效果量的意义及测定方法

文介绍了效果量在心理学研究中的意义以及评价效果量大小的标准,特别是说明了d,rpb^2,η^2和ω^2几个效果量的测定方法,并提出了提高效果量的措施及对效果量作研究的评论。     

Evidence for spontaneous level-2 perspective taking in adults

Social interactions are fostered by humans’ propensity to compute their partner’s perspective online. However, due to the mindreading system’s limited capacity perspective taking (PT) was argued to occur spontaneously only for level-1, but not level-2 perspectives. We propose that level-2 perspectives (containing aspectual information) can also be computed spontaneously if participants have reason to assume that the partner is indeed aware of the objects’ aspectual properties. Pairs of adult participants took part in the modified version of Surtees, Butterfill, and Apperly’s (2012) number verification paradigm. Participants had prior information on their partner’s task, which either called for processing aspectual properties or did not. The partner’s inconsistent perspective was found to interfere with RT-s providing evidence for spontaneous level-2 PT. However, such interference only occurred when the partner’s task involved processing the perspective dependent object feature, suggesting that PT was sensitive to the other’s awareness of the to be represented information.     

Psychological Interventions and Genetic Testing: Facilitating Informed Decisions About BRCA1/2 Cancer Susceptibility

Genetic testing for inherited cancer susceptibility, based on the recently identified. BRCA1 and BRCA2 genes, will soon be available on a large scale. However, at present, genetic test results do not lead to clearly indicated diagnostic or preventive measures, and the nature of the psychological impact of BRCA1/2 testing is still largely unknown. This uncertainty, combined with preliminary evidence suggesting significant individual differences in reactions to genetic susceptibility feedback, constitutes a unique challenge for any individual contemplating such testing. We outline the nature of this challenge and then propose an intervention strategy designed to help individuals make deeply processed and psychologically well-informed decisions with regard to their genetic susceptibility. The intervention is guided by recent research findings and theory on the cognitive–emotional processing of cancer-risk information. Specifically, the goal is to prepare the individual for genetic testing by (1) cognitively and emotionally activating, or preliving, the individual's potential reactions to testing feedback; (2) facilitating accurate appraisal of the individual's cognitive–emotional reactions; and (3) enabling the individual to process these reactions through the use of well-established clinical techniques.     

Inducing ordinal and cardinal representations of the first five natural numbers

The prediction that the ordinal property of natural number symbols (using these symbols to represent the terms in an ordered progression) is more easily learned than the cardinal property of natural number symbols (using these symbols to represent the manyness of collections) was examined in this experiment. Preschoolers who evidenced no proficiency with either the ordinal or cardinal properties of natural number symbols were trained to acquire these properties via simple feedback. Both properties proved to be trainable. The most important findings were that the ordinal property was much easier to train than the cardinal property, ordinal training effects were more durable across a 1-week interval than cardinal training effects, and ordinal training appeared to transfer better than cardinal training.     

Positive contrast obtained in reacquisition following interpolation of nonreinforced or partially reinforced trials

Two experiments investigated the effects of shifting from either nonreinforcement or partial reinforcement (PRF) to continuous reinforcement conditions (CRF). In the first experiment, three groups of rats were given food reinforcement under CRF conditions in a runway followed by regular extinction trials (RE), extinction trials where Ss were delayed for 30 sec before entering the empty goal box (DE), or CRF trials where Ss were delayed for 30 sec before entering the baited goal box (DF). Then all Ss were run on the delayed reinforcement condition (DF). In the final delayed reinforcement condition, group DE ran significantly faster than group DF, reflecting positive contrast. In the second experiment, four groups of rats were trained in a runway to receive either 4% or 18% sucrose reinforcers under either PRF or CRF conditions. Then all Ss were transferred to a Skinner box and bar presses were continuously reinforced, with each S continuing to receive the same sucrose concentration as before. The former PRF Ss, regardless of the reinforcer, bar pressed at a significantly higher rate in the Skinner box than the former CRF Ss. The evidence seemed to favor the view that the effectiveness of a reinforcer is not an absolute, unchanging quantity but rather depends on the historical context in which the reinforcer occurs.     

Multi‐set factor analysis by means of Parafac2

We consider multi‐set data consisting of observations, k = 1,…, K (e.g., subject scores), on J variables in K different samples. We introduce a factor model for the J × J covariance matrices , k = 1,…, K, where the common part is modelled by Parafac2 and the unique variances , k = 1,…, K, are diagonal. The Parafac2 model implies a common loadings matrix that is rescaled for each k, and a common factor correlation matrix. We estimate the unique variances by minimum rank factor analysis on for each k. The factors can be chosen orthogonal or oblique. We present a novel algorithm to estimate the Parafac2 part and demonstrate its performance in a simulation study. Also, we fit our model to a data set in the literature. Our model is easy to estimate and interpret. The unique variances, the factor correlation matrix and the communalities are guaranteed to be proper, and a percentage of explained common variance can be computed for each k. Also, the Parafac2 part is rotationally unique under mild conditions.     

Jung in education: a review of historical and contemporary contributions from analytical psychology to the field of education

The available literature on the influence of Jungian thought on the theory and practice of education leaves the impression that although the work of Carl Jung and analytical psychology have much to offer the field of education, the Jungian influence has so far been slight. While this has certainly been true, the last decade or so has nevertheless witnessed an increased scholarly interest in exploring how analytical psychology may inform and inspire the field of education. As an explanation for this burgeoning interest in Jung, several of the contemporary contributors mention that analytical psychology has the potential of functioning as a counterbalance to the tendencies in Western societies to focus on measurable learning targets and increasingly standardized measures of teaching and assessment. It seems pertinent then to gain an overview of how analytical psychology has so far inspired the field of education and how it may fruitfully continue do so in the future. To this end this paper is structured chronologically, starting with the different phases of Jung's own engagement with the field of education and ending with later post‐Jungian applications of his concepts and ideas to education.     

Profiles of Peritraumatic Emotions

Researchers have identified peritraumatic emotions as important predictors of who will develop posttraumatic stress disorder (PTSD) symptoms. However, such investigations have not examined full profiles of emotions, perhaps because of the typical emphasis on fear or other Criterion A2 emotions. Such an examination could help us identify which peritraumatic emotions are prominent, and how they relate to important posttrauma outcomes. Thus, the aim of this study was to identify distinct profiles of peritraumatic emotions and their correlates using a comprehensive survey of peri- and posttraumatic reactions. We conducted a latent profile analysis of peritraumatic emotions in 398 undergraduate students who reported a DSM–IV A1 trauma and then compared the resulting profiles on trauma type, PTSD, depression, and posttraumatic cognitions. Six distinct profiles emerged: 3 had consistently low, medium, or high levels across the range of emotions, with 3 others primarily characterized by low shame and guilt, high anger and guilt, and low guilt. These profiles significantly differed in terms of trauma type, PTSD, depression, and posttraumatic cognitions. In particular, profiles with high levels of anger, shame, and guilt were consistently related to overall worse functioning. Importantly, fear and associated emotions did not differentiate between profiles. These results have important implications for the phenomenology of posttrauma emotional reactions and strongly suggest that the clinical assessment of traumatic experiences go beyond fear-based conceptualizations.