执行意向对目标达成的促进及其作用过程

执行意向,也被称为“如果—那么”计划,是指将一个预期的情境与一个确定的目标定向行为联系起来,明确说明了个体在什么时间、地点以及如何追求一个特定目标的计划.大量的实验室和现场实验研究发现,执行意向能有效促进目标的达成.执行意向中“如果”成分使得预期情境线索的心理表征高度激活;而“那么”成分使得计划中的反应得以自动实施.这两个假设的认知过程已被证实,并且在执行意向影响目标达成过程中起到中介作用.在未来的研究中除了将其与动机理论进行整合以及更深入地去探讨其心理机制之外,还要积极进行本土化的实证研究.     

Self-esteem and higher-order factors of personality: A reply to Simsek

Simsek (2012) argued that earlier research by Erdle and colleagues on the relationship between self-esteem and higher-order factors of personality used “poor statistical methodology”, that “their results may be untenable”, and that the results of his “high-level data analysis” are “the first to show the importance of self-esteem in the differentiation between stability and plasticity”. In this rejoinder, it is argued that the statistical methodology used by Erdle and colleagues demonstrated the effect of controlling self-esteem on the relationship between stability and plasticity earlier and more accurately than that used by Simsek (2012). Moreover, it is argued that self-esteem might not be a biasing factor, but instead might be a theoretically expected substantive correlate of the Big Five and of higher-order factors of personality. Finally, it is argued that a hierarchical structure of personality, with a general factor of personality (GFP) at the apex, might have a neurological basis in the activity of the prefrontal cortices.     

Flexible spatial mapping of different notations of numbers in Chinese readers

The spatial component of numerical and ordinal information has been explored in previous research. However, how such mapping emerges and how it is affected by the learning experience are issues still under debate. In the current study, we examined the orientation of the mental number line for different numerical notations (e.g., “1”, “—-”, “”) in Chinese readers. Our data demonstrated that Arabic numbers are mentally aligned horizontally with a left-to-right directionality, while Chinese number words are aligned vertically with a top-to-bottom directionality. These findings indicate that different notations of the same concept have flexible mappings within space, which is plausibly shaped by the dominant context in which the numerical notations appear.     

Symmetry, direct measurement, and Torgerson's conjecture

Two forms of direct measurement are considered in the article: a strong form in which ratio productions named by number words are interpreted veridically as the numerical ratios they name; and a weak form in which the ratio productions named by number words may have interpretations as ratios that are different from numerical ratios they name. Both forms assume that the responses to instructions to produce ratios are represented numerically by ratios, and thus the word “ratio”—and supposedly the participants concept associated with it—is being “directly” represented. The strong form additionally “directly represents” the number mentioned in the instruction by itself. The article provides an axiomatic theory for the numerical representations produced by both forms. This theory eliminates the need for assuming anything is being “directly represented,” allowing for a purely behavioral approach to ratio production data. It isolates two critical axioms for empirical testing. An measurement-theoretic explanation is provided for the puzzling empirical phenomenon that subjects do not distinguish between ratios and differences in a variety of direct measurement tasks.     

TMS to the “occipital face area” affects recognition but not categorization of faces

The human cortical system for face perception is comprised of a network of connected regions including the middle fusiform gyrus (“fusiform face area” or FFA), the inferior occipital cortex (“occipital face area” or OFA), and the superior temporal sulcus. The traditional hierarchical feedforward model of visual processing suggests information flows from early visual cortex to the OFA for initial face feature analysis to higher order regions including the FFA for identity recognition. However, patient data suggest an alternative model. Patients with acquired prosopagnosia, an inability to visually recognize faces, have been documented with lesions to the OFA but who nevertheless show face-selective activation in the FFA. Moreover, their ability to categorize faces remains intact. This suggests that the FFA is not solely responsible for face recognition and the network is not strictly hierarchical, but may be organized in a reverse hierarchical fashion. We used transcranial magnetic stimulation (TMS) to temporarily disrupt processing in the OFA in neurologically-intact individuals and found participants’ ability to categorize intact versus scrambled faces was unaffected, however face identity discrimination was significantly impaired. This suggests that face categorization but not recognition can occur without the “earlier” OFA being online and indicates that “lower level” face category processing may be assumed by other intact face network regions such as the FFA. These results are consistent with the patient data and support a non-hierarchical, global-to-local model with re-entrant connections between the OFA and other face processing areas.     

