Author(s): |
Huang, Chiungjung |
Source: |
European Journal of Psychology of Education, v28 n1 p1-35 Mar 2013 |
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Pub Date: |
2013-03-00 |
Pub Type(s): |
Information Analyses; Journal Articles; Reports - Evaluative |
Peer Reviewed: |
Yes |
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Descriptors:
Self Efficacy; Social Sciences; Males; Effect Size; Gender Differences; Meta Analysis; Language Arts; Mathematics Skills; Age Differences; Research Needs; Longitudinal Studies; Incidence; Computer Literacy
Abstract:
A meta-analysis of 187 studies containing 247 independent studies (N = 68,429) on gender differences in academic self-efficacy identified an overall effect size of 0.08, with a small difference favoring males. Moderator analysis demonstrated that content domain was a significant moderator in explaining effect size variation. Females displayed higher language arts self-efficacy than males. Meanwhile, males exhibited higher mathematics, computer, and social sciences self-efficacy than females. Gender differences in academic self-efficacy also varied with age. The largest effect size occurred for respondents aged over 23 years old. For mathematics self-efficacy, the significant gender differences emerged in late adolescence. Future research should longitudinally examine gender differences in academic self-efficacy to determine the prevalence of gender differences during different life stages.
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Pub Date: |
2013-03-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Health Behavior; Smoking; Adolescents; Genetics; Drinking; Peer Influence; Biochemistry; Risk; Longitudinal Studies; Brain Hemisphere Functions; Guidelines; Incidence; Correlation
Abstract:
We investigate whether the serotonin transporter-linked polymorphic region ("5HTTLPR"), a gene associated with environmental sensitivity, moderates the association between smoking and drinking patterns at adolescents' schools and their corresponding risk for smoking and drinking themselves. Drawing on the school-based design of the National Longitudinal Study of Adolescent Health in conjunction with molecular genetic data for roughly 15,000 respondents (including over 2,000 sibling pairs), we show that adolescents smoke more cigarettes and consume more alcohol when attending schools with elevated rates of tobacco and alcohol use. More important, an individual's susceptibility to school-level patterns of smoking or drinking is conditional on the number of short alleles he or she has in "5HTTLPR". Overall, the findings demonstrate the utility of the differential susceptibility framework for medical sociology by suggesting that health behaviors reflect interactions between genetic factors and the prevalence of these behaviors in a person's context. (Contains 4 tables, 2 figures and 7 notes.)
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Author(s): |
Warren, Martin |
Source: |
English for Specific Purposes, v32 n1 p12-24 Jan 2013 |
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Pub Date: |
2013-01-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Electronic Mail; Language Styles; Comparative Analysis; Discourse Analysis; Literacy; Incidence; Languages for Special Purposes; Professional Occupations
Abstract:
E-mail communication in business and professional contexts has been analysed with a focus on textual and communicative complexity, stylistic conventions, and the relation between e-mails and professional culture. The purpose of the present study is to compare the professional literacy in two professions by studying the use of intertextuality in the e-mail messages two professionals read or wrote in a number of discourse flows. Intertextuality is examined in terms of types and directionality of use. The findings show that while the use of intertextuality is prevalent across all of the e-mails, the types of intertextuality, and their relative frequencies of use, and the directionality of intertextuality are influenced by profession-specific communicative contexts and goals. (Contains 2 tables.)
