The Role of Set for Variability in Irregular Word Reading: Word and Child Predictors in Typically Developing Readers and Students At-Risk for Reading Disabilities

ABSTRACT

In a quasiregular orthography like English, children inevitably encounter irregular words during reading. Previous research suggests successful reading of an irregular word depends at least partially on a child’s ability to address the mismatch between decoded form and stored word pronunciation, referred to as a child’s set for variability, and the word’s relative transparency, measured here using a spelling to pronunciation transparency rating. Item-level analyses were used to explore the relationship between general child performance on the set for variability mispronunciation task, word specific set for variability (predicting reading of that word), spelling to pronunciation transparency rating, and irregular word reading. Significant predictors included general word reading, general set for variability performance, and item-specific set for variability performance; word frequency and spelling to pronunciation transparency rating; and an interaction between word reading and the transparency rating. Results underscore the importance of considering both general and item-specific factors affecting irregular word reading.     

当"雪球"融化时

我们常常会为那些动人的爱情故事感动得落泪,也常常会感慨生活的造化弄人。其实爱情,不仅仅只限于人类,天鹅从一而终的绝唱的令人唏嘘。本文的两只可爱的小鸟,也向我们展示了爱情美好而动人的一面。     

(Trans)lating Identity: Exploring Discursive Strategies for Navigating the Tensions of Identity Gaps

This study explored the formation and expression of gender identity among 19 self-identified transgender individuals through the use of qualitative, in-depth interviews. Through the lens of the Communication Theory of Identity (CTI), we examined how trans* individuals form and perform gender identity, the tensions produced between identity frames, and the discursive strategies used to navigate those tensions. We identified the manifestation of three specific identity gaps: personal-enacted, personal-relational, and enacted-relational. Furthermore, we discovered four discursive strategies previously recognized for navigating tensions that emerge from identity gaps: closeted enactment, passing, disengagement, and label changing, and we identified a fifth discursive strategy—hyper-engagement—used to navigate these tensions. Results revealed that these identity layers and discursive strategies collaboratively manifest and coalesce in response to specific communicative contexts. Our results are discussed within the resounding call for greater understanding of trans* identity formation and expression.     

The non-molecular structure of solids

To sum up our argument then: It is shown, in the first place, that the arrangement of the atoms in certain crystals, as determined by the X-ray spectra, indicates definitely that in these crystals there is no molecular structure.In extending the argument to all solid matter it is pointed out, from the dependence of crystal form on chemical composition, from a consideration of the Dulong-Petit law and of the nature of cohesion, and from the evidence of X-rays as to certain crystals, that each atom in a solid oscillates about a definite position of stable equilibrium.From a further examination of the nature of cohesion and of the forces concerned in chemical combination and especially from the general relation found between the atomic heat of formation of a substance and its melting-point it is found that the forces holding the atoms in their positions of stable equilibrium are of the same nature and comparable in magnitude with the forces binding together a chemical molecule.It is seen further that the atoms in a solid are very close together so that they often come in contact. And, since an atom attracts equally all atoms of another kind which are in contact with it, an atom cannot remain combined for more than an infinitesimal interval with any other particular atom ordinary temperatures.Finally, it was shown that, since in the solid state each atom has three degrees of translational freedom and is strongly attracted by atoms other than those of its own “molecule,” it must, on the average, exert equal attractions on all the neighboring atoms.From this the conclusion is drawn that in the particular molecules cannot be definitely defined.When those properties of solid matter which have been explained by molecules are considered, nothing is found which indicates at all definitely a molecular structure.We feel justified in concluding, therefore, that the structure of solid matter is not molecular.     

Gay On-Screen: The Relationship Between Exposure to Gay Characters on Television and Heterosexual Audiences' Endorsement of Gay Equality

The current study, grounded in the parasocial contact hypothesis, employed a survey of emerging adults to investigate the relationship between exposure to gay characters on television and heterosexuals' endorsement of gay equality. A positive relationship existed between exposure to on-screen gay characters and gay equality endorsement. The relationship was stronger for racial minority participants than for White participants, and for participants who had no or few interpersonal relationships with openly gay individuals than for participants who had more than three respective relationships. Results are discussed in terms of the parasocial contact hypothesis and television as an agent of social change.     

Cheating among elementary school children: A machine learning approach

Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean accuracy of 81.43%. Cheating was most strongly predicted by children's beliefs about the acceptability of cheating and the observed prevalence and frequency of peer cheating at school. These findings provide important insights about the early development of academic cheating, and how to promote academic integrity and limit cheating before it becomes entrenched. The present research demonstrates that machine learning can be effectively used to analyze developmental data.     

The Role of Career and Technical Education in Iowa Community Colleges

ABSTRACT

This scholarly paper describes and analyzes the role of career and technical education (CTE) in Iowa community colleges. Iowa's community colleges are doing a good job of responding to the changing workforce needs of the state and providing smooth career pathways. However, changes in the population and economy of the state will call for further changes in CTE programs. The distinctive characteristics of CTE in Iowa community colleges, the impact of community college CTE programs on the state's economy, the role of accountability, and the future implications for CTE in the state are discussed. Recommendations based on the results of the study include improving articulation agreements, increasing retention among at-risk students, and increasing collaboration among Iowa's 15 community colleges.     

Accelerating chronically unresponsive children to tier 3 instruction: what level of data is necessary to ensure selection accuracy?

Response-to-intervention (RTI) approaches to disability identification are meant to put an end to the so-called wait-to-fail requirement associated with IQ discrepancy. However, in an unfortunate irony, there is a group of children who wait to fail in RTI frameworks. That is, they must fail both general classroom instruction (Tier 1) and small-group intervention (Tier 2) before becoming eligible for the most intensive intervention (Tier 3). The purpose of this article was to determine how to predict accurately which at-risk children will be unresponsive to Tiers 1 and 2, thereby allowing unresponsive children to move directly from Tier 1 to Tier 3. As part of an efficacy study of a multitier RTI approach to prevention and identification of reading disabilities (RD), 129 first-grade children who were unresponsive to classroom reading instruction were randomly assigned to 14 weeks of small-group, Tier 2 intervention. Nonresponders to this instruction (n = 33) were identified using local norms on first-grade word identification fluency growth linked to a distal outcome of RD at the end of second grade. Logistic regression models were used to predict membership in responder and nonresponder groups. Predictors were entered as blocks of data from least to most difficult to obtain: universal screening data, Tier 1 response data, norm referenced tests, and Tier 2 response data. Tier 2 response data were not necessary to classify students as responders and nonresponders to Tier 2 instruction, suggesting that some children can be accurately identified as eligible for Tier 3 intervention using only Tier 1 data, thereby avoiding prolonged periods of failure to instruction.     

Two-stage screening for math problem-solving difficulty using dynamic assessment of algebraic learning

The purpose of this study was to explore the utility of a dynamic assessment (DA) of algebraic learning in predicting third graders' development of mathematics word-problem difficulty. In the fall, 122 third-grade students were assessed on a test of math word-problem skill and DA of algebraic learning. In the spring, they were assessed on word-problem performance. Logistic regression was conducted to contrast two models. One relied exclusively on the fall test of math word-problem skill to predict word-problem difficulty on the spring outcome (less than the 25th percentile). The second model relied on a combination of the fall test of math word-problem skill and the fall DA to predict the same outcome. Holding sensitivity at 87.5%, the universal screener alone resulted in a high proportion of false positives, which was practically reduced when DA was included in the prediction model. Findings are discussed in terms of a two-stage process for screening students within a responsiveness-to-intervention prevention model.