科学发明中原型启发的创造性思维成分及其脑机制

目前对创造性思维的测量及神经机制的研究, 国际上大多采用发散思维任务、远距离联想测验、顿悟问题解决等任务。但这些测量工具大多停留在对非科学类问题解决的研究上, 因此生态效度和预测效度都不高。本项目在前面研究的基础上, 探讨更符合现实生活的科学发明中原型启发的创造性思维成分及机制。研究一通过两个行为实验探索原型启发能力的创造性思维成分测试的结构效度; 研究二运用大样本磁共振数据, 从脑机制上进一步验证创造性思维成分的结构效度; 研究三通过3个核磁任务态探索原型启发能力的主要创造性思维成分的脑机制; 研究四试图在高校和企业研发机构进行跟踪研究, 检验创造性思维成分测试的预测效度。通过本项目的开展, 希望开发具有更高预测效度和生态效度的用于发明创造领域的创造性测量工具。     

Five Key Topics on the Frontier of Theology and Science Today

Abstract : This article explores the creative mutual interaction between Christian theology and the natural sciences through five key issues: (1) the relation between creation ex nihilo and Big Bang cosmology; (2) biological evolution and continuous creation; (3) the search for non‐interventionist objective divine action in light of physics and biology; (4) the problem of suffering in nature and with it the turn to redemption theology via the bodily Resurrection of Jesus; and (5) the challenge raised for its eschatological implications by scientific predictions for the future of the universe. The article concludes with a brief suggestion for the ways Christian theology, reformulated in light of these sciences, might offer creative suggestions for future scientific research, and, in doing so, complete the loop promised by the phrase “mutual creative interaction.”     

Explaining Context Effects on Choice Using a Model of Comparative Judgment

Context effects refer to the shifts in shares when another alternative is introduced in the choice set. The alternative can be asymmetrically dominated, asymmetrically dominating, totally dominated, or totally dominating. We developed a theoretically derived model based on the shifts in attribute valuation as a potential explanation for all context effects. First, the model is tested using data from previously published studies. As predicted, the results showed a high correlation between shifts in valuation and changes in the choice shares. The model is also tested using 2 studies that extend the design of the choice sets to include better alternatives in a search context and the removal of an alternative. The strong relation justifies the case for comparative valuation as an underlying mechanism for context effects. Assuming this valuation, the article illustrates how the framework can be used to develop new product strategies taking into account the values of the unchosen alternatives.     

Religious traditions as contexts of historical creativity: patterns of scientific and artistic achievement and their stability

Because fragmentary evidence linking outstanding intellectual achievement to Protestant and Jewish family background has left unclear how far any general relationship between religious background and historical creativity holds across arts and sciences, the relative fruitfulness of western religious traditions was explored by regression analysis on a data-base of nearly 1,400 notable 19th and 20th century achievers in six science-related and three arts domains.It was hypothesized that (1) religious traditions are each equipotential across countries, national totals of exceptional achievers in any domain depending simply on the numerical strength of each tradition; (2) Protestant fruitfulness is greater in the sciences, Catholic in the arts and (3) differences will have declined over time.The first two hypotheses were confirmed. More variance was explained by Protestant and Catholic totals separately than by overall population size and Protestant fractions were more productive in all sciences than Catholic, which fared better in the arts. However, no reduction was found in these differences over time. Jewish fractions showed the highest incidence of creativity, but less equipotentiality and no general arts–science difference.It is concluded that creativity in arts and sciences depends strongly on increasingly hidden cultural roots in western society.     

No commonality between attentional capture and attentional blink

Visual search for a unique target is impaired when a salient distractor is presented (attentional capture). This phenomenon is said to occur because attention is diverted to a distractor before it reaches the target. Similarly, perception of the second of two targets embedded in a rapid stream of nontargets is impaired, suggesting attentional deprivation due to the processing of the first target (attentional blink). We examined whether these phenomena emerge from a common underlying attentional mechanism by using correlation studies. If these phenomena share a common foundation, the magnitude of these deficits should show within-subject correlations. Participants (N?=?135) revealed significant attentional deficits during spatial and temporal capture and the attentional blink tasks. However, no significant correlation was found among these tasks. Experiment 2 (N?=?95) replicated this finding using the same procedure as that used in Experiment 1 but included another attentional blink task that required spatial switching between the two targets. Strong correlations emerged only between the two attentional blink tasks (with/without spatial switching). The present results suggest that attentional deficits during spatial and temporal capture and the attentional blink tasks reflect different aspects of attention.     