Sick? Or slow? On the origins of intelligence as a psychological object

This paper examines the first moments of the emergence of “psychometrics” as a discipline, using a history of the Binet–Simon test (precursor to the Stanford–Binet) to engage the question of how intelligence became a “psychological object.” To begin to answer this, we used a previously-unexamined set of French texts to highlight the negotiations and collaborations that led Alfred Binet (1857–1911) to identify “mental testing” as a research area worth pursuing. This included a long-standing rivalry with Désiré-Magloire Bourneville (1840–1909), who argued for decades that psychiatrists ought to be the professional arbiters of which children would be removed from the standard curriculum and referred to special education classes in asylums. In contrast, Binet sought to keep children in schools and conceived of a way for psychologists to do this. Supported by the Société libre de l'étude psychologique de l'enfant [Free society for the psychological study of the child], and by a number of collaborators and friends, he thus undertook to create a “metric” scale of intelligence—and the associated testing apparatus—to legitimize the role of psychologists in a to-that-point psychiatric domain: identifying and treating “the abnormal”. The result was a change in the earlier law requiring all healthy French children to attend school, between the ages of 6 and 13, to recognize instead that otherwise normal children sometimes need special help: they are “slow” (arriéré), but not “sick.” This conceptualization of intelligence was then carried forward, through the test's influence on Lewis Terman (1877–1956) and Lightner Witmer (1867–1956), to shape virtually all subsequent thinking about intelligence testing and its role in society.     

Three ideal observer models for rule learning in simple languages

Children learning the inflections of their native language show the ability to generalize beyond the perceptual particulars of the examples they are exposed to. The phenomenon of “rule learning”—quick learning of abstract regularities from exposure to a limited set of stimuli—has become an important model system for understanding generalization in infancy. Experiments with adults and children have revealed differences in performance across domains and types of rules. To understand the representational and inferential assumptions necessary to capture this broad set of results, we introduce three ideal observer models for rule learning. Each model builds on the next, allowing us to test the consequences of individual assumptions. Model 1 learns a single rule, Model 2 learns a single rule from noisy input, and Model 3 learns multiple rules from noisy input. These models capture a wide range of experimental results—including several that have been used to argue for domain-specificity or limits on the kinds of generalizations learners can make—suggesting that these ideal observers may be a useful baseline for future work on rule learning.     

A tutorial on Bayes factor estimation with the product space method

The Bayes factor is an intuitive and principled model selection tool from Bayesian statistics. The Bayes factor quantifies the relative likelihood of the observed data under two competing models, and as such, it measures the evidence that the data provides for one model versus the other. Unfortunately, computation of the Bayes factor often requires sampling-based procedures that are not trivial to implement. In this tutorial, we explain and illustrate the use of one such procedure, known as the product space method (Carlin & Chib, 1995). This is a transdimensional Markov chain Monte Carlo method requiring the construction of a “supermodel” encompassing the models under consideration. A model index measures the proportion of times that either model is visited to account for the observed data. This proportion can then be transformed to yield a Bayes factor. We discuss the theory behind the product space method and illustrate, by means of applied examples from psychological research, how the method can be implemented in practice.     

Reducing the Effects of Stereotype Threat on African American College Students by Shaping Theories of Intelligence

African American college students tend to obtain lower grades than their White counterparts, even when they enter college with equivalent test scores. Past research suggests that negative stereotypes impugning Black students' intellectual abilities play a role in this underperformance. Awareness of these stereotypes can psychologically threaten African Americans, a phenomenon known as “stereotype threat” (Steele & Aronson, 1995), which can in turn provoke responses that impair both academic performance and psychological engagement with academics. An experiment was performed to test a method of helping students resist these responses to stereotype threat. Specifically, students in the experimental condition of the experiment were encouraged to see intelligence—the object of the stereotype—as a malleable rather than fixed capacity. This mind-set was predicted to make students' performances less vulnerable to stereotype threat and help them maintain their psychological engagement with academics, both of which could help boost their college grades. Results were consistent with predictions. The African American students (and, to some degree, the White students) encouraged to view intelligence as malleable reported greater enjoyment of the academic process, greater academic engagement, and obtained higher grade point averages than their counterparts in two control groups.     

