Cluster analysis of children and adolescents with brain damage and learning disabilities using neuropsychological, psychoeducational, and sociobehavioral variables.

The purpose of the study was to employ psychoeducational, neuropsychological, and sociobehavioral (Conners Rating Scale) variables in determining if definable subtypes exist within a diverse population of subjects with learning disabilities (LD) and documented brain damage. The sample of 95 subjects (27% female and 73% male) had been referred for neuropsychological assessment at a large, Midwestern medical center. Mean age was 10.6 years. Brain damage (BD) was documented for 45% of the sample. The first cluster analysis employed neuropsychological, psychoeducational, and sociobehavioral data and revealed four interpretable clusters. A second cluster analysis excluded sociobehavioral data and yielded two interpretable clusters. In neither analysis did a cluster consist exclusively of BD or LD subjects. Results were interpreted as supporting the importance of the sociobehavioral component in LD subtyping, as well as supporting the contention that parallels may exist in cerebral function and/or structure between the LD and BD classifications.     

高沸醇木质素残留糖分的分析

采用DNS(3，5-二硝基水杨酸)比色法与直接滴定法测定高沸醇木质素中残留糖分的含量。这两种分析方法的可靠性通过测试已知残留糖含量的木质素磺酸钙试样得到证实。实验结果表明，上述两种方法所测得的同类高沸醇木质素中的含糖量基本相同。不同高沸醇木质素的含糖量分别为：松木木质素5．47％、杉木木质素4．10％、稻草木质素5．12％、芒秆木质素6．68％、花生壳木质素6．81％、麦秆木质素4．78％、毛竹木质素4．73％。     

Analysis and assessment of the Jordan National Test for Controlling the Quality of Science Instruction (NTCQSI): a Rasch measurement perspective

The purpose of this study was to analyze and assess the Jordan National Test for Controlling the Quality of Science Instruction (NTCQSI) from the perspective provided by Rasch measurement. The test was administered on a stratified random sample that consisted of 41,556 tenth graders from all over Jordan. The test results were saved in a data bank. A random sample of 150 participants' records was selected from this data bank. To address the purpose of this study, a series of analyses were conducted. WINSTEPS and RUMM programs were used for the analysis. The procedures that were used in this paper might be used by worldwide testing agencies to clarify or outline how Rasch measurement may be used to obtain evidence for the validity of inferences of tests data.     

Can self-report data on deficits in reading and spelling predict spelling disability as defined by psychometric tests?

Questionnaire data concerning spelling and reading self-assessment, habits, and school history were obtained for 79 adults (54 women and 25 men). The items were used to predict affectedness as defined on the basis of psychometric tests. For this purpose, two different discriminant analytical approaches (linear discriminant analysis and hierarchical classification with CART) were compared using a cross-validation design. 86.8–92.6% of the learning sample and 87.5–88% of the cross-validation sample were classified correctly. The CART model was preferred due to a balanced relation of sensitivity and specificity. Our results support the conclusion that self-report data are appropriate to substitute psychometric tests if these cannot be administered.     

Individualized Instruction: Extent of Use and Model for Assessing Effectiveness in Community Colleges/Technical Institutes

Abstract

Purposes of the study were to (1) determine the extent to which occupational education instructors in postsecondary institutions in North Carolina used individualized instruction; and to (2) develop a model, evaluative measures, and guidelines for use in assessing individualized instruction approaches. An Individualized Instruction Inventory was designed to determine demographic data, practices, and attitudes of occupational education instructors. The sample consisted of instructors who had rated themselves as moderately to highly individualizing instruction. Inventories were returned by 77% of the 354 instructors in the sample. A discriminant analysis was used to determine demographic variables that differentiated (1) between instructors with high and low attitude scores; and (2) among instructors with high, average, and low practice scores. The four components of the model developed were (1) delineate information, (2) plan for data collection, (3) obtain information, and (4) provide information for decision making. Tasks to be completed within each phase were specified, and guidelines for use of the model were written. Evaluative measures appropriate for collecting the desired data were either selected or developed.     

