Rule following and rule use in the balance-scale task

Quinlan et al. [Quinlan, p., van der Mass, H., Jansen, B., Booij, O., & Rendell, M. (this issue). Re-thinking stages of cognitive development: An appraisal of connectionist models of the balance scale task. Cognition, doi:10.1016/j.cognition.2006.02.004] use Latent Class Analysis (LCA) to criticize a connectionist model of development on the balance-scale task, arguing that LCA shows that this model fails to capture a torque rule and exhibits rules that children do not. In this rejoinder we focus on the latter problem, noting the tendency of LCA to find small, unreliable, and difficult-to-interpret classes. This tendency is documented in network and synthetic simulations and in psychological research, and statistical reasons for finding such unreliable classes are discussed. We recommend that LCA should be used with care, and argue that its small and unreliable classes should be discounted. Further, we note that a preoccupation with diagnosing rules ignores important phenomena that rules do not account for. Finally, we conjecture that simple extensions of the network model should be able to achieve torque-rule performance.     

Identifying similarities in cognitive subtest functional requirements: An empirical approach

In the cognitive test interpretation literature, a Rational/Intuitive, Indirect Empirical, or Combined approach is typically used to construct conceptual taxonomies of the functional (behavioral) similarities between subtests. To address shortcomings of these approaches, the functional requirements for 49 subtests from six individually administered scales of cognitive ability (WISC-IV, WPPSI-III, SB-V, WJ-III, CAS, and UNIT) were typed on index cards. Forty-eight (48) in-service and/or pre-service school psychologists were asked to sort the cards into two, three, five, or eight functionally similar piles. A multidimensional scaling analysis was performed on a 49 × 49 matrix of similarity scores collapsed across all 48 subjects. Three dimensions were extracted from the data: Reproduction of Stimuli Sequences versus Picture Viewing (Dimension 1), Timed Speed versus Untimed Power (Dimension 2), and Verbal versus Performance (Dimension 3). A hierarchical clustering procedure was then applied to the matrix data, and results were compared to previous categorization schemes identified in the test interpretation literature.     

Disorders in planning and strategy application in frontal lobe lesion patients

The aim of this study was to investigate deficits in planning ability using an adapted version of the Modified Six Elements Test, from the Behavioral Assessment of the Dysexecutive Syndrome—BADS [Wilson, B. A., Alderman, N., Burgess, P. W., Emslie, H., & Evans, J. J. (1996). Behavioural Assessment of the Dysexecutive Syndrome (BADS). Bury St Edmunds, U.K.: Thames Valley Test Company. Trans. Ricardo O Souza, Sergio L Schmidt. Rio de Janeiro: Cognição]. Subjects were left- and right-frontal lobe lesion patients. Other measures of executive dysfunctions used were verbal fluency, the Wisconsin Card Sorting Test, and the Trail Making Test. These other instruments were sensitive to detect executive deficits in the left frontal lobe lesion group, except the Wisconsin Card Sorting Test, which showed impairment only for the frontal lobe lesion group as a whole. The Modified Six Elements Test detected planning disorders in left frontal lobe lesion patients. The deficit of these patients was due to a greater likelihood to break the rules of the task, that is, in plan-following processes, rather than in planning the strategic approach to solve it.     

Perfectionism and exam performance: The mediating effect of task-approach goals

Perfectionistic strivings are positively correlated with students’ achievement goals and exam performance. However, so far no study has employed a prospective design investigating whether achievement goals mediate the positive relationship between perfectionistic strivings and exam performance. In the present study, 100 university students completed a measure of self-oriented perfectionism and socially prescribed perfectionism (Hewitt & Flett, 1991) and received a chapter from a textbook to study for 2–4 days. Then they returned to the lab to complete a measure of achievement goals following the 3 × 2 model (Elliot, Murayama, & Pekrun, 2011) and sit a mock exam testing their knowledge of the chapter. Multiple regressions showed that socially prescribed perfectionism negatively predicted exam performance when the overlap with self-oriented perfectionism was controlled for. In contrast, self-oriented perfectionism—a defining indicator of perfectionistic strivings—positively predicted exam performance. Moreover, task-approach goals mediated the positive relationship between self-oriented perfectionism and exam performance. The findings suggest that perfectionistic strivings make students adopt task-approach goals that help them achieve better results on exams.     

Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models

Using an empirical data set, we investigated variation in factor model parameters across a continuous moderator variable and demonstrated three modeling approaches: multiple-group mean and covariance structure (MGMCS) analyses, local structural equation modeling (LSEM), and moderated factor analysis (MFA). We focused on how to study variation in factor model parameters as a function of continuous variables such as age, socioeconomic status, ability levels, acculturation, and so forth. Specifically, we formalized the LSEM approach in detail as compared with previous work and investigated its statistical properties with an analytical derivation and a simulation study. We also provide code for the easy implementation of LSEM. The illustration of methods was based on cross-sectional cognitive ability data from individuals ranging in age from 4 to 23 years. Variations in factor loadings across age were examined with regard to the age differentiation hypothesis. LSEM and MFA converged with respect to the conclusions. When there was a broad age range within groups and varying relations between the indicator variables and the common factor across age, MGMCS produced distorted parameter estimates. We discuss the pros of LSEM compared with MFA and recommend using the two tools as complementary approaches for investigating moderation in factor model parameters.     

Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding

Judging goodness of fit in multidimensional scaling requires a comprehensive set of diagnostic tools instead of relying on stress rules of thumb. This article elaborates on corresponding strategies and gives practical guidelines for researchers to obtain a clear picture of the goodness of fit of a solution. Special emphasis will be placed on the use of permutation tests. The second part of the article focuses on goodness-of-fit assessment of an important variant of multidimensional scaling called unfolding, which can be applied to a broad range of psychological data settings. Two real-life data sets are presented in order to walk the reader through the entire set of diagnostic measures, tests, and plots. R code is provided as supplementary information that makes the whole goodness-of-fit assessment workflow, as presented in this article, fully reproducible.     

人际同步性现象：探索心理咨询过程中同盟关系的新视角

人际同步性是指两个或两个以上的人的言语特点、行为表现、生理指标以及神经生理活动在时间上出现重合的现象, 得益于近10年内技术上的突破, 研究者开始对心理咨询领域的人际同步现象进行初步的探索, 试图从该视角揭示心理咨询过程中咨访双方的互动模式和同盟建立的内在机制。近期研究主要关注非言语同步、生理同步、人际脑同步与同盟及其影响因素之间的关系, 并针对它们各自对同盟的作用机制发展出了相应的理论。未来的研究者可以更多地关注同盟动态变化过程中的人际同步性, 发展整合理论来回应同盟建立的内在机制, 并在临床应用上促进具有人际同步性的心理咨询互动过程。     

Fear of Death and Supernatural Beliefs: Developing a New Supernatural Belief Scale to Test the Relationship

Fear of death features in both historical and contemporary theories of religion, but the relationship between death anxiety and religious belief is still ambiguous, largely due to the use of inappropriate or imprecise measures. The current studies therefore aimed to develop a valid, targeted measure of respondents' tendency towards religious belief, the ‘Supernatural Belief Scale’ (SBS), and to use the SBS to examine the relation between death anxiety and religious belief. Results indicate that the SBS shows high reliability and convergent validity and that its relation to death anxiety depends on participants' religious identification: ‘religious’ participants fear death less the stronger their religious beliefs, whereas ‘non‐religious’ participants are more inclined towards religious belief the more they fear death. These studies contribute a new measurement tool for research on religious belief and provide a starting point for an experimental integration of discrepant research findings. Copyright © 2013 European Association of Personality Psychology     

Convergent,Discriminant, and Incremental Validity of the Pictorial Attitude Implicit Association Test and the Picture Story Exercise as Measures of the Implicit Power Motive

The Pictorial Attitude Implicit Association Test (PA‐IAT) has recently been proposed as new measure of implicit motives. We report a study that provides the first evidence for the convergent validity of the PA‐IAT by showing that the PA‐IAT correlates significantly with a standard measure of implicit motives [i.e. the Picture Story Exercise (PSE)]. Discriminant validity of the PA‐IAT was verified in the sense that the PA‐IAT shared virtually no common variance with explicit motive measures. Our analyses revealed that the PA‐IAT and PSE can best be conceived as related but distinct measures. We further showed that the PA‐IAT had incremental validity in predicting performance on a memory recall task over and above the PSE. In general, our results confirm that the PA‐IAT is a valid measure of implicit motives and can serve as valid alternative to the PSE. Copyright © 2012 John Wiley & Sons, Ltd.     

Mariano Yela: aportaciones metodológicas en Psicología

Resumen

El trabajo comenta la formación académica y la actividad docente e investigadora del profesor Mariano Yela en el campo de la metodología de las ciencias del comportamiento. Se comentan especialmente sus aportaciones al análisis factorial y a la elaboración de tests.