The individual growth model is a relatively new statistical technique. It is now widely used to examine the trajectories of individuals and groups in repeated measures data. This study examines the association of the receptive vocabulary over time and characteristics of children who were treated for brain tumors. The children undertook different types of treatment from one to any combinations of surgery, radiation and chemotherapy. The individual growth model is used to analyze the longitudinal data and to address the issues behind the data. Results of this study present several factors' influences to the rate of change of PPVT scores. The conclusions of this thesis indicate that the decline in the PPVT scores is associated with gender, age at diagnosis, socioeconomic status, type of treatment and Neurological Predictor Scale.

Thesis (M.Ed.)--Cleveland State University, 2010. / Abstract. Title from PDF t.p. (viewed on April 27, 2010). Includes bibliographical references (p. 37-41). Available online via the OhioLINK ETD Center and also available in print.

No description available.

This work is specialized on long - term monitoring, putting down and evaluationing parameters of bodily growth on instances of individual-growth waveforms in a group of children. For experimental part of this work was provided childrens metering, both sex, on four primary schools in České Budějovice and in the surrounding. Data were extracted in terms of research in years 1997- 2006. In the scope of my diploma work I took the part in this metering in years 2004 - 2006. Repeatedly was observed a group of 110 children, from that 52 boys and 58 girls. The measuring was concerned with 29 somatometrics characteristics, three of these were chosen and are the basis of this work. They are its stature, height in sitting and iliospinale spot level - longitude of upper limb.

Although early mathematics instruction is predictive of future mathematics achievement, the effects of STEM-based mathematics instruction on mathematics gains in elementary school have been largely unexplored. The purpose of this quantitative study was to determine whether mathematics scores from third grade student state-mandated standardized mathematics test differ between students who were enrolled in STEM schools and students who were enrolled in non-STEM schools in the largest school district located in a Southwestern state in the United States. Polya's problem-solving heuristics formed the theoretical framework because of their relevance to concepts on the third grade mathematics test. Two research questions focused on intraindividual changes and interindividual changes over time in standardized mathematics test scores of third grade students who were enrolled in 18 STEM and 18 non-STEM schools. Analyses included growth curve modeling and a one-way random effect ANOVA to determine individual growth trajectories of mathematics test scores from individual schools over time from 2012 through 2017. The results indicated that there were no intraindividual differences in growth over time within schools, and there were interindividual changes in growth over time between schools, but the changes could not be explained by the independent variables, STEM and non-STEM schools. Findings were not consistent with the literature, which indicated early STEM-based mathematics instruction is more beneficial than traditional instruction. This study offers implications for positive social change by demonstrating equivalent results of STEM to non-STEM instruction, which may encourage more hands-on, inquiry-based learning for all children.

This thesis describes how life history characteristics of the varnish clam (Nuttallia obscurata), and interactions with the physical environment and other species, have contributed to its successful invasion in coastal British Columbia. Lab and field experiments were conducted to investigate varnish clam larval ecology (i.e. larval rearing experiments), adult population dynamics (i.e. annual population surveys, mark-recapture and length-frequency analysis, growth modeling) and ecological interactions with native species (i.e. predator/prey preference feeding trials). Using these results, a matrix demographic model was developed to determine which life history stage contributes the most to varnish clam population growth. Larval rearing experiments indicated that temperature and salinity tolerances of varnish clam larvae are comparable to native species, however the planktonic phase is slightly longer (3-8 weeks). Based on local oceanographic circulation, varnish clam larvae have the potential to disperse throughout their entire geographic range in just one reproductive season. Varnish clam population surveys revealed spatiotemporal variation in density and size. No relationships were evident between varnish clam density and the number or density of co-occurring bivalve species. Length-frequency analysis suggested that recruitment varies among sites, with high post-settlement mortality coinciding with high recruitment. The presence of similar recruitment pulses at geographically separate sites indicates regional scale processes may influence recruitment. Individual growth rates iii varied among sites, with higher growth corresponding to lower population densities and water temperature. Monthly survival rates ranged from 0.81 – 0.99 and were lower for clams 10-30 mm. Predator/prey preference feeding trials showed that crabs prefer varnish clams to local species when clam burial depth is limited. Crabs therefore have the potential to influence varnish clam distributions, particularly on beaches where the varnish clam is unable to bury deeply. Based on matrix demographic analysis, adult survival (e.g. clams ≥ 40 mm) is the most crucial factor for varnish clam population growth, and drives the observed population growth differences between sites. This study of the varnish clam invasion demonstrates that its success lies in both species (e.g. lengthy planktonic phase, high survival) and regional (e.g. favourable ocean circulation patterns for rapid dispersal) characteristics. Measures to reduce introductions should be targeted in areas where introductions are likely to have the furthest reaching impacts.