The historical tendency to view medicine as both an art and a science may have contributed to a disinclination among clinicians towards cognitive science. In particular, this has had an impact on the approach towards the diagnostic process which is a barometer of clinical decision-making behaviour and is increasingly seen as a yardstick of…

Short forms of psychometric scales have been commonly used in educational and psychological research to reduce the burden of test administration. However, it is challenging to select items for a short form that preserve the validity and reliability of the scores of the original scale. This paper presents and evaluates multiple automated methods…

A value-centered approach to science, technology and society (STS) education illuminates the need of reflexive and relational learning through communication and public engagement. Visualization is a key to represent and compare mental models such as assumptions, background theories and value systems that tacitly shape our own understanding,…

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

This paper presents heuristic explanations of factor scores, structure coefficients, and communality coefficients. Common misconceptions regarding these topics are clarified. In addition, (a) the regression (b) Bartlett, (c) Anderson-Rubin, and (d) Thompson methods for calculating factor scores are reviewed. Syntax necessary to execute all four…

The goal of this chapter is to recommend quality criteria to guide evaluators' selections of sampling designs when mixing approaches. First, we contextualize our discussion of quality criteria and sampling designs by discussing the concept of interpretive consistency and how it impacts sampling decisions. Embedded in this discussion are…

In this study, the role of teacher-student relationships and students' social and emotional skills as potential predictors of students' emotional and behavioural difficulties was investigated by tapping into 962 primary school students' perceptions via questionnaires. While significant correlations were found linking teachers' interpersonal…

Background: Two major conceptions of learning exist: reproducing new material and transforming material to make meaning. Teachers' understandings of what learning is probably influence their teaching practices and student academic performance. Aims: To validate a short scale derived from Tait, Entwistle, & McCune's (1998) ASSIST inventory and…

This paper presents the methodology for performing and interpreting second-order factor analysis. Procedures for extracting and rotating solutions are presented. Critical issues of interpretation, such as interpreting second-order factors are discussed. Two methods for accomplishing this are explained, including multiplying the first- and…

Data reduction techniques seek to combine variables that account for patterns of variation in observed dependent variables in such a way that a simpler model is available for analysis. Factor analysis is a data reduction technique that attempts to model or explain a set of variables in terms of their associations. To understand why this technique…

Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…

This paper explains how Q-technique factor analysis can be used to identify types or clusters of people with similar views. Q-technique factor analysis can be implemented with commonly available statistical software such as the Statistical Package for the Social Sciences (SPSS). The paper addresses three questions: (1) How many types (factors) of…

The recognition that all parametric methods are interrelated, coupled with the notion that structure coefficients are often vital in factor and canonical analyses, suggests that structure coefficients may be important in univariate analysis as well. Using a small, heuristic data set, this paper discusses the importance of structure coefficients…

Factor analysis has been characterized as being at the heart of the score validation process. In virtually all applications of exploratory factor analysis, factors are rotated to better meet L. Thurstone's simple structure criteria. Two major rotation strategies are available: orthogonal and oblique. This paper reviews the numerous rotation…

Factor analysis has historically been used for myriad purposes in the social and behavioral sciences, but an especially important application of this technique has been to evaluate construct validity. Since in the present milieu both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are readily available to the researcher,…