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Pub Date: |
2013-01-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Child Abuse; Child Welfare; Foreign Countries; Incidence; Child Neglect; Placement; American Indians; Caseworkers; Public Agencies; Statistical Analysis; Computer Software; Decision Making; Eskimos; Surveys; Comparative Analysis
Abstract:
Objective: Fluke et al. (2010) analyzed Canadian Incidence Study on Reported Child Abuse and Neglect (CIS) data collected in 1998 to explore the influence of clinical and organizational characteristics on the decision to place Aboriginal children in an out-of-home placement at the conclusion of a child maltreatment investigation. This study explores this same question using CIS data collected in 2003 which included a larger sample of Aboriginal children and First Nations child and family service agencies. Methods: The decision to place a child in an out-of-home placement was examined using data from the "Canadian Incidence Study of Reported Child Abuse and Neglect-2003" and a reanalysis of CIS-1998 data (Fluke et al., 2010). The CIS-2003 dataset includes information on nearly 12,000 child maltreatment investigations from the time of report to case disposition. The CIS-2003 also captures information on the characteristics of investigating workers and the child welfare organizations for which they work. Multi-level statistical models were developed to analyze the influence of clinical and organizational variables using MPlus software. MPlus allows the use of dichotomous outcome variables, which are more reflective of decision-making in child welfare and facilitates the specific case of the logistic link function for binary outcome variables under maximum likelihood estimation. Results: Final models revealed the proportion of investigations conducted by the child welfare agency involving Aboriginal children was a key single agency level predictor of the placement decision. Specifically, the higher the proportion of investigations of Aboriginal children, the more likely placement was to occur. Contrary to the findings in the first paper (Fluke et al., 2010), individual Aboriginal status also remained significant in the final model at the first level. Conclusions: Further analysis needs to be conducted to further understand individual and organizational level variables that may influence decisions regarding placement of Aboriginal children. There is also a need for research that is sensitive to differences among, and between, Metis, First Nations and Inuit communities. Results are not generalizable to Quebec because data from this province were excluded. (Contains 7 tables and 3 figures.)
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Pub Date: |
2013-01-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Child Abuse; Placement; Child Welfare; Foreign Countries; Incidence; Centralization; Canada Natives; American Indians; Public Agencies; Decision Making; Sampling; Hierarchical Linear Modeling; Computer Software; Databases
Abstract:
Objective: This paper builds upon the analyses presented in two companion papers (Fluke et al., 2010 and Fallon et al., 2013) using data from the 1998 and 2003 cycles of the "Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-1998 and CIS-2003)" to examine the influence of clinical and organizational characteristics on the decision to place a child in out-of-home care at the conclusion of a child maltreatment investigation. This paper explores various model specifications to explain the effect of an agency-level factor, proportion of Aboriginal reports, which emerged as a stable and significant factor through the two data collection cycles. It addresses the issue of data comparability between the two cycles and explores various re-specifications and descriptive analyses of reported models to evaluate their solidity with regards to the sampling schemes and the precise contribution of a multi-level specification. Methods: The decision to place a child in out-of-home care was examined using data from the "CIS-2003". This child welfare dataset collected information about the results of nearly 12,000 child maltreatment investigations as well as a description of the characteristics of the workers and organization responsible for conducting those investigations. Multi-level statistical models were developed using MPlus software, which can accommodate dichotomous outcome variables and are more reflective of decision-making in child welfare. The models are thus multi-level binary logistic regressions. Results: Final models revealed that two agency-level variables, "Education degree of majority of workers" and "Degree of centralization in the agency" clarify the nature of the effect of "Proportion of Aboriginal reports", a stable, key second level predictor of the placement decision. The comparability of the effect of this agency-level variable across the 1998 and 2003 cycles becomes further evident through this analysis. By using a unified database including both cycles and various specifications of models, the comparability was found to be robust, in addition to clarifying the precise contribution of a multi-level specification. Conclusions: This third paper in a series establishes the "Proportion of Aboriginal reports" received by the child welfare agency as an important agency level predictor associated with a child's likelihood of being placed in the Canadian child protection system. While the more complex models give support to the notion that unequal resources subtend those results, more analyses are needed to confirm this hypothesis. Unequal resources for agencies with larger Aboriginal caseloads may explain the persistence of the results. These findings suggest that specific resource constraints related to worker education may be explanatory. (Contains 6 tables and 5 figures.) [For Part A, see EJ995515.]