Are teachers’ approaches to teaching responsive to individual student variation? A two-level structural equation modeling

In the framework of teacher’s approaches to teaching, this study investigates the relationship between student-related variables (i.e., study time, class absence, domain knowledge, and homework completion), students’ approaches to learning, and teachers’ approaches to teaching using structural equation modeling (SEM) with two independent data samples. The participants were 61 biology teachers and their corresponding 1,518 high school students (12th grade). The first sample was used to fit the model, and the second sample was used to analyze the consistency of the data derived from the first sample. Using a two-level SEM analysis, we established whether the effects found at the individual level varied significantly at class level. The students’ approaches to learning were related to the teachers’ approaches to teaching as a function of the hypotheses established in the model, although the effect size was smaller than expected. However, approximately 48 % of the variance of the surface approach and 46 % of the deep approach sat at class level. At the individual level, the results of this study suggest that students’ approaches to learning significantly explain their teachers’ approaches to teaching and, thus, constitute important contextual variables. At the class level, the way students learn appears to be closely associated with class-related variables. Our data stresses the importance of promoting educational opportunities (e.g., school-based courses) for teachers to reflect upon the teaching methodologies used in class.     

Validity of school history as a diagnostic criterion for reading disability

In order to assess the validity of school history information as a diagnostic criterion for reading disability, reading performance data from 304 children with a positive history for reading problems were compared to those from 319 children with a negative school history. These children are members of twin pairs who are participants in the Colorado Reading Project (DeFries 1985). A multivariate analysis of variance of Reading Recognition, Reading Comprehension, and Spelling subtest scores from the Peabody Individual Achievement Test (Dunn and Markwardt 1970) yielded a highly significant (p <0.001) difference between groups for both the multivariate and univariate comparisons. The difference between the unweighted mean scores of the school-history positive and negative groups for Reading Recognition was 2.1 standard deviations. Moreover, when discriminant weights estimated from an independent sample of 140 reading-disabled and 140 control nontwin children were used to reclassify the sample of twins, 75% of those with a positive history for reading problems were classified as being reading disabled and 95% of those with a negative history were classified as unaffected. Thus, results of this study establish the validity of school history information and suggest that such information may have considerable utility for ascertaining samples of reading-disabled children.     

Confronting Analytical Dilemmas for Understanding Complex Human Interactions in Design-Based Research From a Cultural—Historical Activity Theory (CHAT) Framework

Understanding human activity in real-world situations often involves complicated data collection, analysis, and presentation methods. This article discusses how Cultural-Historical Activity Theory (CHAT) can inform design-based research practices that focus on understanding activity in real-world situations. I provide a sample data set with activity systems analyses of a yearlong teacher professional development program designed to foster technology integration into rural Indiana schools. I present the analytical dilemmas I faced while maintaining trustworthiness in the qualitative data analysis. Through the sample data analysis, I demonstrate how the school-wide technology reform initiative affected and was affected by classroom-based teacher technology implementation projects. Additionally, I introduce the theoretical findings from the data analyses that contribute to further development in activity systems analysis.     

Test anxiety prevalence and gender differences in a sample of English secondary school students

The aim of this study was to estimate the proportion of students who report themselves as highly test anxious in a sample of English secondary schools and whether this proportion differed by gender. Self-report test anxiety data were collected from 2435 secondary school students in 11 schools. Results showed that 16.4% of the sample reported themselves to be highly test anxious, with the proportion significantly higher in female students (22.5%) than male students (10.3%). Moderate gender differences were present in the worry and tension components of test anxiety and small differences in the social derogation component. While not all highly test anxious students might be at risk of underperformance and disengagement from school and academic activities, there may still be a sizable group of students who would benefit from specific support and intervention.     

