Principal component analysis of three-mode data by means of alternating least squares algorithms

A new method to estimate the parameters of Tucker's three-mode principal component model is discussed, and the convergence properties of the alternating least squares algorithm to solve the estimation problem are considered. A special case of the general Tucker model, in which the principal component analysis is only performed over two of the three modes is briefly outlined as well. The Miller & Nicely data on the confusion of English consonants are used to illustrate the programs TUCKALS3 and TUCKALS2 which incorporate the algorithms for the two models described.     

Isolating the effects of active responding in computer-based instruction

This experiment evaluated the effects of requiring overt answer construction in computer-based programmed instruction using an alternating treatments design. Four college students worked through an instructional program that alternated between presenting frames with blanks requiring overt responses and complete frames without blanks. All students produced a higher percentage of correct posttest answers corresponding to program segments that required overt answer construction.     

Constrained DEDICOM

The DEDICOM method for the analysis of asymmetric data tables gives representations that are identified only up to a nonsingular transformation. To identify solutions it is proposed to impose subspace constraints on the stimulus coefficients. Most attention is paid to the case where different subspace constraints are imposed on different dimensions. The procedures are discussed both for the case where the complete table is fitted, and for cases where only offdiagonal elements are fitted. The case where the data table is skew-symmetric is treated separately as well.The research of H. A. L. Kiers has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences. The research of Y. Takane has been supported by the Natural Sciences and Engineering Research Council of Canada, grant number A6394, and by the McGill-IBM Cooperative Grant. The authors are obliged to Richard A. Harshman for helpful comments on an earlier version.     

A monotonically convergent algorithm for factals

Takane, Young, and de Leeuw proposed a procedure called FACTALS for the analysis of variables of mixed measurement levels (numerical, ordinal, or nominal). Mooijaart pointed out that their algorithm does not necessarily converge, and Nevels proposed a new algorithm for the case of nominal variables. In the present paper it is shown that Nevels' procedure is incorrect, and a new procedure for handling nominal variables is proposed. In addition, a procedure for handling ordinal variables is proposed. Using these results, a monotonically convergent algorithm is constructed for FACTALS of any mixture of variables.The authors are obliged to Jos ten Berge for stimulating comments on an earlier version of this paper. The research of H. A. L. Kiers has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences. The research of Y. Takane has been supported by the Natural Sciences and Engineering Research Council of Canada, grant number A6394, and by the McGill-IBM Cooperative Grant.     

Weighted least squares fitting using ordinary least squares algorithms

A general approach for fitting a model to a data matrix by weighted least squares (WLS) is studied. This approach consists of iteratively performing (steps of) existing algorithms for ordinary least squares (OLS) fitting of the same model. The approach is based on minimizing a function that majorizes the WLS loss function. The generality of the approach implies that, for every model for which an OLS fitting algorithm is available, the present approach yields a WLS fitting algorithm. In the special case where the WLS weight matrix is binary, the approach reduces to missing data imputation.This research has been made possible by a fellowship from the Royal Netherlands Academy of Arts and Sciences to the author.     

颜色交替文本促进小学高年级聋生篇章阅读的眼动研究

聋生由于听力损失,导致其在阅读方面存在一定的困难。如何提高聋生的阅读效率是一个具有重要的实践价值的课题。本研究采用眼动追踪技术,以29名小学高年级聋生为研究对象,考察颜色交替词标记形式对小学高年级聋生篇章阅读的促进作用。结果发现,无论是眼动指标的整体分析还是局部分析,均支持颜色交替词标记文本可以有效地提高小学高年级聋生的语篇阅读效率。本研究结果对于训练提高小学高年级聋生的阅读效率具有一定的启发意义。     

Assimilation Effects of Eye Shadow on Facial Colors

Makeup can change facial complexion, making it of interest both practically and for empirical research on perception. We examined the assimilation effect of eye shadow on complexion using two series of eye shadows: typical colors that are not evenly saturated and colors with saturation as even as possible. Twenty participants assessed the degree of redness in reddish faces, yellowness in yellowish faces, and lightness in both faces via paired comparisons. The results indicated that: (a) the reddish face was perceived as redder when it had eye shadow of pinkish and purplish colors or reddish saturated colors instead of containing yellowish components; (b) the yellowish face became less yellow with colors without a greenish or yellowish component; and (c) except for the lighter yellowish shade, eye shadow made the face perceptually darker. We confirmed the assimilation effect of eye shadow on complexion and showed differences in perceptual hue change according to the original face colors.     

Generalized structured component analysis

We propose an alternative method to partial least squares for path analysis with components, called generalized structured component analysis. The proposed method replaces factors by exact linear combinations of observed variables. It employs a well-defined least squares criterion to estimate model parameters. As a result, the proposed method avoids the principal limitation of partial least squares (i.e., the lack of a global optimization procedure) while fully retaining all the advantages of partial least squares (e.g., less restricted distributional assumptions and no improper solutions). The method is also versatile enough to capture complex relationships among variables, including higher-order components and multi-group comparisons. A straightforward estimation algorithm is developed to minimize the criterion.The work reported in this paper was supported by Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the second author. We wish to thank Richard Bagozzi for permitting us to use his organizational identification data and Wynne Chin for providing PLS-Graph 3.0.     

Stimulating performance: A scoping review on transcranial electrical stimulation effects on olympic sports

Transcranial electrical stimulation (tES) is widely used to explore the role of various cortical regions involved in a multitude of motor and cognitive processes. Recently, tES has been discussed as being able to potentially enhance performance in sports and even been suggested as a potential way of boosting performance in competitions. In this scoping review, we systematically investigate the literature on tES-induced performance modulations on Olympic sports. The aim is to create a critical overview of the emerging field of tES-enhanced sports performance. Further, methodological approaches, research desiderata, and potential directions for future research will be identified. The final dataset shows a large variation in methodology and a lack of research into the area. Further, partially sub-optimal choices in study design, methodology, and lacking consistency in reporting procedures may impede valid conclusions and obscured the effects of tES on Olympic sports. Consequently, we outline future directions and areas to improve research.     

Comparison of bite-presentation methods in the treatment of food refusal

The current study examined the rate of expulsions and mouth cleans across 3 presentation methods (upright spoon, flipped spoon, Nuk brush) for a 3-year-old girl with a feeding disorder. The participant expelled all bites presented on an upright spoon. Results showed reduced rates of expulsions and increased mouth cleans during the flipped spoon and Nuk brush presentation methods.