CDAscal: An algorithm for assessing the correspondence of one or more vectors to a symmetric matrix using ordinal regression

An algorithm for assessing the correspondence of one or more attribute rating variables to a symmetric matrix of dissimilarities is presented. The algorithm is useful as an alternative to fitting property variables into a multidimensional scaling space. Rather than requiring a two step process of first deriving a multidimensional space and then fitting variables individually into the space, the algorithm directly assesses the correspondence of each variable to the symmetric matrix and permits a regression extension such that a set of variables can be considered simultaneously. The relation between the matrix and the variables is determined by evaluating pairs of pairs relations, . Though the algorithm requires only ordinal assumptions, the correspondence may be computed intervally also. Multiple ordinal regression is performed with the values derived from the matrix serving as the dependent variable and those derived from the attribute ratings serving as the independent variables. Standard multiple regression statistics forR-square,F, andt are calculated as well as measures of ordinal association between the vectors and the matrix.     

An algorithm for comparing medians

An algorithm is presented for computing a test statistic for comparing medians based on a small-sample size estimate of the variance of the usual sample median.     

An automated bisection device for assessing attentional neglect in clinical populations

An automated bisection device (ABD) is described that is designed for use in assessing the direction of three-dimensional neglect in various clinical populations. This device features an apparatus containing two base sections and a connecting rod, on which is located a bisection indicator assemblage that can be moved either by hand or by a calibrated motor-drive system. The indicator assemblage is, in turn, connected to a motor-control box with variable speed settings and a digital readout. The ABD can be used to measure bisection estimations along all three linear axes (lateral, vertical, and depth) by providing visual cues alone, tactile cues alone, or a combination of visual and tactile cues.     

An algorithm for finite conjoint additivity

A complete solution to the problem of finite conjoint additivity is provided, not only to answer the question of whether a particular order is conjointly additive, but also to detail the possible value assignments which demonstrate conjoint additivity for the order. In the process, a complete solution is given to the problem of solving a finite number of homogeneous linear inequalities in a finite number of variables. While others have reduced the problem to the solution of systems of linear inequalities, the algorithm presented here is based on “basic inequalities,” and it provides considerable computational simplicity over previous algorithms.     

Implications-as-Rules vs. Implications-as-Links: An Alternative Implication-Left Schema for the Sequent Calculus

The interpretation of implications as rules motivates a different left-introduction schema for implication in the sequent calculus, which is conceptually more basic than the implication-left schema proposed by Gentzen. Corresponding to results obtained for systems with higher-level rules, it enjoys the subformula property and cut elimination in a weak form.     

IMINCE: An unrestricted factor-analysis-based program for assessing measurement invariance

In this article, a Windows program for analyzing measurement invariance in two different populations is described. Factor analysis is a common way of assessing measurement invariance, and restricted factor analysis is now the most popular method. However, applied researchers have usually found that the theoretical advantages of restricted factor analysis do not always apply in practical situations. For example, when the participant sample is large, as is the case in Internet-based questionnaires, the available software for restricted factor analysis might fail to converge on a solution. Our program is based on unrestricted factor analysis and considers the three parameters that define factor invariance: difficulties, discriminations, and residual variances. The statistical significance of the tests for evaluating invariance is obtained using Bootstrap resampling procedures. A real-life example demonstrates the usefulness of the program.     

An inventory for assessing interpersonal communication competence of college students

We have developed and validated a new Interpersonal Communication Competence Inventory (ICCI) for college students. Study 1 describes the development of the ICCI and results of an exploratory factor analysis of data from 1336 Chinese students, which identified a four-factor model with reasonable internal consistency. Study 2 describes results of a confirmatory factor analysis of data from 593 Chinese students, which cross-validated the four-factor model as well as supporting the validity of the overall scale. Taken together, these results suggest that the ICCI is a psychometrically valid measure of interpersonal communication competence of college students.     

A two-stage algorithm for assessing violations of additivity via axiomatic and numerical conjoint analysis

An algorithm for assessing additivity conjunctively via both axiomatic conjoint analysis and numerical conjoint scaling is described. The algorithm first assesses the degree of individual differences among sets of rankings of stimuli, and subsequently examines either individual or averaged data for violations of axioms necessary for an additive model. The axioms are examined at a more detailed level than has been previously done. Violations of the axioms are broken down into different types. Finally, a nonmetric scaling of the data can be done based on either or both of two different badness-of-fit scaling measures. The advantages of combining all of these features into one algorithm for improving the diagnostic value of axiomatic conjoint measurement in evaluating additivity are discussed.     

An algorithm for generating artificial test clusters

An algorithm for generating artificial data sets which contain distinct nonoverlapping clusters is presented. The algorithm is useful for generating test data sets for Monte Carlo validation research conducted on clustering methods or statistics. The algorithm generates data sets which contain either 1, 2, 3, 4, or 5 clusters. By default, the data are embedded in either a 4, 6, or 8 dimensional space. Three different patterns for assigning the points to the clusters are provided. One pattern assigns the points equally to the clusters while the remaining two schemes produce clusters of unequal sizes. Finally, a number of methods for introducing error in the data have been incorporated in the algorithm.     

An improved algorithm for predicting free recalls

Laming [Laming, D. (2006). Predicting free recalls. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 1146-1163] has shown that, in a free-recall experiment in which the participants rehearsed out loud, entire sequences of recalls could be predicted, to a useful degree of precision, from the prior sequences of stimuli and rehearsals. This article describes an improved predictive algorithm, which is then used to re-analyse two further sets of free-recall data. Prediction is compared, generically, with conventional modelling, represented here by three recent models of free recall that are concerned with recalls only, not with rehearsals. Some implications are drawn, from the use of rehearsal data by the predictive algorithm, for some of the constituent assumptions embodied in those three models.     

