Word, thought, and deed: The role of object categories in children's inductive inferences and exploratory play.

Previous research (e.g., S. A. Gelman & E. M. Markman, 1986; A. Gopnik & D. M. Sobel, 2000) suggests that children can use category labels to make inductive inferences about nonobvious causal properties of objects. However, such inductive generalizations can fail to predict objects' causal properties when (a) the property being projected varies within the category, (b) the category is arbitrary (e.g., things smaller than a bread box), or (c) the property being projected is due to an exogenous intervention rather than intrinsic to the object kind. In 4 studies, the authors showed that preschoolers (M = 48 months; range = 42-57 months) were sensitive to these constraints on induction and selectively engaged in exploration when evidence about objects' causal properties conflicted with inductive generalizations from the objects' kind to their causal powers. This suggests that the exploratory actions children generate in free play could support causal learning. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Learning a theory of causality.

The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be learned from co-occurrence of events. We begin by phrasing the causal Bayes nets theory of causality and a range of alternatives in a logical language for relational theories. This allows us to explore simultaneous inductive learning of an abstract theory of causality and a causal model for each of several causal systems. We find that the correct theory of causality can be learned relatively quickly, often becoming available before specific causal theories have been learned—an effect we term the blessing of abstraction. We then explore the effect of providing a variety of auxiliary evidence and find that a collection of simple perceptual input analyzers can help to bootstrap abstract knowledge. Together, these results suggest that the most efficient route to causal knowledge may be to build in not an abstract notion of causality but a powerful inductive learning mechanism and a variety of perceptual supports. While these results are purely computational, they have implications for cognitive development, which we explore in the conclusion. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Serendipity is not serendipitous.

Serendipitous events have been shown to affect the careers of prominent counseling psychologists. Why should this seem surprising? Unplanned events affect everyone's career. The surprise is due to the widespread but unfounded assumption that career decisions should be the logical outcome of a "true reasoning" process. Counseling psychologists need to (a) broaden their view so that the reluctance to make an occupational commitment in the face of unpredictable future events can be celebrated as open-mindedness, not denigrated as indecisiveness, (b) teach clients that unplanned events are a normal and expected part of the career development process, and (c) teach clients how to generate unplanned events that contribute to a more satisfying life. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Causal relations and feature similarity in children's inductive reasoning.

Four experiments examined the development of property induction on the basis of causal relations. In the first 2 studies, 5-year-olds, 8-year-olds, and adults were presented with triads in which a target instance was equally similar to 2 inductive bases but shared a causal antecedent feature with 1 of them. All 3 age groups used causal relations as a basis for property induction, although the proportion of causal inferences increased with age. Subsequent experiments pitted causal relations against featural similarity in induction. It was found that adults and 8-year-olds, but not 5-year-olds, preferred shared causal relations over strong featural similarity as a basis for induction. The implications for models of inductive reasoning and development are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

It is time we did something about scientific illiteracy.

Criticizes the work of D. R. Lehman et al (see record 1988-34113-001) for its emphasis on the analogy between training in graduate programs in psychology and training in classical formal disciplines such as Latin and Greek. The present author asserts that (1) identification of the specific training experiences that promote the learning and generalization of the rules of statistical–methodological reasoning is necessary to improving students' reasoning abilities and (2) inductive rules of sciences and their application to everyday events can be taught at the college level and at much earlier stages of the educational process. A test developed by the present author assessed how well people are able to apply statistical and methodological concepts to reasoning about everyday-life events. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Thematic relations in adults' concepts.

Concepts can be organized by their members' similarities, forming a kind (e.g., animal), or by their external relations within scenes or events (e.g., cake and candles). This latter type of relation, known as the thematic relation, is frequently found to be the basis of children's but not adults' classification. However, 10 experiments found that when thematic relations are meaningful and salient, they have significant influence on adults' category construction (sorting), inductive reasoning, and verification of category membership. The authors conclude that concepts function closely with knowledge of scenes and events and that this knowledge has a role in adults' conceptual representations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Elements of the Socratic method: I. Systematic questioning.

