Building the perfect curse word: A psycholinguistic investigation of the form and meaning of taboo words

Taboo words represent a potent subset of natural language. It has been hypothesized that “tabooness” reflects an emergent property of negative valence and high physiological arousal of word referents. Many taboo words (e.g., dick, shit) are indeed consistent with this claim. Nevertheless, American English is also rife with negatively valenced, highly arousing words the usage of which is not socially condemned (e.g., cancer, abortion, welfare). We evaluated prediction of tabooness of single words and novel taboo compound words from a combination of phonological, lexical, and semantic variables (e.g., semantic category, word length). For single words, physiological arousal and emotional valence strongly predicted tabooness with additional moderating contributions from form (phonology) and meaning (semantic category). In Experiment 2, raters judged plausibility for combinations of common nouns with taboo words to form novel taboo compounds (e.g., shitgibbon). A mixture of formal (e.g., ratio of stop consonants, length) and semantic variables (e.g., ± receptacle, ± profession) predicted the quality of novel taboo compounding. Together, these studies provide complementary evidence for interactions between word form and meaning and an algorithmic prediction of tabooness in American English. We discuss applications for models of taboo word representation.

     

Diagnostic models for procedural bugs in basic mathematical skills

A new diagnostic modeling system for automatically synthesizing a deep-structure model of a student's misconceptions or bugs in his basic mathematical skills provides a mechanism for explaining why a student is making a mistake as opposed to simply identifying the mistake. This report is divided into four sections: The first provides examples of the problems that must be handled by a diagnostic model. It then introduces procedural networks as a general framework for representing the knowledge underlying a skill. The challenge in designing this representation is to find one that facilitates the discovery of misconceptions or bugs existing in a particular student's encoding of this knowledge. The second section discusses some of the pedagogical issues that have emerged from the use of diagnostic models within an instructional system. This discussion is framed in the context of a computer-based tutoring/gaming system developed to teach students and student teachers how to diagnose bugs strategically as well as how to provide a better understanding of the underlying structure of arithmetic skills. The third section describes our uses of an executable network as a tool for automatically diagnosing student behavior, for automatically generating “diagnostic” tests, and for judging the diagnostic quality of a given exam. Included in this section is a discussion of the success of this system in diagnosing 1300 school students from a data base of 20.000 test items. The last section discusses future research directions.     

An Idiographic Single-Case Study Examining the Use of Rational Emotive Behavior Therapy (REBT) with Three Amateur Golfers to Alleviate Social Anxiety

Performance anxiety has been studied in relation to golf performance, but one phenomenon that has received scant attention is social anxiety. One potential intervention that could reduce social anxiety in golfers is rational emotive behavior therapy (REBT), a cognitive-behavioral approach for which research interest is growing. The current study used an idiographic single-case study design to assess the effects of REBT on the social anxiety of 3 male amateur golfers. REBT was employed both on and off the golf course to ensure integration of REBT into the golfers’ performance, offering a methodological advancement of past research. Data were collected prior to, during, and after the REBT intervention. Visual analysis following single-case guidelines revealed substantial reductions in irrational beliefs and social anxiety in all three golfers. Social validation data indicated the positive receipt of REBT by the golfers and supported the visual analysis findings. This current study supports the effectiveness of REBT and extends the research by applying REBT in a “real-world” performance setting, offering methodological advances and providing clear implications for future research and practice.     

We Welcome Refugees? Understanding the Relationship between Religious Orientation,Religious Commitment,Personality, and Prejudicial Attitudes toward Syrian Refugees

ABSTRACT

Approximately 5 million refugees have been displaced since the start of the Syrian civil war in 2011. In 2016, the refugee crisis reached deadly proportions, causing many Syrians to flee their homes in search of asylum. Individual responses to refugees differed as Syrians attempted to resettle throughout the world. Research has shown that religious orientation (intrinsic, extrinsic, quest), religious commitment, and personality traits can help explain prejudicial attitudes toward outgroups. The purpose of this study is to examine the role that personality and religion play in predicting prejudicial attitudes toward Syrian refugees in the United States. The study’s sample consists of 844 participants recruited during the height of the Syrian refugee crisis. Participants completed online surveys through Amazon’s Mechanical Turk. Results of hierarchical regression indicated that personality explained about 14% of the variance in prejudicial attitudes; specifically, Extroversion and Conscientiousness were positively related to prejudice, whereas Agreeableness was negatively related. Religious commitment and religious orientation explained an additional 0.8% to 2.5% variance, respectively, in prejudicial attitudes above and beyond personality. We discuss implications of findings for future research and practice.