A visual familiarity account of evidence for orthographic processing in pigeons <Emphasis Type="Italic">(Columbia livia)</Emphasis>: a reply to Scarf,Corballis, Güntürkün,and Colombo (2017)

Scarf et al. (Proc Natl Acad Sci 113(40):11272–11276, 2016) demonstrated that pigeons, as with baboons (Grainger et al. in Science 336(6078):245–248, 2012; Ziegler in Psychol Sci.  https://doi.org/10.1177/0956797612474322, 2013), can be trained to display several behavioural hallmarks of human orthographic processing. But, Vokey and Jamieson (Psychol Sci 25(4):991–996, 2014) demonstrated that a standard, autoassociative neural network model of memory applied to pixel maps of the words and nonwords reproduces all of those results. In a subsequent report, Scarf et al. (Anim Cognit 20(5):999–1002, 2017) demonstrated that pigeons can reproduce one more marker of human orthographic processing: the ability to discriminate visually presented four-letter words from their mirror-reversed counterparts (e.g. “LEFT” vs. “ Open image in new window ”). The current report shows that the model of Vokey and Jamieson (2014) reproduces the results of Scarf et al. (2017) and reinforces the original argument: the recent results thought to support a conclusion of orthographic processing in pigeons and baboons are consistent with but do not force that conclusion.     

Cohesion network analysis of CSCL participation

The broad use of computer-supported collaborative-learning (CSCL) environments (e.g., instant messenger–chats, forums, blogs in online communities, and massive open online courses) calls for automated tools to support tutors in the time-consuming process of analyzing collaborative conversations. In this article, the authors propose and validate the cohesion network analysis (CNA) model, housed within the ReaderBench platform. CNA, grounded in theories of cohesion, dialogism, and polyphony, is similar to social network analysis (SNA), but it also considers text content and discourse structure and, uniquely, uses automated cohesion indices to generate the underlying discourse representation. Thus, CNA enhances the power of SNA by explicitly considering semantic cohesion while modeling interactions between participants. The primary purpose of this article is to describe CNA analysis and to provide a proof of concept, by using ten chat conversations in which multiple participants debated the advantages of CSCL technologies. Each participant’s contributions were human-scored on the basis of their relevance in terms of covering the central concepts of the conversation. SNA metrics, applied to the CNA sociogram, were then used to assess the quality of each member’s degree of participation. The results revealed that the CNA indices were strongly correlated to the human evaluations of the conversations. Furthermore, a stepwise regression analysis indicated that the CNA indices collectively predicted 54% of the variance in the human ratings of participation. The results provide promising support for the use of automated computational assessments of collaborative participation and of individuals’ degrees of active involvement in CSCL environments.     

Differential Item Functioning of the Emotional and Behavioral Screener for Caucasian and African American Elementary School Students

The present study examined the psychometric properties of a universal screening instrument called the Emotional and Behavioral Screener (EBS), which is designed to identify students exhibiting emotional and behavioral problems. The primary purposes of this study were to assess the measurement invariance of EBS items between Caucasian and African-American students and to assess the impact of differential item functioning (DIF) on EBS scores. The sample consisted of 946 elementary students from throughout the U.S. The findings suggested that EBS items exhibited small to negligible levels of DIF, and that DIF did not significantly impact EBS scores. The results supported the EBS as universal screening instrument that is fair in measuring the emotional and behavioral risk of elementary students. Research limitations and implications for school professionals are discussed.     

Differential short-term memorisation for vocal and instrumental rhythms

This study explores differential processing of vocal and instrumental rhythms in short-term memory with three decision (same/different judgments) and one reproduction experiment. In the first experiment, memory performance declined for delayed versus immediate recall, with accuracy for the two rhythms being affected differently: Musicians performed better than non-musicians on clapstick but not on vocal rhythms, and musicians were better on vocal rhythms in the same than in the different condition. Results for the second experiment showed that concurrent sub-vocal articulation and finger-tapping differentially affected the two rhythms and same/different decisions, but produced no evidence for articulatory loop involvement in delayed decision tasks. In a third experiment, which tested rhythm reproduction, concurrent sub-vocal articulation decreased memory performance, with a stronger deleterious effect on the reproduction of vocal than of clapstick rhythms. This suggests that the articulatory loop may only be involved in delayed reproduction not in decision tasks. The fourth experiment tested whether differences between filled and empty rhythms (continuous vs. discontinuous sounds) can explain the different memorisation of vocal and clapstick rhythms. Though significant differences were found for empty and filled instrumental rhythms, the differences between vocal and clapstick can only be explained by considering additional voice specific features.     

Between two selves: comparing global and local predictors of speed of switching between self-aspects

Self-concepts are composed of multiple self-aspects that vary in their momentary accessibility. When a particular self-aspect is active, it guides one’s cognition and behavior in a context-specific fashion. The current research quantified the ease with which people switch from one active self-aspect to another using a novel reaction time approach. Specifically, two studies tested how self-aspect switching speed is influenced by global (i.e., self-complexity) and local (i.e., self-aspect importance) features of the self-concept. The findings revealed that people transition between self-aspects more slowly when switching from a more important self-aspect to a less important one. In other words, important self-aspects are privileged within the working self-concept.     

Use of an explicit rule decreases procrastination in university students

The procrastination behavior of students from a small rural university was decreased by presenting them with a rule indicating that a sooner final due date for a writing assignment would be contingent on procrastination during earlier phases of the paper. A counterbalanced AB BA design was used to measure the effects of the rule‐based treatment across 2 introductory psychology classes (N = 33). Overall, participants engaged in less procrastination, missed fewer deadlines, and produced higher quality writing in the treatment condition.     

Evaluation of increasing antecedent specificity in goal statements on adherence to positive behavior‐management strategies

We evaluated the impact of antecedent specificity in goal statements on adherence to positive behavior‐management strategies. Teaching staff were recruited from 2 different school settings where there were routine expectations to use behavior‐specific praise in the classroom, but adherence was poor. In a concurrent multiple baseline design, the use of behavior‐specific praise by 4 participants was found to be unaffected by goal statements that increasingly specified the behavior to be used and the conditions under which the behavior should occur. However, adherence by 3 of the 4 participants did change when goal statements included teacher‐specified frequencies with which the behavior should occur. Results were systematically replicated in a second study in which, in a concurrent multiple baseline design, 3 participants showed marked increases in adherence when goal statements specified the target behavior, the conditions under which it should occur, and the frequency with which it should occur.     

Perceptual dimensions differentiate emotions

Individuals often describe objects in their world in terms of perceptual dimensions that span a variety of modalities; the visual (e.g., brightness: dark–bright), the auditory (e.g., loudness: quiet–loud), the gustatory (e.g., taste: sour–sweet), the tactile (e.g., hardness: soft vs. hard) and the kinaesthetic (e.g., speed: slow–fast). We ask whether individuals use perceptual dimensions to differentiate emotions from one another. Participants in two studies (one where respondents reported on abstract emotion concepts and a second where they reported on specific emotion episodes) rated the extent to which features anchoring 29 perceptual dimensions (e.g., temperature, texture and taste) are associated with 8 emotions (anger, fear, sadness, guilt, contentment, gratitude, pride and excitement). Results revealed that in both studies perceptual dimensions differentiate positive from negative emotions and high arousal from low arousal emotions. They also differentiate among emotions that are similar in arousal and valence (e.g., high arousal negative emotions such as anger and fear). Specific features that anchor particular perceptual dimensions (e.g., hot vs. cold) are also differentially associated with emotions.