Genetic Influences on Perceptions of Childhood Family Environment: A Reared Apart Twin Study

This study estimates the extent to which heredity influences perceptions of childhood family environment in a sample of 58 monozygotic and 46 dizygotic pairs of adult twins who were reared apart. The measures used to assess family environments were the Family Environment Scale (FES) and Block Environmental Questionnaire (BEQ). A principal component factor analysis with a VARIMAX rotation of the FES and BEQ yielded 2 major factors—Support, and Organization and Cultural Orientation. Single and multiple indicator model-fitting techniques were applied to the reared apart twin data on the 2 factors. Perceived support in childhood family environments was fitted best by a model incorporating additive genetic and unshared environmental factors. Perceived organization was fitted most adequately by a model which includes only unshared environmental factors. Maximum-likelihood estimates of heritability from model-fitting analyses suggest that genetic factors explain 44% of the variance of perceptions of support dimension in childhood family environments.     

Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)

This study examines the major factors that may hinder or enable the adoption of e-learning systems by university students in developing (Qatar) as well as developed (USA) countries. To this end, we used extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with Trust as an external variable. By means of an online survey, data were collected from 833 university students from a university in Qatar and another from USA. Structural equation modelling was employed as the main method of analysis in this study. The results show that performance expectancy, hedonic motivation, habit and trust are significant predictors of behavioural intention (BI) in both samples. However, contrary to our expectation, the relationship between price value and BI is insignificant. Our results also show that effort expectancy and social influence lead to an increase in students’ adoption of e-learning systems in developing countries but not in developed countries. Moreover, facilitating conditions increase e-learning adoption in developed countries which is not the case in developing countries. Overall, the proposed model achieves an acceptable fit and explains its variance for 68% of the Qatari sample and 63% of the USA sample. These results and their implications to both theory and practice are described.     

Hierarchical Models of Social Competence in Preschool Children: A Multisite,Multinational Study

The generality of a multilevel factorial model of social competence (SC) for preschool children was tested in a 5‐group, multinational sample (N = 1,540) using confirmatory factor analysis. The model fits the observed data well, and tests constraining paths for measured variables to their respective first‐order factors across samples also fit well. Equivalence of measurement models was found at sample and sex within‐sample levels but not for age within sample. In 2 groups, teachers’ ratings were examined as correlates of SC indicators. Composites of SC indicators were significantly associated with both positive and negative child attributes from the teachers’ ratings. The findings contribute to understanding of both methodological and substantive issues concerning SC in young children.     

A scale for home visiting nurses to identify risks of physical abuse and neglect among mothers with newborn infants

OBJECTIVE: The aim was to construct and test the reliability (utility, internal consistency, interrater agreement) and the validity (internal validity, concurrent validity) of a scale for home visiting social nurses to identify risks of physical abuse and neglect in mothers with a newborn child. METHOD: A 71-item scale was constructed based on a literature review and focus group sessions with social nurses and paraprofessionals who had experience with underprivileged families. This scale was applied in a random sample of 40 home visiting social nurses, who collected data in a sample of 373 nonabusive and 18 abusive/neglectful mothers with a newborn child. RESULTS: Items with prevalence rates below 5% and items making no significant difference between maltreating and non-maltreating mothers were omitted. The final version contained 20 items. This scale showed high internal consistency (alpha = .92) and high interrater reliability (r = .97). Exploratory factor analysis yielded a three-factor solution: Isolation (8 items, explaining 62.17% of the common variance), Psychological complexity (6 items, 18.86%), and Communication problems (6 items, 8.41%). Scores on Communication problems and Isolation significantly predicted scores on a social deprivation scale, which significantly distinguished maltreating from non-maltreating mothers. Mothers scoring high on Communication problems or Isolation obtained higher scores for social deprivation than low-scoring mothers. CONCLUSIONS: Home visiting nurses can identify risks for physical abuse and neglect among mothers with a newborn infant by focusing on signs of social isolation, distorted communication and psychological problems.     