Manipulationism,Ceteris Paribus Laws,and the Bugbear of Background Knowledge

According to James Woodward’s manipulationism, to explain an event is to show how it could be changed by manipulating its cause. The relevant intervention must be a ‘serious possibility’, distinct from mere logical or physical possibility and approximating something I call ‘scientific possibility’. I argue that background knowledge is indispensable for judgements of scientific possibility and that ‘invariant’ generalisations, the primary vehicles of explanation in manipulationism, are not well adapted to encoding this often implicit knowledge, especially in the social sciences. A survey of key social scientific research methods (case and comparative studies, randomised control trials, ethnography, and structural equation modelling) shows that the output of these methods is generated by causal and non-causal background knowledge meshing in a way that is better encapsulated in an updated theory of ceteris paribus generalisations.     

What Invariance Is and How to Test for It

Causal assessment is the problem of establishing whether a relation between (variable) X and (variable) Y is causal. This problem, to be sure, is widespread across the sciences. According to accredited positions in the philosophy of causality and in social science methodology, invariance under intervention provides the most reliable test to decide whether X causes Y. This account of invariance (under intervention) has been criticised, among other reasons, because it makes manipulations on the putative causal factor fundamental for the causal methodology; consequently, the argument goes, the account is ill-suited to those contexts where manipulations are not performed, for instance, the social sciences. The article aims to extend the account of invariance (under intervention), in a way that manipulations on the putative causal factors are not methodologically fundamental, and yet invariance remains key for causal assessment both in experimental and non-experimental contexts.     

Perspective-taking and depth of theory-of-mind reasoning in sequential-move games

Theory-of-mind (ToM) involves modeling an individual's mental states to plan one's action and to anticipate others' actions through recursive reasoning that may be myopic (with limited recursion) or predictive (with full recursion). ToM recursion was examined using a series of two-player, sequential-move matrix games with a maximum of three steps. Participants were assigned the role of Player I, controlling the initial and the last step, or of Player II, controlling the second step. Appropriate for the assigned role, participants either anticipated or planned Player II's strategy at the second step, and then determined Player I's optimal strategy at the first step. Participants more readily used predictive reasoning as Player II (i.e., planning one's own move) than as Player I (i.e., anticipating an opponent's move), although they did not differ when translating reasoning outcome about the second step to optimal action in the first step. Perspective-taking influenced likelihood of predictive reasoning, but it did not affect the rate at which participants acquired it during the experimental block. We conclude that the depth of ToM recursion (related to perspective-taking mechanisms) and rational application of belief-desire to action (instrumental rationality) constitute separate cognitive processes in ToM reasoning.     

Examining the Three-Step Theory (3ST) of Suicide in a Prospective Study of Adult Psychiatric Inpatients

This study examined the validity and predictive utility of the three-step theory (3ST) of suicide in psychiatric patients. Participants were 190 consecutively admitted adult psychiatric inpatients (53% female, 60% White, ages 18–73) assessed at three time points: baseline, 4 weeks later (n = 112), and 3 months postdischarge (n = 102). Results were broadly supportive of the 3ST. First, at baseline, an interactive model of pain and hopelessness accounted for substantial variability in suicidal desire, even when controlling for depression and lifetime ideation. This result replicated in different genders and age ranges (i.e., 18–32 and 33–73). Further, pain and hopelessness were robust predictors of suicidal desire weeks and months into the future. Second, among those with pain and hopelessness, lower connectedness, as well as the extent to which pain exceeds connectedness, were robust predictors of higher suicidal desire. Last, a baseline measure of practical capability for suicide predicted suicide attempts both retrospectively and prospectively, even when controlling for lifetime ideation—however, dispositional and acquired contributors to capability were less predictive. Results support the validity and predictive utility of the 3ST, and suggest that the theory may have utility for guiding risk assessment and intervention.     