Interpreting Self-Directed Search profiles: Validity of the “Rule of Eight”

Based on the standard error of measurement, Holland (1985) suggested the “rule of eight” for determining the meaningfulness of differences between two summary scores on the Self Directed Search. The present study empirically examined the rule's validity for practice. The participants were 2397 (1497 females and 900 males) undergraduate students enrolled in the exploratory major at a large Midwestern university. The results strongly supported the interpretive rule of eight. For those participants who scored a primary-code distinction of eight or more points, the hit rate was 55% with a kappa of .38. This compared to a hit rate of 40% with a kappa of .21 for those participants with less than eight-point distinction between their top two scores. The authors also discuss the practical implications for interpreting SDS results using the “rule of eight.”     

Hans Penner, Horatio and the Terminator: a review essay of Radical Interpretation in Religion

Adaptations of Donald Davidson’s meta-methodology of “radical interpretation” by Hans Penner and colleagues create more problems than they solve. Penner’s affirmation of both holistic and naturalistic approaches to the study of religion ring true. But, making the inclusion of ‘superhuman beings’—those “that do things you and I cannot do”—sufficient to the definition of religion. It is alternately counterfactual (Theravada, Chan or Zen Buddhism, Confucianism, Jainism and others), or not restrictive enough (does every such being qualify? viz. Schwarzenegger’s Terminator?), or logically ‘uninteresting’—is reference to superhuman beings alone what makes a discourse religious, or is it their being ‘worshipful’?     

What counts as “good” quantitative research and what can we say about when to use quantitative and/or qualitative methods?

In response to points raised by Dawson, Fischer, and Stein; Stam; and Stiles, the author delineates what counts as “good” quantitative research according to his proposal for explicitly interpretive quantitative methods. The key points concern how to employ these methods, not which quantitative methods we should use—“strong” rather than “soft” or vice versa. The author discusses ways in which what others would consider “strong” quantitative procedures can be extremely useful, although he argues that these procedures are interpretive. The reconceptualization of quantitative research offered here also suggests that the distinction between quantitative and qualitative research is much less fundamental than most researchers think. In a consideration of what we can say in general about when to employ quantitative and/or qualitative methods, the author returns to the theme of the limits of possible understanding in psychology.     

When global structure "Explains Away" local grammar: a Bayesian account of rule-induction in tone sequences

While many constraints on learning must be relatively experience-independent, past experience provides a rich source of guidance for subsequent learning. Discovering structure in some domain can inform a learner’s future hypotheses about that domain. If a general property accounts for particular sub-patterns, a rational learner should not stipulate separate explanations for each detail without additional evidence, as the general structure has “explained away” the original evidence. In a grammar-learning experiment using tone sequences, manipulating learners’ prior exposure to a tone environment affects their sensitivity to the grammar-defining feature, in this case consecutive repeated tones. Grammar-learning performance is worse if context melodies are “smooth” — when small intervals occur more than large ones — as Smoothness is a general property accounting for a high rate of repetition. We present an idealized Bayesian model as a “best case” benchmark for learning repetition grammars. When context melodies are Smooth, the model places greater weight on the small-interval constraint, and does not learn the repetition rule as well as when context melodies are not Smooth, paralleling the human learners. These findings support an account of abstract grammar-induction in which learners rationally assess the statistical evidence for underlying structure based on a generative model of the environment.     

The embodied cognition theory and the motor component of “yes” and “no” verbal responses

Most of the experiments which give theories of embodied cognition their empirical anchorage only take into consideration the motor responses induced by the task or the motor component of the visual stimulus. And yet, these motor responses are often associated with a linguistic answer. Our hypothesis is that “YES” and “NO” verbal responses have a motor component. In a first experiment we showed that producing a verbal response (YES vs. NO) involves motor planning (pushing vs. pulling): participants push a lever more quickly when they have to answer “yes” than “no”, and conversely, they pull a lever more quickly when they have to answer “no” than “yes”. Moreover, in a second experiment, we showed that perceiving the words “YES” and “NO”, on its own, leads to the same motor planning than when “yes” and “no” answers actually have to be produced. Participants detect the word “YES” faster when they have to push a lever than when they have to pull it and conversely they detect the word “NO” faster when they have to pull the lever than when they have to push it down. These results are discussed in reference to “online” and “offline embodiment” concepts and to the cognitive linguistic theories.     

