Stopping rules for multi-category computerized classification testing

Computerized classification testing (CCT) aims to classify persons into one of two or more possible categories to make decisions such as mastery/non-mastery or meet most/meet all/exceed. A defining feature of CCT is its stopping criterion: the test terminates when there is enough confidence to make a decision. There is abundant research on CCT with a single cut-off, and two common stopping criteria are the sequential probability ratio test (SPRT) statistic and the generalized likelihood ratio statistic (GLR). However, there is a relative scarcity of research extending the SPRT to the multi-hypothesis case for when there is more than one cut-off. In this paper, we propose a new multi-category GLR (mGLR) statistic as well as a stochastically curtailed version of the CCT with three or more categories. A simulation study was conducted to show that the mGLR statistic outperformed the existing stopping rules by generating shorter average test length without sacrificing classification accuracy. Results also revealed that the stochastically curtailed mGLR successfully increased test efficiency in certain testing conditions.     

Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements

Recent studies have documented substantial variability among typical listeners in how gradiently they categorize speech sounds, and this variability in categorization gradience may link to how listeners weight different cues in the incoming signal. The present study tested the relationship between categorization gradience and cue weighting across two sets of English contrasts, each varying orthogonally in two acoustic dimensions. Participants performed a four-alternative forced-choice identification task in a visual world paradigm while their eye movements were monitored. We found that (a) greater categorization gradience derived from behavioral identification responses corresponds to larger secondary cue weights derived from eye movements; (b) the relationship between categorization gradience and secondary cue weighting is observed across cues and contrasts, suggesting that categorization gradience may be a consistent within-individual property in speech perception; and (c) listeners who showed greater categorization gradience tend to adopt a buffered processing strategy, especially when cues arrive asynchronously in time.     

Phenomenology of the trickster archetype,U.S. electoral politics and the Black Lives Matter movement

This paper examines the Black Lives Matter (BLM) movement in cultural, historical and relational contexts at the intersection of the U.S. Civil Rights movement, U.S. Civil Rights legislation, the Voting Rights Act of 1965 and reforms thereto in the recent U.S. Supreme Court decision of Shelby County v Holder, 570 U.S.529 (2013). The intergenerational relations between the BLM movement and these ongoing movements for civil and human rights is underscored. In the wake of protests about the sadistic murder of George Floyd, an unarmed African American man, by a Caucasian police officer, the BLM movement has been mischaracterized as an affront to law and order by the Trump-led U.S. administration. The mischaracterization was a re-election campaign effort designed to ignite ‘white fear’, ‘white rage’ and to defend police brutality and systemic racism. Analytical psychology and the phenomenology of the trickster archetype, as amplified from the African-centric perspective in the Yoruba deity Esu-Elegba, are employed to interrogate partisan obstructionist behaviours that assault multicultural democracy in both contemporary U.S. electoral politics and the political economy. The paper concludes with a brief note on the social activism of Fair Fight Georgia and the integration of its agenda into the BLM movement.     

The Association between Home Environment and Quality of Life in Children and Adolescents in Hangzhou City,China

To investigate the influence of the home environment, defined as family socioeconomic status (SES) (parent education level, household income), student resource-mediated SES (access to nutritional resources and cognitively stimulating experiences), reading ability, and difficulty with homework on quality of life in children and adolescents residing in urban and suburban areas in Hangzhou City, Zhejiang Province, China. This study included 3200 Grade 3–6 students from 8 elementary schools in Hangzhou City. Assessments included questionnaires that evaluated student quality of life, family SES, resource-mediated SES (dietary behavior and the home literacy environment), reading ability, and difficulty with homework. The effects of the home environment on student quality of life were analyzed by univariate analysis, multiple linear regression analysis, and structural equation modeling. Overall, 80.6% of students had a medium or better quality of life. Young age (Grade 3 or 4), female sex, household income of 10000–15000 RMB, high breakfast consumption, daily intake of fruit, a balanced diet, and good reading habits were positively correlated with student quality of life (P?<?0.05), while overuse of electronic devices was negatively correlated with quality of life (P?<?0.05). Dietary behaviors, home literacy environment, and student reading ability and difficulty with homework directly affected quality of life. Family SES indirectly affected student quality of life. Children and adolescents in China should have access to good nutrition and cognitively stimulating experiences to enhance their well-being and provide them with social and academic advantages.