Psychological correlates of university students' academic performance: a systematic review and meta-analysis

A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across research domains. A systematic search of PsycINFO and Web of Knowledge databases between 1997 and 2010 identified 7,167 English-language articles yielding 241 data sets, which reported on 50 conceptually distinct correlates of GPA, including 3 demographic factors and 5 traditional measures of cognitive capacity or prior academic performance. In addition, 42 non-intellective constructs were identified from 5 conceptually overlapping but distinct research domains: (a) personality traits, (b) motivational factors, (c) self-regulatory learning strategies, (d) students' approaches to learning, and (e) psychosocial contextual influences. We retrieved 1,105 independent correlations and analyzed data using hypothesis-driven, random-effects meta-analyses. Significant average, weighted correlations were found for 41 of 50 measures. Univariate analyses revealed that demographic and psychosocial contextual factors generated, at best, small correlations with GPA. Medium-sized correlations were observed for high school GPA, SAT, ACT, and A level scores. Three non-intellective constructs also showed medium-sized correlations with GPA: academic self-efficacy, grade goal, and effort regulation. A large correlation was observed for performance self-efficacy, which was the strongest correlate (of 50 measures) followed by high school GPA, ACT, and grade goal. Implications for future research, student assessment, and intervention design are discussed.     

Prior beliefs and methodological concepts in scientific reasoning

This investigation focuses on the relations between prior beliefs, methodological concepts, and college students' (N=211) scientific reasoning in different problem contexts. Participants were presented with exercises that described the method and results of experiments, and were asked to draw conclusions about the causal status of variables that violated their prior beliefs. Participants drew conclusions in both abstract (i.e. recommend a conclusion for the fictional experimenter), and personal settings (i.e. draw their own conclusions about the phenomenon). Participants' recommendations for the hypothetical experimenter were predicted by their understanding of two methodological concepts: the function of empirical evidence and experimental control. Students' personal conclusions were predicted by their prior beliefs and their appreciation of the objectivity of inquiry. Thus, even when students understand in the abstract how data should relate to scientific conclusions, prior beliefs often take precedence in their own conclusions, especially when they do not understand the issue of objectivity. Copyright © 2004 John Wiley & Sons, Ltd.     

Association rule learning in neuropsychological data analysis for Alzheimer’s disease

Efficient methods of analysis readily available for clinicians continue to be limited within neuropsychological assessment at the raw data level. Here, a novel approach for generating predictive response patterns and analysing neuropsychological raw data is offered. In order to assess the usefulness of association rule learning as an analysis tool for neuropsychological raw data, Frequent Pattern Growth (FP-Growth) was used to mine patterns from the Consortium to Establish a Registry for Alzheimer’s Disease Neuropsychological Battery (CERAD-NB) database. Complete assessment data for 84 post-mortem confirmed Alzheimer’s disease (AD) cases and 294 age, race, and education matched controls were analysed across baseline and one-year follow-up using FP-Growth, for the purpose of assessing the clinical utility of a finer analysis at the raw data level and the feasibility of predicting response patterns for clinical/control groups. Output from FP-Growth, in terms of the number of frequent itemsets retained across both evaluation timepoints, was discernable between controls, mild, and moderate to severe Alzheimer’s disease cases (p < .001, and η² = .488). Patterns within raw data scores, both in terms of frequent itemsets and predictive association rules, appear to be differentiable across groups within neuropsychological analysis, which indicates that FP-Growth is applicable as a supplementary analysis tool for neuropsychological assessment by means of offering an additional level of data analysis, predictive item response capabilities, and aiding in clinical decision making.     

