The RIX Wiki: the use of multimedia advocacy to support person-centred planning in a special needs secondary school – implications for current policy and practice

The article documents findings from a pilot study undertaken in 2012–2013 in a special needs secondary school in the England, that trialled the use of a multimedia advocacy tool, “The RIX Wiki”. The trial was part of the pathfinder programme, which aimed to reform existing Special Education Needs provision, from the system of statementing to one of developing education health care plans. The reforms became enshrined in the Children and Families Act (2014). The findings were overall positive and helped with person-centred planning processes. The discussion is framed within current and future policy directives. We argue that multimedia advocacy approaches and software tools, like the “RIX Wiki” will have a continued role to play in ensuring the needs, aspirations and choices of children and young people with learning disabilities remain central.     

Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels

There have been many conflicting observations between the linear or curvilinear decline in maximal heart rate (HR_max) with age. The aim of this study was to determine if linear or curvilinear equations would better describe the decline in HR_max with age in individuals of differing cardiorespiratory fitness (CRF) levels. Treadmill cardiopulmonary exercise test (CPX) results from participants (1510 men and 1134 women; 18–76 years) free of overt cardiovascular disease were retrospectively examined using cross-sectional and longitudinal study designs. Participants completing ≥2 CPX with ≥1 year between test dates were included in the longitudinal analysis (325 men and 150 women). Linear and quadratic regressions were applied to age and HR_max for the whole cohort and respective CRF groups (high, moderate, and low, relative to age and gender normative values). To test for differences among linear, quadratic, and polynomial equations, the change in R² (cross-sectional analysis) and Bayesian information criterion (BIC) (longitudinal analysis) from the linear to the more complex models were calculated. The quadratic or polynomial regression in the cross-sectional analysis, marginally improved the variance in HR_max explained by age compared to the linear regression for the whole cohort (0.2%), moderate fit group (0.3%), and low fit group (0.8%). With no improvements in the high fit group. BIC did not improve for any CRF category in the longitudinal analysis. In conclusion, the minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HR_max.     

Pastoral care,juvenile justice and the welfare network

This article considers the involvement of schools and teachers in schemes which develop work with young offenders as an alternative to prosecution. Data from one such experimental scheme are presented and discussed. Issues are raised about the consequences of schools’ involvement in this kind of policy initiative which begins outside the educational system and entails co‐operation with professional workers in other statutory agencies. A central theme is whether a tightening of the welfare network in this way is unambiguously in the interests of young people.     

“Ah,I know why…”: children developing understandings through engaging with a picture book

This article describes part of a study that explored the responses of nine‐ and ten‐year‐old children during a picturebook read aloud in a small group setting in a New Zealand classroom. The read aloud was interactive, where the participants were encouraged to respond to the book and to each other throughout the session. The authors created a framework for analysing the responses, adapting the model of Lawrence Sipe (2008) with its five categories of literary understanding, by expanding on the analytical category to enable a finer analysis of the responses. This article discusses the children's depth of thinking and the understandings they developed as they engaged with the read aloud. It also describes how the adapted framework allowed a closer analysis of these understandings, including the way the elements of art used in the illustrations contributed to the children's ideas. The findings suggest ways picturebooks can be used to promote children's thinking and how teachers can guide discussion about a complex text. Implications for use of the framework in further research are discussed.     

Relationship of executive functioning and memory to autism symptomology and adaptive functioning: Implications for reducing future underemployment

Understanding the relationship between executive functioning and its connection to working memory and adaptive functioning can inform planning and employment efforts. This study explored the relationship between memory and adaptive functioning with a sample of Autistic youths/young adults. Participant mean age was 21.3 (SD = 3.0). Of the 22 participants, 17 were male, and 19 white, non-Hispanic/Latina/o/x. All but one lived with their parent(s). Participants were administered a full battery assessing cognitive ability (WAIS-IV), memory and executive functioning (WMS-IV and DKEFS), autism symptomatology (ADOS-II), and adaptive functioning (SIB-R). A multivariate lasso regression model was used. Memory, especially as measured on the WMS-IV, was found to be significantly related to adaptive functioning and autism symptomatology. There appears to be continuing evidence that memory is highly related to adaptive functioning and autism symptomatology. Interventions involving auditory and immediate memory could be helpful in promoting more mutually effective social interactions necessary for positive employment outcomes.     

Precursors to Policy Innovation: How Tennessee Entered Race to the Top

This article examines the education policy environment in Tennessee that preceded a comprehensive reform bill enacted to enhance the state's Race to the Top application. Through interviews with key policymakers in Tennessee, I describe how recent reform efforts undertaken at the state level positioned Tennessee as a strong contender for the Race to the Top funding. My analysis is framed by Mazzoni's (1991) conceptualization of precursors to policy innovation, and my findings reframe this theory to include an additional stimulus for major change. In doing so, I renew attention to education policymaking initiated at the state level and offer an expanded explanation for the political context that precipitates innovation.     

Confirming the Factor Structure of the Cognitive Test Anxiety Scale: Comparing the Utility of Three Solutions

This study validated the factor structure of a popular assessment of learner's cognitive test anxiety. Following recent findings in a study with Argentinean students' use of the Spanish version of the Cognitive Test Anxiety Scale (CTAS), this study tested the factor structure using data from 742 students who completed the original English version in the United States. Comparison of three confirmatory factor analyses confirmed the prior finding that reverse-coded items included in the original CTAS produced a second factor that did not add to the model fit for the CTAS. In addition, the results identified that a reduced length (17-item) version of the CTAS that removed all reverse-coded items was preferable to the two-factor solution for the full scale. Implications for assessment of test anxiety as well as the use of reverse-coded items in self-report survey research are discussed.     

Estimation of MIMIC Model Parameters with Multilevel Data

The purpose of this simulation study was to assess the performance of latent variable models that take into account the complex sampling mechanism that often underlies data used in educational, psychological, and other social science research. Analyses were conducted using the multiple indicator multiple cause (MIMIC) model, which is a flexible and effective tool for relating observed and latent variables. The data were simulated in a hierarchical framework (e.g., individuals nested in schools) so that a multilevel modeling approach would be appropriate. Analyses were conducted accounting for and not accounting for the nested data to determine the impact of ignoring such multilevel data structures in full structural equation models. Results highlight the differences in modeling results when the analytic strategy is congruent with the data structure and what occurs when this congruency is absent. Type I error rates and power for the standard and multilevel methods were similar for within-cluster variables and for the multilevel model with between-cluster variables. However, Type I error rates were inflated for the standard approach when modeling between-cluster variables.