Describes the use of systematic questioning (SQ), one of the elements of the Socratic method (SM), in terms of its format, content, and process. The other 2 elements of SM are inductive reasoning and universal definitions. Although many psychotherapists allude to the SM, most refer only to the questioning style and few describe the process in adequate detail. An attempt is made to provide an intermediate level of structure so as to facilitate a shaping process during the interview. SQ involves a complex interplay of question format, content, and process issues. The format of SQ emphasizes higher level cognitive processes, the content focuses on developing independent problem-solving skills in the client, and the process emphasizes a collaborative interaction between therapist and client. SQ can be used to facilitate self-initiated discovery, helping clients realize the answers they already possess. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The impact of motivation on temporal comparisons: Coping with traumatic events by perceiving personal growth.

Four studies were conducted to investigate the impact of self-enhancement motivation on the temporal comparisons of victims of stressful life events. Study 1 revealed that (a) victims were more likely than acquaintances of victims to report greater improvement in their personal attributes after traumatic life events than after mild negative life events and (b) victims perceived improvement by derogating their pre-event attributes. In Studies 2 and 3, an experimental approach was used to study the impact of threatening experiences on perceptions of personal growth, and similar findings were obtained. Study 4 confirmed that threatening self-relevant feelings play a causal role in prompting self-enhancing temporal comparisons. Taken together, the findings of these studies support the view that perceptions of personal improvement reflect, at least in part, motivated illusions that are designed to help people cope with threatening life experiences. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Elements of the Socratic method: III. Universal definitions.

Describes the content, process, and functions of universal definitions as used in psychotherapy. In the Socratic method, systematic questioning and inductive reasoning are used jointly to derive a universal definition. The content of universal definitions focuses on behavior labels (e.g., aggressive), evaluative standards (e.g., success), and abstract qualities (e.g., love). The process of using universal definitions in psychotherapy follows refutation, collection, and division to identify the essence of the concept. The functions of universal definitions include clarifying category membership, identifying potential causes, building new knowledge, broadening the client's perspective, limiting overgeneralizations, and guiding behavior change. Through the Socratic method, clients learn how to explore general emotional and interpersonal issues in an independent manner. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Children's differential performance on deductive and inductive syllogisms.

At what age and in what ways do children distinguish deductive and inductive problems? In Exp 1, students from kindergarten and from Grades 2, 4, and 6 were presented with deductive or inductive inference problems and asked to draw an inference and rate their confidence. By 4th grade, confidence ratings for deductive problems were higher than those for inductive problems, and responses were faster for deductive than for inductive items. In Exp 2, students from Grades 2, 3, 4, and 5 responded to the same problems used in Exp 1 but were asked to provide explanations for their responses. Again, confidence was higher with deductive than with inductive problems, and latency to respond was faster for deductive than for inductive items. Further, explanations differed as a function of the type of problem. These findings help fill in gaps in the emerging picture of the development of children's reasoning skills. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The emergence of children's causal explanations and theories: Evidence from everyday conversation.

This research examines the content of explanations that 4 English-speaking children gave or asked for in everyday conversations recorded from 2? to 5 years of age. Analyses of nearly 5,000 codable explanations (identified by markers like why or because) focused on the entity targeted for explanation (e.g., person, animal, object), the explanatory mode of causal reasoning (e.g., psychological, physical), and interrelations between these elements. Children's explanations focused on varied entities (animals, objects, and persons) and incorporated diverse modes (psychological, physical, social-conventional, and even biological reasoning). Children's pairings of entities with explanatory modes suggest appropriately constrained yet flexible causal reasoning. These data are consistent with the hypothesis that young children draw on several complementary causal-explanatory theories to make sense of real-life events. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Predicting reasoning from memory.