Effects of cultural background on WAIS‐III and WMS‐III performances after moderate‐severe traumatic brain injury

The assessment of cognitive function in individuals of culturally and linguistically diverse background poses considerable challenges for the psychologist, particularly when English proficiency is limited. This study explored the effects of diverse cultural background and non‐Western educational background on Wechsler Adult Intelligence Scale‐Third edition (WAIS‐III) and Wechsler Memory Scale‐Third Edition (WMS‐III) performances in moderate‐severe traumatic brain injury within an outpatient rehabilitation setting. Participants were aged 16–65 years and met careful selection criteria. IQ, index and age‐scaled subtest scores were compared across three groups: (a) English‐speaking background (n = 130), (b) culturally and linguistically diverse background and education completed in English (n = 33), and (c) culturally and linguistically diverse background and non‐English education (n = 33). Cultural backgrounds included people of Asian, European, Middle Eastern, African and Oceania origin. Results were that the English‐educated culturally and linguistically diverse group performed lower than the English‐speaking background group on some verbal WAIS‐III measures; effect sizes were small‐moderate. The non‐English‐educated culturally and linguistically diverse group performed lower than both groups on several WAIS‐III and one WMS‐III measure, with large effect sizes. Clinical implications included the need for caution in interpreting test scores to avoid diagnostic errors and the need for further development of valid assessment tools.     

Inferring correlations: From exemplars to categories

Research and theorizing suggest a processing advantage of category-level correlations over exemplar-level correlations. That research has also shown that category-level correlations serve as a proxy for inferring exemplar-level correlations. For example, an individual may learn that the demand for a product category, like cheese, in one store predicts the demand for this category in another. The individual could then draw the unwarranted conclusion that the demand for an exemplar, like cheddar, would also predict the demand for this exemplar in the other store. This notion is supported by previous experiments demonstrating that the subjective exemplar-level correlation follows the implication of the category-level correlation. However, in virtually all previous experiments suggesting a processing advantage for category-level over exemplar-level correlations, the stimulus correlation at the category level was substantial, whereas the correlation at the exemplar level was weak. Here, we tested the hypothesis that individuals process the level that is most informative, either the exemplar or the category level. We presented participants with a zero correlation at the category level, but varied the correlation at the exemplar level. Participants presented with a zero correlation across exemplar products correctly reproduced a zero correlation across product categories. When presented with a substantial correlation at the exemplar level, however, they erroneously reproduced a similar correlation at the category level. These findings therefore imply that there is no general processing advantage for correlations at higher aggregation levels. Instead, individuals seemingly attend to the level that holds the most regular information. Findings are discussed regarding the role of covariation strength in correlation detection and use.     

Personality-performance correlations at work: Individual and aggregate levels of analyses

In the occupational community, there is a widespread faith in the utility of personality assessment for selection, development, etc. This faith has been immune to arguments, supported by empirical evidence, regarding the poor correlation between personality and performance in the workplace (these correlations rarely exceed the 0.2–0.3 level). The difference between perception of utility and the actual empirical reality is large. We investigated one possible source of this perceived-actual discrepancy. In two separate samples, we compared the magnitude of validity coefficients from individual and aggregate (i.e. organizational) levels. Our results indicated that strong actual personality-performance correlations exist at the aggregate level of analysis, but not at the individual level of analysis. We suggest that this aggregate-individual correlation discrepancy may, in part at least, account for the perceived-actual discrepancy noted above. We conclude that the continued faith in personality testing in the workplace may be a consequence of test users' sensitivity to actual aggregate level personality-performance correlations. However, we warn of the danger of drawing inferences from aggregate level correlations when making decisions about individuals, and point out the statistical artefacts that may account for some of the magnitude increase in aggregate level correlations. Several foci for further research are indicated.     

