Predicting response to early reading intervention from verbal IQ, reading-related language abilities, attention ratings, and verbal IQ-word reading discrepancy: failure to validate discrepancy method

Additional analyses of a previously published study addressed three questions about growth in word reading during early reading intervention: (1) How well do Verbal IQ, reading-related language abilities (phonological, rapid naming, and orthographic), and attention ratings predict reading growth? (2) How well do language deficits predict reading growth? and (3) How well does Verbal IQ-word reading discrepancy predict reading growth? Univariate analyses showed that Verbal IQ, phonological skills, orthographic skills, rapid automatized naming (RAN), and attention ratings predicted the response to early intervention, but multivariate analyses based on a combination of predictors for real-word reading and pseudoword reading showed that Verbal IQ was not the best unique predictor. Students with double or triple deficits in language skills (RAN, phonological, and orthographic processing) responded more slowly to early intervention than students without language deficits. Verbal IQ-word reading discrepancy did not predict the response to early intervention in reading. Overall results supported the use of reading-related language and attention measures rather than IQ-achievement discrepancy in identifying candidates for early reading intervention.     

A comparison of the Rescorla-Wagner and Pearce models in a negative patterning and a summation problem

In two experiments, we examined two related conditioning problems previously investigated by Red-head and Pearce (1995a) and Pearce, Aydin, and Redhead (1997). Experiment 1 involved an A+, B+, C+, AB+, AC+, BC+, ABC2 discrimination. The Rescorla-Wagner model predicts that response to AB, AC, and BC will be greater than that to A, B, and C at asymptote, whereas the Pearce model makes the opposite prediction. In Experiment 2, we investigated the responding to a novel ABC compound in groups trained with either A+, B+, C+ or AB+, AC+, BC+. The Rescorla-Wagner model predicts greater response to ABC in the group trained with A+, B+, C+ than in the group trained with AB+, AC+, BC+, whereas the Pearce model makes the opposite prediction. In contrast to the findings of Redhead and Pearce (1995a) and Pearce et al. (1997) in pigeon autoshaping, our findings in rabbit eyelid conditioning support the Rescorla-Wagner model.     

Proactive interference in the retention of “attentional sets” in pigeons

In Experiment 1, six groups of pigeons (n=8) were tested for wavelength generalization either immediately or 24 h after learning a successive discrimination, with 550 nm reinforced and a black vertical line extinguished. The groups differed in the stimulus present during single stimulus pretraining, which was 550 nm (pretrain S+), the vertical Une (pretrain S?), or a neutral dim white light (pretrain Sn), respectively. The three immediate generalization gradients were steep and indistinguishable, reflecting only the immediately preceding discrimination training condition. The three delay gradients were flatter, with the flattening particularly marked in the pretrain S? group. This was interpreted as proactive interference (PI) resulting from the memory that both the 550-nm and the line stimuli had previously been reinforced. In Experiment 2, two (TD) groups of pigeons (n=16) were given single stimulus training with a 555-nm keylight followed by eight sessions of discrimination training with two line angles, then one session of non-differential (ND) training with the same two lines, and then a wavelength generalization test either immediately or after a 24-h delay. Two other (hold) groups (n=16) received similar training, except for the TD Une angle training sessions, in these hold groups, the wavelength gradient was flatter in a delayed test; in the TD groups it was steeper, indicating PI from the prior TD training. These two experiments suggest that the “attentional sets,” which purportedly result from TD and ND training, may fruitfully be viewed as target memories subject to the principles of interference theory.     

Who drops out from primary schools in China? Evidence from minority-concentrated rural areas

One of the Millennium Development Goals is to ensure universal access to primary education by 2015. However, primary school dropout remains a challenge in many developing countries. While official statistics in China report aggregated primary school dropout of only 0.2 %, almost no independent, survey-based studies have sought to verify these dropout rates in rural areas. The primary objective of our study is to document the dropout rate in primary schools in rural China and compare the dropout rate of ethnic minorities and Han students. Using a first-hand dataset of 14,761 primary students in northwest China, we demonstrate that the annual dropout rate in poor rural areas is 2.5 %, suggesting a cumulative dropout of 8.2 %. Importantly, Hui and Salar minority students drop out at rates that are significantly higher than the official rates. Most noteworthy, 23 % of Hui girls and 22 % of Salar girls are dropping out by the end of grade 6. Our findings call for more attention to China’s primary school dropout issue—especially in minority areas. Policymakers should begin to examine new ways to increase the chances for minority students to succeed in the educational system.     

ENTERPRISE AWARENESS IN TEACHER EDUCATION (EATE)

This paper sets out the rationale underpinning the setting up, delivery and evaluation of a major initiative in initial teacher education. The purpose of Enterprise Awareness in Teacher Education (EATE) is to incorporate enterprise, economic and industrial issues into all initial courses for trainee teachers. This is facilitated through an extensive programme of staff development. The article then goes on to record the processes and thinking behind one level of the evaluation of the initiative which has been incorporated into individual developments in institutions from the outset     

Economic stress, parenting, and child adjustment in Mexican American and European American families

To assess the impact of economic hardship on 111 European American and 167 Mexican American families and their 5th-grade (M age=11.4 years) children, a family stress model was evaluated. Structural equation analyses revealed that economic hardship was linked to indexes of economic pressure that were related to depressive symptoms for mothers and fathers of both ethnicities. Depressive symptoms were linked to marital problems and hostile parenting. Paternal hostile parenting was related to child adjustment problems for European Americans, whereas marital problems were linked to child adjustment problems for Mexican Americans. Maternal acculturation was associated with both higher marital problems and lower hostile parenting. The utility of the model for describing the effects of economic hardship in Mexican Americans is noted.     

Leading with intent: cultivating community conversation to create shared understanding

School improvement is a central focus for school leaders. Whilst measures such as high-stakes testing and other government accountability agendas have at times marred the discourse of school improvement, how schools develop their capacity to ultimately improve the core business of student learning remains important. As an extensive area of scholarship, much has been written to support leaders in improving learning and teaching in their school. Indeed, studies demonstrate the value of establishing schoolwide goals and expectations and the importance of using evidence to improve teaching practice. This article presents qualitative data from 4 independent schools in the state of New South Wales (NSW) Australia which suggest that whilst the concept of school improvement is not new, the capacity of schools to embrace some key concepts found in this area of study is limited. The article proposes that through cultivating conversations within their communities, schools can foster shared understanding and enhance their capacity for improvement.     

Two teacher quality measures and the role of context: evidence from Chile

This research examines empirically the relationship between two measures of teacher quality: one based on professional standards and a second one using teacher value-added estimates. It also studies the extent to which teacher observable characteristics, such as teacher training variables, are associated to better performance on either of these measures and whether any of these two assessments is able to effectively measure teacher quality isolated from the effect of the context where teachers work. Context in this article is defined as any variable that is not under the direct control of the teacher but plays an important role on student learning and we believe is captured by school and municipal variables. The study uses hierarchical linear models and information from national and standardized assessments from Chile, specifically from the municipal education sector. Results show a small correlation between the two measures of teacher quality, in the lower end of results from previous studies conducted in the USA, and suggest that there is only a limited relationship between both measures of teacher quality. Teacher initial education type and professional development were statistically associated only to the standard-based measure of teacher quality. Context (both the school and municipal levels) plays an important role in the teacher effect measure, and in the standard-based measures, therefore, we conclude that neither of these measures are context-free. We expect that these results will contribute to the discussion about how to best measure teacher quality and how to evaluate teacher performance both in Chile and other parts of the world.