In an effort to assess the relations between reasoning and memory, in 8 experiments, the authors examined how well responses on an inductive reasoning task are predicted from responses on a recognition memory task for the same picture stimuli. Across several experimental manipulations, such as varying study time, presentation frequency, and the presence of stimuli from other categories, there was a high correlation between reasoning and memory responses (average r = .87), and these manipulations showed similar effects on the 2 tasks. The results point to common mechanisms underlying inductive reasoning and recognition memory abilities. A mathematical model, GEN-EX (generalization from examples), derived from exemplar models of categorization, is presented, which predicts both reasoning and memory responses from pairwise similarities among the stimuli, allowing for additional influences of subtyping and deterministic responding. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The role of causal models in analogical inference.

Computational models of analogy have assumed that the strength of an inductive inference about the target is based directly on similarity of the analogs and in particular on shared higher order relations. In contrast, work in philosophy of science suggests that analogical inference is also guided by causal models of the source and target. In 3 experiments, the authors explored the possibility that people may use causal models to assess the strength of analogical inferences. Experiments 1-2 showed that reducing analogical overlap by eliminating a shared causal relation (a preventive cause present in the source) from the target increased inductive strength even though it decreased similarity of the analogs. These findings were extended in Experiment 3 to cross-domain analogical inferences based on correspondences between higher order causal relations. Analogical inference appears to be mediated by building and then running a causal model. The implications of the present findings for theories of both analogy and causal inference are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A longitudinal study of the effects of undergraduate training on reasoning.

The effects of undergraduate training in the natural sciences, humanities, and social sciences on inductive reasoning requiring the use of statistical and methodological principles and on reasoning about problems in conditional logic were examined. Social science training produced large effects on statistical and methodological reasoning, whereas natural sciences and humanities training produced smaller, but still marginally significant, effects. Natural science and humanities training produced large effects on ability to reason about problems in conditional logic, whereas social science training did not. The improvement in conditional reasoning among natural science students appears to be due, in large part, to knowledge gained in mathematics courses. The results indicate that inferential rule systems, as taught by various fields, can affect reasoning about a wide range of problems. The findings lend support to a version of the premodern formal discipline hypothesis. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Asymmetries in predictive and diagnostic reasoning.

In this article, we address the apparent discrepancy between causal Bayes net theories of cognition, which posit that judgments of uncertainty are generated from causal beliefs in a way that respects the norms of probability, and evidence that probability judgments based on causal beliefs are systematically in error. One purported source of bias is the ease of reasoning forward from cause to effect (predictive reasoning) versus backward from effect to cause (diagnostic reasoning). Using causal Bayes nets, we developed a normative formulation of how predictive and diagnostic probability judgments should vary with the strength of alternative causes, causal power, and prior probability. This model was tested through two experiments that elicited predictive and diagnostic judgments as well as judgments of the causal parameters for a variety of scenarios that were designed to differ in strength of alternatives. Model predictions fit the diagnostic judgments closely, but predictive judgments displayed systematic neglect of alternative causes, yielding a relatively poor fit. Three additional experiments provided more evidence of the neglect of alternative causes in predictive reasoning and ruled out pragmatic explanations. We conclude that people use causal structure to generate probability judgments in a sophisticated but not entirely veridical way. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Temporal predictability facilitates causal learning.

[Correction Notice: An erratum for this article was reported in Vol 140(3) of Journal of Experimental Psychology: General (see record 2011-16270-001). Figure 2 (p. 759) contained an error. The corrected figure appears in the correction.] Temporal predictability refers to the regularity or consistency of the time interval separating events. When encountering repeated instances of causes and effects, we also experience multiple cause–effect temporal intervals. Where this interval is constant it becomes possible to predict when the effect will follow from the cause. In contrast, interval variability entails unpredictability. Three experiments investigated the extent to which temporal predictability contributes to the inductive processes of human causal learning. The authors demonstrated that (a) causal relations with fixed temporal intervals are consistently judged as stronger than those with variable temporal intervals, (b) that causal judgments decline as a function of temporal uncertainty, and (c) that this effect remains undiminished with increased learning time. The results therefore clearly indicate that temporal predictability facilitates causal discovery. The authors considered the implications of their findings for various theoretical perspectives, including associative learning theory, the attribution shift hypothesis, and causal structure models. (PsycINFO Database Record (c) 2011 APA, all rights reserved)