Use of the Personality Assessment Inventory in Assessment of Posttraumatic Stress Disorder in Women

This study investigated the utility of the Personality Assessment Inventory (PAI) for the assessment of posttraumatic stress disorder (PTSD). Participants were 55 community-residing adult women who were administered a comprehensive battery that included the PAI and the Clinician-Administered PTSD Scale (CAPS). Participants were classified as either PTSD or non-PTSD based on the CAPS, and PAI profiles were compared between the two groups. Significant group differences were found for seven PAI clinical scales (Anxiety, Depression, Anxiety-Related Disorders, Somatic Complaints, Paranoia, Borderline Features, and Schizophrenia), one validity scale (Negative Impression), and two treatment scales (Nonsupport and Treatment Rejection). When all PAI scales and component subscales are considered, the largest group differences were found for the physiological subscale of the Depression scale (DEP-P) and the Traumatic Stress subscale of the Anxiety-Related Disorders scale (ARD-T). ARD-T and DEP-P also demonstrated excellent diagnostic utility. Finally, correlations between PAI scales and four CAPS symptom clusters provided additional validity evidence, in particular supporting a distinction between effortful avoidance and numbing. Taken together, these results support the use of the PAI in the assessment of PTSD.This study was the basis of a Masters thesis for Meghan McDevitt-Murphy. Portions of this study were presented at the annual meeting of the Association for Advancement of Behavior Therapy, November 2000.     

Predictive validity of the overvalued ideas scale: outcome in obsessive-compulsive and body dysmorphic disorders

Overvalued ideas have been theoretically implicated in treatment failure for obsessive-compulsive disorder (OCD). Until recently, there have not been valid assessments for determining severity of overvalued ideas. One recent scale, the Overvalued Ideas Scale (OVIS; Neziroglu, McKay, Yaryura-Tobias, Stevens & Todaro, 1999, Behaviour Research and Therapy, 37, 881-902) has been found to validly measure overvalued ideas. However, its predictive utility has not been determined. Two studies were conducted to examine the extent to which the OVIS predicts treatment response. Study 1 examined the response to behavioral therapy in a group of participants diagnosed with OCD. Residual gain scores showed a significant correlation between treatment outcome for compulsions and pretreatment OVIS scores (28.1% variance accounted). Pretreatment OVIS scores were not significantly correlated with residual gains in obsessions (1.7% variance accounted). The predictive utility of the OVIS was superior to a single item assessment of overvalued ideas available on the Yale-Brown Obsessive Scale in predicting outcome for compulsions. For this item, the variance accounted for compulsions was 6.3% and for obsessions was 3.9%. Study 2 examined the response to behavioral therapy in a group of participants diagnosed with body dysmorphic disorder (BDD), a condition ostensibly linked to OCD and presumed to present with higher levels of overvalued ideas. Residual gains scores showed a significant relationship between obsessions and OVIS (accounting for 34.8% of the variance), but not for compulsions (10.2% variance accounted). As in Study 1, the predictive utility of the OVIS was superior to the single item assessment (with 0.2% variance accounted for compulsions, 2.4% variance accounted for obsessions). Taken together, the studies reported here show that this OVIS is predictive of treatment outcome, and the predictive value depends on which symptoms are used to assess outcome. Further, the scale is more effective in predicting outcome than a widely used single item assessment.     

A feasibility study of psychological strengths and well-being assessment in individuals living with recurrent depression

Current conceptualizations of mental illness focus on assessing psychopathology. A balanced approach would assess strengths that individuals bring to coping with illness. This study measures psychological strengths in individuals with recurrent depression, their coping strategies, and their perceptions of the usefulness of strengths assessment as a component of psychological assessment. Individuals (N?=?112) with recurrent depression completed an online questionnaire measuring several psychological strengths, including gratitude, forgiveness, spirituality, and hope. Participants also described their use of coping strategies and their reaction to the utility of the two-continua model of mental health. A subset (n?=?10) completed a follow-up telephone interview. Higher levels of gratitude, self-forgiveness, hope, and spirituality and lower levels of optimism were indicative of higher life satisfaction. Self-forgiveness, spirituality, and gratitude were predictors of happiness. Higher levels of hope and self-forgiveness predicted positive affect whereas lower levels of self-forgiveness predicted negative affect. Participants reported using a range of coping resources and indicated that they valued strengths assessment, perceiving the two-continua model of mental health as empowering. The researcher discusses implications for clinical practice.     

Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.