Profile analysis of standardized intelligence test performance of very high IQ children

Practitioners are frequently faced with the need to evaluate the intellectual skills of individuals with very high levels of functioning. Due to the statistical rarity of these persons, few tests have sufficient range of scores for a detailed analysis of intraindividual differences in performance. This paper describes a method using age equivalents and standard scores to recreate the full range of variability in the scores of high-functioning individuals. The method allows for a more complete interpretation of performance that can lead to better educational and therapeutic programming.     

The cultural value of heritage: evidence from the Heritage Lottery Fund

The Heritage Lottery Fund has, over the past 13 years, given £4billion to heritage projects of all kinds. As the Fund has matured a greater emphasis has been placed on the evaluation of the social and economic outcomes of this funding. In 2004 we reported on progress with evaluation of the programmes targeted at particular types of heritage (Clark, 2004 Clark, K. 2004. Why fund heritage? The role of research in the Heritage Lottery Fund. Cultural Trends, 52: 65–85.  [Google Scholar]). The greater challenge has been to evaluate the outcomes from the Fund's generic programmes, which can fund any type of heritage and which between them account for over two-thirds of total funding. This article reviews the Fund's experience over the last 3 years in developing and implementing an evaluation system using the Public (or Cultural) Value framework. It presents some initial results from the research so far completed and reviews how far the framework has been useful in suggesting research priorities and organizing findings.     

The effect of acceleration signal processing for head impact numeric simulations

Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modeling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8–30g) and rotational measures (1000–4000 rad/s²), but little effect on the finite element strain result (approximately 2–6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.     

Psychometric Properties of a Parental Questionnaire for Assessing Correlates of Toddlers’ Physical Activity and Sedentary Behavior

This study examined the psychometric properties of a questionnaire developed with the guidance of the socialization model of child behaviour to understand modifiable correlates of toddlers’ physical activity and sedentary behaviour. Findings are based on 118 parents (33.7 ± 4.9 years; 86% female) of toddlers (19.3 ± 2.7 months; 48% female) from Edmonton, Canada in The Parents’ Role in Establishing healthy Physical activity and Sedentary behaviour habits study (PREPS). The PREPS questionnaire encompassed 21 variables across the constructs of the socialization model of child behaviour. Of the nine variables assessed for internal consistency reliability, eight had good (α ≥ 0.70) reliability. Of the 15 continuous variables assessed for 1-week test–retest reliability, 10 had moderate (intra-class correlation = 0.50–0.74) and 5 had good (intra-class correlation ≥ 0.75) reliability. Of the six categorical variables assessed for 1-week test–retest reliability, two had fair (К = 0.21–0.40), one had moderate (К = 0.41–0.60), one had substantial (К = 0.61–0.80), and two had almost perfect (К = 0.81–1.00) reliability. Of the 12 sedentary behaviour variables assessed for convergent validity, 7 were significantly correlated with children’s screen time, of which three were small (r ≤ 0.29), two were medium (r = 0.30–0.49), and two were large (r ≥ 0.50) effect sizes.