Exploring the underlying factor structure of the home literacy environment (HLE) in the English and Spanish versions of the Familia Inventory: A cautionary tale

Few research-based measures of the family literacy environment are commercially available, especially in Spanish. One exception is the Familia Inventory (Taylor, 1995). The present study investigated the 10 subscales of this instrument and the factor structure they imply, using data from a low-socioeconomic (SES), largely Hispanic population. Confirmatory factor analysis (CFA) was used to test the structure of the instrument as well as whether it is invariant across English and Spanish language versions. The scale was administered to 232 parents of preschoolers. Results of the CFA revealed that the a priori dimensions of the Familia Inventory were not supported for this sample. Follow-up analyses suggested poor fit both within and between subscales. The scale fit poorly within both English and Spanish, precluding testing of invariance across language. Supplemental analyses using exploratory factor analysis (EFA) on a subset of the items that had adequate variance suggested that a four-factor solution accounting for 53% of the variance best represented the English data and that a two-factor solution accounting for 43% of the variance best represented the Spanish data. Implications are discussed.     

Sex differences on the WISC-R for retarded children and youth

This study investigated sex differences on the WISC-R subtests for retarded males and females who were matched in terms of WISC-R Full Scale IQs. The sample consisted of 126 children and youth (63 females, 63 males) ranging in chronological age from 7–3 to 8–3, with a mean CA of 7–8. Each subject was matched in terms of Full Scale IQ score. A 2 × 10 analysis of variance with repeated measures on a single factor was used to analyze the data. Students' T and Fisher's F ratios were calculated, and differences between subtest means were analyzed by Newman-Keuls test for sample effects. Evidence from the investigation indicated that a significant interaction effect existed between sex and subtest scores.     

Resilience in Families Caring for a Family Member Diagnosed with Dementia

The aim of this study was to identify and explore factors associated with family resilience in families caring for a demented family member. A mixed-methods approach was utilized to collect data from a convenience sample of spouses acting as primary caregivers of patients and living in the Cape Metropolitan area of the Western Cape, South Africa. The sample was comprised of families in which a spouse (n = 44) was caring for a partner with dementia. The quantitative data analysis was conducted using analyses of variance, Pearson's product-moment correlation coefficients, and a best-subsets multiple regression analysis. Qualitative data were analyzed using thematic content analysis. It was found that social support, positive communication patterns, acceptance, optimism, family hardiness, family connectedness, and the effective management of symptoms facilitated the resilience process in these families. In addition to expanding the current literature regarding family resilience, the findings of this study could be used to develop interventions tailored to the needs of these families caring for dementia patients to create a family environment that enhances adjustment and adaptation.     

高等职业院校办学规模效益综合评价——基于江苏省高等职业院校的数据分析

通过应用多投入产出综合有效性评价的数据包络分析(DEA)模型,对江苏省高等职业院校办学规模效益的综合有效性进行实证分析,研究表明,继续增加对高等职业教育的投入,特别是开展绩效投入将有利于江苏省高等职业教育的健康可持续发展。最佳规模效益院校的平均在校生为12600人,控制高等职业院校的数量,保证在校生的一定数量规模,对于提高高职院校的办学效益至关重要。     

Patterns of response to an approaches to studying inventory across contrasting groups and contexts

The development of the Approaches and Study Skills Inventory for Students (ASSIST) is reported, which incorporates a revised version of the Approaches to Studying Inventory. This questionnaire was completed by three separate samples; 1284 mainly first-year students from six British universities, 466 first-year students from a Scottish technological university; and 219 students from a ‘historically disadvantaged” South African university. Analyses of these data were designed to explore the patterns of response found in sub-groups which varied in terms of their levels of attainment and contexts. Maximum likelihood analysis of the largest sample confirmed the expected three factors of deep, surface apathetic, and strategic approaches to studying, and almost identical patterns were also found in the other two samples, and in students having contrasting levels of attainment. There were, however, some interesting minor differences in the South African sample. K-means relocation cluster analysis was then carried out on the largest sample and produced clusters with generally coherent patterns of response. However, one persistent low attainment cluster showed unexpected, dissonant patterns of response, combining moderately high scores on the sub-scales of both deep and surface apathetic approaches, associated with low scores on the strategic approach.