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Pub Date: |
2013-01-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Identification; Child Abuse; Risk; Foreign Countries; Gender Differences; Siblings; Child Health; Sexual Abuse; Urban Areas; Correlation; Incidence; Surveys; Prediction; Mothers; Age; Birth; Poverty; Mental Disorders; Prevention; Young Adults
Abstract:
Objectives: Exposure to child maltreatment is associated with physical, emotional, and social impairment, yet in Canada there is a paucity of community-based information about the extent of this problem and its determinants. We examined the prevalence of child physical and sexual abuse and the associations of child abuse with early contextual, family, and individual factors using a community-based sample in Ontario. Methods: The Ontario Child Health Study is a province-wide health survey of children aged 4 through 16 years. Conducted in 1983, a second wave was undertaken in 1987 and a third in 2000-2001. The third wave (N = 1,928) included questions about exposure to physical and sexual abuse in childhood. Results: Males reported significantly more child physical abuse (33.7%), but not severe physical abuse (21.5%), than females (28.2% and 18.3%, respectively). Females reported significantly more child sexual abuse (22.1%) than males (8.3%). Growing up in an urban area, young maternal age at the time of the first child's birth, and living in poverty, predicted child physical abuse (and the severe category), and sexual abuse. Childhood psychiatric disorder was associated with child physical abuse (and the severe category), while parental adversity was associated with child sexual abuse and severe physical abuse. Siblings of those who experienced either physical abuse or sexual abuse in childhood were at increased risk for the same abuse exposure; the risk was highest for physical abuse. Conclusions: These findings highlight important similarities and differences in risk factors for physical and sexual abuse in childhood. Such information is useful in considering approaches to prevention and early detection of child maltreatment. Clinicians who identify physical abuse or sexual abuse in children should be alert to the need to assess whether siblings have experienced similar exposures. This has important implications for assessment of other children in the home at the time of identification with the overall goal of reducing further occurrence of abuse. (Contains 4 tables and 1 figure.)
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Pub Date: |
2013-00-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Disabilities; Evidence; Outcome Measures; Emotional Disturbances; Response to Intervention; Reliability; Graduation Rate; Low Achievement; Interpersonal Relationship; Educational Legislation; Federal Legislation; Program Implementation; Learning Disabilities; Screening Tests; Outcomes of Treatment; Incidence; Rating Scales
Abstract:
Outcomes for students classified as emotionally disturbed (ED) are among the poorest for any disability group and include disturbingly low graduation rates, poor academic achievement, high rates of school suspensions and school dropouts, and chronic interpersonal problems. Additionally, these students are often underserved within the school setting with an overall prevalence rate of less than one percent. This underservice may be partially due to the definition of ED provided in the Individuals with Disabilities Education Improvement Act (IDEA, 2004), which is vague, contradictory, and redundant. Additionally, IDEA does not provide guidelines for how to assess for ED, thus, assessment procedures and prevalence rates widely differ by state. We propose the use of a Response to Intervention (RTI) model for the assessment and treatment of students with ED. Within an RTI model, students are provided evidence-based interventions implemented with integrity, and their response to these interventions is continuously monitored. This article defines RTI and describes methods of screening, assessment, treatment, and outcome evaluation for ED within the model.
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Author(s): |
Becker, Bernd |
Source: |
Behavioral & Social Sciences Librarian, v32 n1 p63-67 2013 |
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Pub Date: |
2013-00-00 |
Pub Type(s): |
Journal Articles; Reports - Descriptive |
Peer Reviewed: |
Yes |
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Descriptors:
Educational Technology; Electronic Learning; Learning Processes; Learning Activities; Data Collection; Study Habits; Cognitive Style; Student Behavior; Behavioral Science Research; Social Networks; Population Groups; Incidence; Time Perspective; Time on Task; Geographic Location; Library Research
Abstract:
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In learning analytics, "usage data" can refer to a wide range of information being produced by the observed population. The necessary tools and technology used to study learning analytics are starting to become simplified, allowing librarians to develop a better understanding of their students learning habits. Rather than analyzing college students' general learning behavior, learning analytics can provide insight into the learning styles or patterns of a specific subset of students. Within learning analytics, the "learning process is assessed more so than final learning outcomes." Therefore, learning analytics involves a redesign of assessment that traditionally focuses on outcomes. This in-process assessment draws its data from the daily learning activity of students within their social and informational networks. The author discusses three interactive components to be studied when collecting data for learning analytics: (1) timing; (2) location; and (3) population. It is important to note that there is a sense of immediacy to these components; current data are very valuable in regard to learning analytics and in-process assessment. The first step in collecting data is to investigate these components as they relate to a group of students. Ultimately, a big picture will begin to develop about the daily learning activity of students within their network of courses.
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