Teacher Beliefs,Classroom Interaction and Personal Causation1

The study reports relationships between teachers' belief systems (Harvey), a teacher-pupil interaction measure of classroom influence, pupils' perception of the dimate of the dassroom, and pupils' academic achievement. Results demonstrate that more complex teachers encourage more pupil influence, and are perceived as having a more origin climate. In classrooms of high pupil influence and perceived origin climate, the pupils have higher academic achievement. These results are discussed in terms of the theory of personal causation and are cited as evidence for the value of the study of action sequences as related to verbal-utterances of the actors.     

Widowhood and the Subjective Well-Being of Older People in China: the Mediating Effects of Lifestyle

Applied Research in Quality of Life - Previous research has illustrated that lifestyle is correlated with widowhood and subjective well-being amongst older people; however, few studies have...     

Ground grounded

Philosophical Studies - Most facts of grounding involve nonfundamental concepts, and thus must themselves be grounded. But how? The leading approaches—due to Bennett, deRosset, and...     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

Specificity of the MMPI-2 Fake Bad Scale as a marker for personal injury malingering

Psychologists who evaluate patients in medicolegal contexts should utilize objective assessment data with empirically established sensitivity and specificity for identifying negative response bias. The purpose of this study was to investigate the specificity of the Fake Bad Scale for identifying negative response bias in personal injury claimants. The cutoff scores proposed by Lees-Haley and colleagues were applied a federal prison, medical outpatients, and patients from to inmate volunteers from substance abuse unit. Half of the inmates were given instructions to malinger psychopathology to affect the adjudication process, and the remaining inmates and all of the hospital patients were given standard instructions. The original cutoff scores correctly identified the majority of inmates instructed to malinger psychopathology, but these scores resulted in unacceptably high rates of false positive classifications. The revised cutoff scores resulted in fewer false positives, i.e., 8%-24%.     

Beware of samples! A cognitive-ecological sampling approach to judgment biases

A cognitive-ecological approach to judgment biases is presented and substantiated by recent empirical evidence. Latent properties of the environment are not amenable to direct assessment but have to be inferred from empirical samples that provide the interface between cognition and the environment. The sampling process may draw on the external world or on internal memories. For systematic reasons (proximity, salience, and focus of attention), the resulting samples tend to be biased (selective, skewed, or conditional on information search strategies). Because people lack the metacognitive ability to understand and control for sampling constraints (predictor sampling, criterion sampling, selective-outcome sampling, etc.), the sampling biases carry over to subsequent judgments. Within this framework, alternative accounts are offered for a number of judgment biases, such as base-rate neglect, confirmation bias, illusory correlation, pseudo-contingency, Simpson's paradox, outgroup devaluation, and pragmatic-confusion effects.     

“Aha” effects in the generation of pictures

An "aha" effect in memory was first reported by Auble, Franks, and Soraci (1979). They demonstrated that recall was greater for sentences that were initially incomprehensible but which were eventually comprehended, as compared with sentences that were understood from the outset. The present studies extend this "aha" effect to memory for pictorial stimuli. In Experiment 1, a recall advantage for pictures encoded by connecting the dots as compared with those encoded by tracing or visual scanning occurred only in the absence of foreknowledge of the picture (i.e., an "aha" effect). In Experiment 2, we replicated this finding and obtained evidence that conceptually based, verbal foreknowledge does not function in a similar manner as does pictorial foreknowledge in suppressing the "aha" recall advantage. These results place important constraints on previous research on generation effects for visual stimuli and attest to the cross-modal generalizability of the "aha" effect.     

A sampling approach to biases in conditional probability judgments: beyond base rate neglect and statistical format

Conditional probability judgments of rare events are often inflated. Early accounts assumed a general deficit in using statistical base rates. More recent approaches predict improvement when problems are presented in frequency format or refer to natural categories. The present theory focuses on sampling processes. Experiment 1 showed that a seeming advantage of frequency over probability formats is due to a confounded factor, the need to mentally transform stimulus samples. An information search paradigm was used in Experiment 2. When sampling by the predictor, the probability to be estimated, p(criterion/predictor), was conserved in the samples and judgments were quite accurate. However, when sampling by the criterion, the low base-rate event was strongly overrepresented, accounting for the entire bias. Judgments were quite sensitive to the sampled data, but failed to take sampling constraints into account, as shown in Experiments 3 and 4.