based on separate scaling of quality and intensity, is presented. For comparative purposes the method was used together with a distance method and an ordinary content method, with nine words denoting emotions as stimuli. (Author)

While factor analysis is the most commonly proposed procedure for determining dimensionality, a recently developed procedure called order analysis may also prove to be useful for isolating unidimensional item sets. The first study in this report compares three order analysis procedures: Krus and Bart's (1974) procedure and Reynolds' (1976)…

Multidimensional scaling has recently been enhanced so that data defined at only the nominal level of measurement can be analyzed. The efficacy of ALSCAL, an individual differences multidimensional scaling program which can analyze nominal, ordinal, interval and ratio data is presented. (Author/JKS)

A FORTRAN computer program was derived for an IBM series 360/370 computer system that provides a factor analytic solution for large three-dimensional data matrices. The computational procedures employed are based upon those presented in Method III by Tucker. (Author/JKS)

The problem of the additive constant is the problem of making interval data approximate ratio data. This paper discusses some issues concerning the additive constant and presents a new formulation of and solution for the problem. (JKS)

Order analysis is discussed as a method for description of formal structures in multidimensional space. Its algorithm was derived using a combination of psychometric theory, formal logic theory, information theory, and graph theory concepts. The model provides for adjustment of its sensitivity to random variation. (Author/JKS)