The Relation of ERP Components to Complex Memory Processing

The relation between various ERP components generated during encoding of a word and its subsequent recall were investigated using a “rote” serial-order and an “elaborative” category memory task. Words (flashed separately) were time-locked to EEG recordings from 21 cortical sites. ERP components from the five subjects having the highest recall scores were compared to the five lowest scoring subjects. Results based on the P200 peak amplitude data as well as the N400 and late positive component peak amplitude and latency data suggest that anterior and posterior distributional differences are elicited during encoding of words for rote and elaborative memory tasks. Furthermore, strong individual differences in these patterns were found as a function of task. A tentative argument was made that the obtained anterior and posterior differences may index different word feature selection and encoding processes, which are differentially utilized by high and low recallers.     

The square root method and multiple group methods of factor analysis

The square root method for the solution of a set of simultaneous linear equations or the reduction of a matrix has been known for some time under a variety of names. Because of its usefulness in statistical work, especially in factor analysis, the square root method is presented in general terms and an example given. Several independently developed multiple group methods for factor analysis are compared and synthesized. Their fundamental concepts are set forth and an appropriate system of notation developed. Detailed computational procedures are outlined, and the square root method is emphasized as a computing aid in multiple group analysis.The opinions expressed in this paper are those of the author and do not necessarily reflect official Department of the Army policy. The author is now with The RAND Corporation, Santa Monica, Calif.     

Varieties of sameness: the impact of relational complexity on perceptual comparisons

The fundamental relations that underlie cognitive comparisons—“same” and “different”—can be defined at multiple levels of abstraction, which vary in relational complexity. We compared response times to decide whether or not two sequentially-presented patterns, each composed of two pairs of colored squares, were the same at three levels of abstraction: perceptual, relational, and system (higher order relations). For both 150 ms and 5 s inter-stimulus intervals (ISIs), both with and without a masking stimulus, decision time increased with level of abstraction. Sameness at lower complexity levels contributed to decisions based on the higher levels. The pattern of comparison times across levels was not predictable solely from encoding times. The results indicated that relations at multiple levels of complexity can be abstracted and compared in working memory, with higher complexity levels requiring more processing time. We simulated the impact of relational complexity on response time using Learning and Inference with Schemas and Analogies (LISA), a computational model of relational comparisons based on dynamic binding of elements into roles in a relational working memory.     

Extended cognition and the space of social interaction

The extended mind thesis (EM) asserts that some cognitive processes are (partially) composed of actions consisting of the manipulation and exploitation of environmental structures. Might some processes at the root of social cognition have a similarly extended structure? In this paper, I argue that social cognition is fundamentally an interactive form of space management—the negotiation and management of “we-space”—and that some of the expressive actions involved in the negotiation and management of we-space (gesture, touch, facial and whole-body expressions) drive basic processes of interpersonal understanding and thus do genuine social-cognitive work. Social interaction is a kind of extended social cognition, driven and at least partially constituted by environmental (non-neural) scaffolding. Challenging the Theory of Mind paradigm, I draw upon research from gesture studies, developmental psychology, and work on Moebius Syndrome to support this thesis.     

The structure of vocational interests in Germany: Different methodologies, different conclusions

The cross-cultural generalizability of vocational interest structures has received significant attention in recent years. This article adds to this research in four respects. First, data from a context that has not previously been investigated (Germany) was analyzed. Second, students at different stages of their educational career were examined. Third, the interest structure in male and females was compared. Fourth, two methods—the randomization test of hypothesized order relations (RTOR) and confirmatory factor analysis (CFA)—were applied to three competing structural conceptions: Holland’s circular representation, Gati’s hierarchical model, and Rounds and Tracey’s alternative hierarchical model. RTOR supported all three representations, whereas CFA supported only Holland’s model. CFAs indicated that the interest structure is reasonably invariant between high school and university students, but that the configurations for high school females and males differ. Substantive and methodological implications are discussed.     

Distinct emotional abilities converge: Evidence from emotional understanding and emotion recognition through the voice

One key criterion for whether Emotional Intelligence (EI) truly fits the definition of “intelligence” is that individual branches of EI should converge. However, for performance tests that measure actual ability, such convergence has been elusive. Consistent with theoretical perspectives for intelligence, we approach this question using EI measures that have objective standards for right answers. Examining emotion recognition through the voice—that is, the ability to judge an actor’s intended portrayal—and emotional understanding—that is, the ability to understand relationships and transitions among emotions—we find substantial convergence, r = .53. Results provide new data to inform the often heated debate about the validity of EI, and further the basis of optimism that EI may truly be considered intelligence.