Automaticity: a theoretical and conceptual analysis

Several theoretical views of automaticity are discussed. Most of these suggest that automaticity should be diagnosed by looking at the presence of features such as unintentional, uncontrolled/uncontrollable, goal independent, autonomous, purely stimulus driven, unconscious, efficient, and fast. Contemporary views further suggest that these features should be investigated separately. The authors examine whether features of automaticity can be disentangled on a conceptual level, because only then is the separate investigation of them worth the effort. They conclude that the conceptual analysis of features is to a large extent feasible. Not all researchers agree with this position, however. The authors show that assumptions of overlap among features are determined by the other researchers' views of automaticity and by the models they endorse for information processing in general.     

A note on lower bounds for the number of common factors

It is shown that the lower bounds for the number of common factors, established by Guttman [1954] and modified by Kaiser [1961], cannot decrease as the number of observed variates is increased. The result implies that the lower bounds cannot become weaker if the number of observed variates is increased and the number of factors remains constant.This paper is based on a section of a thesis submitted to the Department of Statistics of the University of the Witwatersrand in fulfillment of the requirements for a M.Sc. degree.Presently at the National Institute for Personnel Research, Johannesburg, South Africa.     

On oblique procrustes rotation

The equations involved in the rotation of an arbitrary factor matrix to a least squares fit to a specified factor structure have been known for many years. These equations, in general, cannot be solved by purely algebraic means, and an approximate solution has previously been used in practical applications.In this paper an effective iterative method for obtaining the exact solution is developed. By algebraic manipulation the set of equations is expressed in the form of one polynomial equation in one unknown. Newton's method is suggested for solving this equation. Practical applications of the procedure indicate that convergence within small tolerance limits is generally attained after few iterations.Part of this research was carried out at the National Institute for Personnel Research (South Africa). It was completed while the author was a Visiting Research Psychologist at Educational Testing Service.     

When fit indices and residuals are incompatible

Standard chi-square-based fit indices for factor analysis and related models have a little known property: They are more sensitive to misfit when unique variances are small than when they are large. Consequently, very small correlation residuals indicating excellent fit can be accompanied by indications of bad fit by the fit indices when unique variances are small. An empirical example of this incompatibility between residuals and fit indices is provided. For illustrative purposes, an artificial example is provided that yields exactly the same correlation residuals as the empirical example but has larger unique variances. For this example, the fit indices indicate excellent fit. A theoretical explanation for this phenomenon is provided using relationships between unique variances and eigenvalues of the fitted correlation matrix.     

Clarifying the construct of perfectionism

The construct of perfectionism is related to many important outcome variables. However, the term perfectionism has been defined in many different ways, and items comprising the different existing scales appear to be very different in content. The overarching aim of the present set of studies was to help clarify the specific unidimensional personality constructs that contribute to perfectionistic behavior. First, trained raters reliably sorted items from existing measures of perfectionism into nine dimensions. An exploratory factor analysis, followed by a confirmatory factor analysis on an independent sample, resulted in a 9-scale, 61-item measure, called the Measure of Constructs Underlying Perfectionism. The nine scales were internally consistent and stable across time, and they were differentially associated with relevant measures of personality in theoretically meaningful ways.     

Screen Time as a Mechanism Through Which Cumulative Risk is Related to Child Socioemotional and Developmental Outcomes in Early Childhood

Research on Child and Adolescent Psychopathology - Socio-demographic risks are associated with higher child screen time and higher screen time is associated with poor socioemotional and...     

Analytic Standard Errors for Exploratory Process Factor Analysis

Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data. In addition, factor rotation is treated as the imposition of equality constraints on model parameters. Properties of the analytic standard errors are demonstrated using empirical and simulated data.     

Exploring the Intersecting Health Risks of Substance Abuse,Sexual Risk,and Violence for Female South African Teen Dropouts

The study sought to better understand the cultural contexts of the risks for adolescent females who have dropped out of school. Focus groups were conducted with 37 Black and Coloured females aged 13 to 17 in Cape Town, South Africa. Data were analysed using content analysis. Methamphetamine, cannabis, and alcohol were used by both, however, Black teens also used methaqualone and Coloured teens used heroin and ecstasy. Some teens traded sex for drugs and others did so at the request of their drug-addicted mothers. Teens revealed high rates of violence, including rape, and many myths and barriers about condom use, revealing risky sex behaviours. Conclusion—Cultural nuances between the two groups will help inform the adaptation of an HIV prevention intervention.