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…

This article addresses how evaluation criteria improve educational Web-information system design, and the tangible and intangible benefits of using evaluation criteria, when implemented in an educational Web-information system design. The evaluation criteria were developed by the authors through a content validation study applicable to…

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)

Data generated by the pair-comparison method can be analyzed by least squares. A system of normal equations is derived by which the original objects are scaled. One advantage of this method is that it is not necessary to compare all object pairs. Examples are provided. (Author/JKS)

The G index of agreement does not permit the use of various weights for its various items. The weighted G index described here, make it possible to use unequal weights. An example of the procedure is provided. (Author/JKS)

Research into statistical validations of constructs in physical education obtained by seriation and multidimensional scaling, revealed that (a) larger matrix sizes produced the most accurate results; (b) as data error introduction was increased, solution accuracy decreased; and (c) seriation produced slightly more accurate results than one- and…

Describes the use of multidimensional scaling (MDS), emphasizing applications in counseling and vocational psychology. Includes an example of one standard nonmetric scaling method. Addresses conceptual and practical considerations associated with the use of MDS. (Author/KS)

Critical examination is made of the recent controversy over the value of Monte Carlo techniques in nonmetric multidimensional scaling procedures. The case is presented that the major relevance of Monte Carlo studies is not for the local minima problem but for the meaningfulness of the obtained solutions. (Author)

It is the purpose of this paper to suggest the orthogonal analysis of variance as a device for simplifying either the analytic or iterative problem of finding LS (least squares) estimates for the parameters of particular nonlinear models. (Author/RK)