A Bayesian Theory of Sequential Causal Learning and Abstract Transfer

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause‐effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre‐training (or even post‐training) can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables (e.g., binary vs. continuous) to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue‐outcome co‐occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge.     

Proposition 187 reexamined: Attitudes toward immigration among California voters

The purposes of this study were to examine socio-demographic predictors of attitudes toward immigration in a community-based sample (N = 494) from the Los Angeles area; and to explore the relationship between attitudes toward immigration and the providing of educational and health services to the children of undocumented immigrants. Not providing services to the children of undocumented immigrants was a key element of California's Proposition 187. Attitudes toward immigration were measured with the Attitudes Toward Immigration Scale (ATIS). The providing of services was measured through the participants' evaluations of a school scenario and a health care scenario. Results indicated that participants who were middle-aged or older, less educated, identified as Republican, and were third generation or greater were more likely to hold negative attitudes toward immigration. Furthermore, participants holding negative attitudes toward immigration were less likely to provide education and health care services to the children of undocumented immigrants.     

Affective interactions using virtual reality: the link between presence and emotions.

Many studies showed the ability of movies and imagery techniques to elicit emotions. Nevertheless, it is less clear how to manipulate the content of interactive media to induce specific emotional responses. In particular, this is true for the emerging medium virtual reality (VR), whose main feature is the ability to induce a feeling of "presence" in the computer-generated world experienced by the user. The main goal of this study was to analyze the possible use of VR as an affective medium. Within this general goal, the study also analyzed the relationship between presence and emotions. The results confirmed the efficacy of VR as affective medium: the interaction with "anxious" and "relaxing" virtual environments produced anxiety and relaxation. The data also showed a circular interaction between presence and emotions: on one side, the feeling of presence was greater in the "emotional" environments; on the other side, the emotional state was influenced by the level of presence. The significance of these results for the assessment of affective interaction is discussed.     

Pragmatics of the Development of Personal Identity in Adolescents in the Latin American Context

The present work proposes a pragmatic perspective of the development of personal identity. Such perspective is based on a unifying vision that incorporates the contribution of communicative pragmatics and becomes aware of the contribution of semiotics to psychology, without leaving aside the eriksonian point of view and other significant contributions in the field. The article defines identity in adolescence from a development approach, and adopts a systemic perspective concerning the insertion of adolescents in their context of formation as individuals. It then proposes a way to understand identity from a pragmatic-communicative perspective. Finally, it introduces two communicative use contexts from which personal identity can emerge, showing the importance of communication and language in the formation and development of identity.     

Investigating stereotype structure with empirical network models

In this work we present empirical network models as a new approach in the investigation of stereotype structure. We will argue that empirical network models can provide more insight into stereotype structure because they do not suffer from the inherent constraints of factor analysis and multidimensional scaling (e.g., group features interpreted homogeneously only on the basis of their shared variance, impossibility to adequately represent cognitive schemas, difficulties to make inferences on the basis of dimensions potentially overlapping). In the present research we show how empirical network models can represent stereotypes as dynamic cognitive structures clustered in different substructures. These structures will be based on both the stereotype content and the co-occurrence of features in each group target. Additionally, this research shows how using empirical networks can contribute to broadening the interpretation of stereotypes representing them in the framework of prejudice or intergroup attitudes.     

Exploring Diurnal Cortisol Rhythms of Kindergarten Teachers in Kosovo and Ukraine

Teachers’ stress is a dynamic combination of the individual teacher's characteristics and characteristics of the classroom and school environment. To date, there are limited studies on teachers’ stress in the context of lower‐middle‐income countries (LMICs), where working conditions as well as general political and economic circumstances might pose a considerable threat for teachers’ well‐being. This study explores whether certain combinations of individual and environmental experiences of teachers in LMICs may result in stress, assessed as patterns of diurnal cortisol rhythm. Participants were kindergarten teachers in Kosovo and Ukraine, two LMICs in Europe. Latent Profile Analysis identified three subgroups of teachers that significantly differed on teachers’ education and experience. Preliminary results of Latent Growth Modeling suggested differences between profiles in baseline waking cortisol and patterns of diurnal decline. Teachers in the profile that was characterized by the longest experience working in the field but the lowest level of education showed blunted cortisol in the morning and a flatter slope; a pattern that could indicate a maladaptive cortisol response. Future directions for studying stress processes among teachers in LMICs and implications for policy and practice on how to support teacher well‐being in low‐resource contexts are discussed.     

Validity evidence of the Health-Related Quality of Life for Drug Abusers Test based on the Biaxial Model of Addiction

The aim of this work is to show evidence of the validity of the Health-Related Quality of Life for Drug Abusers Test (HRQoLDA Test). This test was developed to measure specific HRQoL for drugs abusers, within the theoretical addiction framework of the biaxial model. The sample comprised 138 patients diagnosed with opiate drug dependence. In this study, the following constructs and variables of the biaxial model were measured: severity of dependence, physical health status, psychological adjustment and substance consumption. Results indicate that the HRQoLDA Test scores are related to dependency and consumption-related problems. Multiple regression analysis reveals that HRQoL can be predicted from drug dependence, physical health status and psychological adjustment. These results contribute empirical evidence of the theoretical relationships established between HRQoL and the biaxial model, and they support the interpretation of the HRQoLDA Test to measure HRQoL in drug abusers, thus providing a test to measure this specific construct in this population.     

Spelling development in the Spanish language

This study focused on spelling development in Spanish children from elementary grades. A sample of 1045 was selected from 2nd to 6th grade belonging to four schools in Tenerife Island with an age range between 7 and 12 years old (M = 113.8, SD = 17.6). We administered a standardized writing test that includes diverse subtests to assess spelling, ruled and not ruled, and various written composition tasks (i.e., writing a story based on vignettes, describing a character and writing a story). We calculated the average of correct spellings in each variable and school level, and we also analyzed the type of misspellings that children made across different writing tasks. We found that spelling is acquired by 4th-grade children when it is not ruled, whereas the spelling of ruled words is acquired by 5th-grade children. When we analyzed the misspellings in a dictation task, we found that the children confused spelling of the graphemes c/s/z/x. Across different writing tasks, we found that students committed more misspellings with the graphemes b/v, h y c/s/z/x before they finished the 4th elementary grade.     

The Subjectivity Inherent in Objective Measures of Well-Being

Claims abound that GDP accounting ignores social and ecological problems and misrepresents social well-being. While GDP growth continues to be a policy priority in most countries, it is at best one objective among many in achieving humanity’s “ultimate purpose.” Yet revisions to the income accounts and alternative well-being indicators are also problematic, since they reinforce the illusion that social and ecological impacts on well-being are objectively measurable. Future policy must not only be informed to a greater extent by qualitative and multi-dimensional assessments, but must recognize that any rank-ordering of society’s ultimate ends cannot but be subjective.

Presence and emotions in virtual environments: the influence of stereoscopy.

This study investigates how stereoscopy (the illusion of depth and 3D imaging) affects the sense of presence and the intensity of the positive mood that users feel in virtual environments (VEs). A between-group design was used, and 40 volunteers were randomly assigned to one of two experimental conditions (stereoscopy vs. no stereoscopy) and to one of two emotional VEs (relaxation or joy). The participants' emotions were assessed before and after the VR experience. Presence was measured with two postexperiment questionnaires (ITC-SOPI and SUS). Results show that there were no differences between stereoscopic and monoscopic presentations in VEs (neither subjective sense of presence nor emotional reactions). Practical and theoretical implications of these findings are discussed herein.