The Readability and Complexity of District-Provided School-Choice Information

Public school choice has become a common feature in American school districts. Any potential benefits that could be derived from these policies depend heavily on the ability of parents and students to make informed and educated decisions about their school options. We examined the readability and complexity of school-choice guides across a sample of large urban districts. These guides are intended to assist parents in learning about their child's options and to help them make informed decisions about schools. We found that none of the guides examined were written within the range considered appropriate for all adults to comprehend. In large urban districts where there are a large proportion of parents that have low levels of literacy, it is likely that many parents will have difficulty comprehending the information presented in the choice guides. We provide some simple steps that could be taken to improve readability of these guides.     

Measurement and Structural Model Class Separation in Mixture CFA: ML/EM Versus MCMC

Parameter recovery was assessed within mixture confirmatory factor analysis across multiple estimator conditions under different simulated levels of mixture class separation. Mixture class separation was defined in the measurement model (through factor loadings) and the structural model (through factor variances). Maximum likelihood (ML) via the EM algorithm was compared to a Markov chain Monte Carlo (MCMC) estimator condition using weak priors and a condition using tight priors. Results indicated that the MCMC weak condition produced the highest bias, particularly with a weak Dirichlet prior for the mixture class proportions. Specifically, the weak Dirichlet prior affected parameter estimates under all mixture class separation conditions, even with moderate and large sample sizes. With little knowledge about parameters, ML/EM should be used over MCMC weak. However, MCMC tight produced the lowest bias under all mixture class separation conditions and should be used if tight and accurate priors can be placed on parameters.     

Enhancing Alphabet Knowledge Instruction: Research Implications and Practical Strategies for Early Childhood Educators

Alphabet knowledge is consistently recognized as the strongest, most durable predictor of later literacy achievement. Recent research offers practical implications for increased effectiveness of teaching alphabet knowledge to young children. In this article, we outline Enhanced Alphabet Knowledge instruction (EAK), a method of practical instruction that early childhood teachers can use to organize, plan, and teach the essential skills of alphabet knowledge. EAK emphasizes identifying the letter name and sound, recognizing the letter in text, and producing the letter form, through flexible, distributed cycles of review based on factors that influence acquisition of alphabet knowledge.     

Assessing the Effectiveness of the Cognitive Interview for Children with Severe Intellectual Disabilities

We examined whether the cognitive interview (CI) procedure increased event recall in children with severe intellectual disabilities (ID) compared with children with no ID. Forty-six children with and without ID watched a videotaped event; they were aged between eight and 11 years. The next day they were individually interviewed using the CI or a structured interview (SI). Interviews consisted of free recall and specific questions, some of which contained leading or misleading information. The leading and misleading questions determined children’s susceptibility to information presented after the event. Overall, children without ID reported more correct information than children with ID. For all children, the CI led to more correct recall than the SI without increases in incorrect details or confabulations. Although the CI did not decrease children’s susceptibility to the misleading questions compared with the SI, children without ID disagreed with more of the misleading suggestions than children with ID. These results suggest that the CI may indeed be a valuable tool to elicit information from very vulnerable witnesses.     

Standardized Teacher Testing Fails Excellence and Validity Tests

This paper presents and critically analyzes data from a project that sought teacher candidates' responses to the process and content of the Ontario Teacher Qualifying Test (OTQT), a mandatory, standardized, pencil and paper initial teacher qualification test. The aim of the project, guided by a critical democratic perspective, was to critically assess the success of the OTQT in achieving the government's stated objectives of greater competency and accountability. More specifically, the paper focuses on findings relating to teacher competency, with particular reference to criterion, ecolological and consequential validity, and alternative assessment strategies. The teacher candidates' responses raise serious issues about the content and format of the test since they believe that it neither achieves accountability nor does it secure excellence in teaching. These concerns echo the major concerns found in the literature.     

User Agency,Technical Communication,and the 19th-Century Woman Bicyclist

This article considers how users employ extraorganizational technical communication to reshape technologies, both materially and symbolically, even after these technologies enter into common use. Specifically, I analyze how women bicyclists of the 1890s authored instructional materials to complicate gendered and classed assumptions about users implicit in manufacturer-produced texts. I argue that technical communicators, in their teaching and research, should consider the role that extraorganizational technical communication plays in generating vital and lasting cultural changes.     

TURNOVER INTENT IN AN URBAN COMMUNITY COLLEGE: STRATEGIES FOR FACULTY RETENTION

High rates of faculty turnover can be costly to the reputation of an institution and to the quality of instruction. Community colleges may expect high rates of faculty turnover as an aging workforce retires. Other sources of attrition, however, can be attributed to organizational characteristics and the structural properties of faculty work. This study examined non-retirement turnover intent in an urban community college. Specifically, the study utilized an expectancy theory framework to explore the relationship between turnover intent and faculty perceptions of autonomy, organizational support for innovation, and collegial communication. The study population included all full-time faculty members employed by an urban community college in the southeastern U.S. Survey responses from 66% (N = 149) of the invited population revealed that organizational support for innovation had the strongest effect on turnover intent. Faculty who reported higher levels of support for innovation were less likely to indicate intentions to leave. Findings suggest that community colleges can target innovation and organizational change as vehicles for enhancing faculty retention rates. Change initiatives related to curriculum, governance, and faculty development can be designed in ways that facilitate faculty commitment to the institution.     

Teacher-centered professionalism: a feminist perspective on supported access to digital knowledge

This qualitative study creates a case for teacher learning through increased access to digital knowledge and information made available through the Internet. I ask how reading environments, supported through online access to scholarly texts, might create intellectual engagement and transformative possibilities for teachers within their professional learning communities. This study is based on the experiences of six female teachers’ participation in a research project in a large urban center in Western Canada. Through individual and group interview data, I present three examples of how the teachers engaged in a discourse of social justice. This paper demonstrates the value of providing teachers with digital access to public knowledge through the Internet as a new and distinctive approach to teacher learning that can deepen understanding of the profession within a collective association of learning.     

Tuition Discounting to Optimize Enrollment and Revenue

As the borders between higher education systems continue to erode and competition for qualified students increases, many institutions are exploring variable pricing options, known in the USA as “tuition discounting.” The goal of tuition discounting is to use institutional funds to attract and retain desired students while maximizing net revenue to the institution. Recent changes in higher education funding and tuition structures in non‐US countries have led to interest in how to most effectively allocate institutional aid. This article outlines the basic concepts of tuition discounting, and shares insights for institutions that might be considering this option.