An evolutionary perspective on effective vs. ineffective pick-up lines

This experiment examined women's impressions of men using various "pick-up" lines. Seventy women imagined being approached by a man using a flippant and flirtatious "pick-up" line, a direct complimentary line, or an innocuous line that masks his interest. His attractiveness varied too. They then considered him for long-term or short-term relationships. Matching a "good dad" hypothesis, they favored him for a long-term relationship if he used a direct or innocuous line instead of the flippant line, because the latter conveyed lower trustworthiness and intelligence. Matching a "good genes" hypothesis, they favored him for a short-term relationship if he was attractive instead of unattractive, regardless of his pick-up line, presumably because attractiveness signals heritable fitness. Limitations and theoretical implications are discussed.     

An efficient algorithm for joint correspondence analysis

Joint correspondence analysis is a technique for constructing reduced-dimensional representations of pairwise relationships among categorical variables. The technique was proposed by Greenacre as an alternative to multiple correspondence analysis. Joint correspondence analysis differs from multiple correspondence analysis in that it focuses solely on between-variable relationships. Greenacre described one alternating least-squares algorithm for conducting joint correspondence analysis. Another alternating least-squares algorithm is described in this article. The algorithm is guaranteed to converge, and does so in fewer iterations than does the algorithm proposed by Greenacre. A modification of the algorithm for handling Heywood cases is described. The algorithm is illustrated on two data sets.     

An Evolutionary Perspective on Effective vs. Ineffective Pick-up Lines

ABSTRACT

The present study integrates social exchange, role theory, and climate research to suggest that employees who have contact with customers (“contact employees”) will reciprocate felt obligations of high-quality employment relationships (i.e., perceived organizational support [POS]). They do this by expanding their role in ways that are consistent with contextual behavioral expectations. A longitudinal survey of 1,387 contact employees and 666 supervisors in a large supermarket chain in Taiwan demonstrated that the positive relationship between POS and service-oriented organizational citizenship behavior (SOCB) role definitions was strengthened by service climate. In summary, organizational support resulted in expanded SOCB role definitions within a strong service climate, while this relationship was much weaker and not significant in weak service climate. I discuss theoretical and managerial implications through this empirical examination.     

Interference suppression vs. response inhibition: An explanation for the absence of a bilingual advantage in preschoolers’ Stroop task performance

The well-documented advantage that bilingual speakers demonstrate across the lifespan on measures of controlled attention is not observed in preschoolers’ performance on Stroop task variations. We examined the role of task demands in explaining this discrepancy. Whereas the Color/Word Stroop used with adult participants requires interference suppression, the Stroop task typically used with preschoolers requires only response inhibition. We developed an age-appropriate conflict task that measures interference suppression. Fifty-one preschool children (26 bilinguals) completed this new Bivalent Shape Task and the Day/Night task used in previous research. Bilingual in comparison to monolingual children performed better on incongruent trials of the Bivalent Shape Task, but did not differ on other measures. The results indicate that the discrepancy between preschoolers and older individuals in performance on Stroop task adaptations results from characteristics of the task rather than developmental differences. Further, the findings provide additional support for the importance of interference suppression as a mechanism underlying the bilingual advantage.     

Differences in encoding for free recall vs. recognition

Three experiments examined effects of test expectancy on memory for relatively unrelated words. In Experiment I, where preliminary recall or recognition practice was given, both recall and recognition were superior when the subjects expected and had practiced for recall. Free study led to better recall and recognition than paced presentation, but did not interact with test expectancy. Experiment II demonstrated that recall was better for subjects expecting a recall vs. a recognition test in the absence of preliminary practice. In Experiment III all subjects practiced both recall and recognition prior to presentation of the critical list. Study time also was varied. With longer study, recall was better when a recall test was expected, with no test expectancy effect on recognition. There were no appreciable expectancy effects with the short study period. Self-reports and other data suggested that the critical encoding differences produced by test expectancy manipulation were quantitative in nature.     

Visual vs. verbal stimulus set in a letter-classification task

In three experiments, subjects classified briefly presented letters as belonging to either the first or the second half of the alphabet. Prior to each target letter, the subjects were given either a verbally named letter (verbal set), a letter presented visually for 3 sec (visual set), or no prior alternative (control). The target was equally likely to be the same as the prior alternative (same trials) or from the opposite half of the alphabet (different trials). Classification accuracy was always greater for visual set than for the control condition. Verbal-set accuracy was no better than control accuracy when the verbal alternative immediately preceded the target but was equal to visual-set accuracy when the alternative preceded the target by 3 sec. In both set conditions, subjects tended to choose the same half of the alphabet as the prior alternative. It was concluded that type and timing of prior alternatives are important variables in accounting for enhanced classification accuracy.     

Interaural time vs. interaural intensity in a lateralization paradigm

In a two-interval lateralization procedure, observers judged whether a stimulus presented with an interaural intensive difference was right or left in lateral space of the same stimulus presented with only an interaural temporal difference. The stimuli were pure tones of 500 and 1,000 Hz and 1,000-Hz low-pass noise. All stimuli were presented at both 65 and 55 dB SPL. For each of several values of interaural time (ranging from 0 to 1,000 microsec across all stimuli), a function was determined which related proportion of “right” relative position judgments to the value of the interaural intensive difference. The intercepts of these functions indicated that a progressively smaller amount of interaural intensive difference was required for the two stimuli to occupy a similar lateral location as the interaural temporal difference was increased. The slopes of the function suggested that the images associated with larger values of the interaural temporal differences are less distinct and blend together more than the images associated with small values of the temporal difference. Thus, the procedure provided a means for comparing the lateral location of images produced by interaural differences of time and intensity.