1,266 research outputs found

    Gender Differences in Cooperative Learning with University Students

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    Differences in achievement were investigated for 80 female and 80 male university students who were randomly assigned to either cooperative or competitive teaching methods. After viewing a videotaped instruction on research design, participants completed a mini-assignment either individually in the competitive condition or with a same-sex partner in the cooperative condition. All participants individually completed a multiple-choice test to assess achievement. Although no differences were found on the multiple-choice test, on the mini-assignment women scored significantly higher in the cooperative than in the competitive condition, whereas men performed about equally in both conditions.Nous avons étudié les différences de performance chez 80 étudiants et 80 étudiantes universitaires à qui l’on avait assigné, par hasard, un projet conforme, soit à des méthodes de coopération, soit à des méthodes concurrentielles. Après avoir visionné une vidéo de directives portant sur la méthodologie de recherche, les participants ont complété un petit travail seul, dans un contexte concurrentiel, ou bien avec un partenaire de même sexe dans un contexte de coopération. De plus, tous les participants ont complété un examen à choix multiples individuellement, pour mesurer leur performance. Les résultats de cet examen ne révèlent aucune différence. Toutefois, la note e qu’ont obtenue les femmes pour le petit travail était bien plus élevée pour celui accompli dans un contexte de coopération que dans un contexte de concurrence. La performance des hommes était semblable dans les deux contextes

    Exploring Attitudes of Future Educators About Sexual Minority Youth

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    Fifty-two secondary teacher candidates from a Canadian university completed questionnaires assessing levels of homoprejudice, knowledge of homosexuality, and perceptions of professional issues related to sexual minority youth. The level of homoprejudice in this sample was lower than in earlier studies with teachers, and lower homoprejudice was found to be significantly related to higher professional commitment and willingness to assist sexual minority students. As well greater knowledge of homosexual issues was significantly related to lower levels of homoprejudice, and men had significantly more homoprejudiced attitudes than women.Cinquante-deux stagiaires d’une université canadienne ont complété des questionnaires évaluant les préjugés contre l’homosexualité, les connaissances sur l’homosexualité et les perceptions des enjeux professionnels liés aux jeunes appartenant à une minorité sexuelle. Cet échantillon a démontré moins de préjugés face à l’homosexualité que ceux des études précédentes impliquant des enseignants; or, un rapport significatif existe entre des niveaux peu élevés de préjugés face à l’homosexualité d’une part, et un plus grand engagement des les jeunes membres d’une minorité sexuelle et une volonté accrue de leur venir en aide d’autre part. Un lien significatif existe également entre des connaissances plus importantes relatives aux enjeux touchant les homosexuels et des niveaux moins élevés de préjugés face à l’homosexualité. Finalement, les hommes ont démontré, de manière significative, plus d’attitudes homophobes que les femmes

    Social Workers’ Perceptions of Working with People who have HIV/AIDS

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    This article presents the results of a cross-sectional online survey sent to a national sample of licensed social workers to examine their attitudes toward individuals living with HIV/AIDS. The survey included the AIDS Attitude Scale (Froman, Owen & Daisy, 1992), the HIV Knowledge Questionnaire-18 (Carey & Schroder, 2002), and the Modern Homonegativity Scale (Morrison & Morrison, 2002). Factors related to education, training, and other personal characteristics are explored. In this sample, 45% of the social workers indicated that more education and training would be beneficial to them in their current position, and greater HIV knowledge was associated with more positive attitudes toward people living with HIV/AIDS. Additionally, 57% of those surveyed indicated knowing someone personally who has HIV/AIDS, and demonstrated overall higher scores on empathy, and lower scores on avoidance. Those social workers who had higher avoidance of people living with HIV/AIDS were also found to be higher in homonegativity. The findings of this study add to the body of knowledge regarding social work attitudes, and provide further insight into an area with little existing data. The authors propose further research to identify causes of attitudes, potential gender and cultural differences, and the impact of the National Association of Social Workers Code of Ethics on social workers’ attitudes

    An AUC-based Permutation Variable Importance Measure for Random Forests

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    The random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs). However the classification performance of RF is known to be suboptimal in case of strongly unbalanced data, i.e. data where response class sizes differ considerably. Suggestions were made to obtain better classification performance based either on sampling procedures or on cost sensitivity analyses. However to our knowledge the performance of the VIMs has not yet been examined in the case of unbalanced response classes. In this paper we explore the performance of the permutation VIM for unbalanced data settings and introduce an alternative permutation VIM based on the area under the curve (AUC) that is expected to be more robust towards class imbalance. We investigated the performance of the standard permutation VIM and of our novel AUC-based permutation VIM for different class imbalance levels using simulated data and real data. The results suggest that the standard permutation VIM loses its ability to discriminate between associated predictors and predictors not associated with the response for increasing class imbalance. It is outperformed by our new AUC-based permutation VIM for unbalanced data settings, while the performance of both VIMs is very similar in the case of balanced classes. The new AUC-based VIM is implemented in the R package party for the unbiased RF variant based on conditional inference trees. The codes implementing our study are available from the companion website: http://www.ibe.med.uni-muenchen.de/organisation/mitarbeiter/070_drittmittel/janitza/index.html

    Nursing home administrators’ perspectives on a study feedback report : a cross sectional survey

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    BackgroundThis project is part of the Translating Research in Elder Care (TREC) program of research, a multi-level and longitudinal research program being conducted in 36 nursing homes in three Canadian Prairie Provinces. The overall goal of TREC is to improve the quality of care for older persons living in nursing homes and the quality of work life for care providers. The purpose of this paper is to report on development and evaluation of facility annual reports (FARs) from facility administrators&rsquo; perspectives on the usefulness, meaningfulness, and understandability of selected data from the TREC survey. MethodsA cross sectional survey design was used in this study. The feedback reports were developed in collaboration with participating facility administrators. FARs presented results in four contextual areas: workplace culture, feedback processes, job satisfaction, and staff burnout. Six weeks after FARs were mailed to each administrator, we conducted structured telephone interviews with administrators to elicit their evaluation of the FARs. Administrators were also asked if they had taken any actions as a result of the FAR. Descriptive and inferential statistics, as well as content analysis for open-ended questions, were used to summarize findings. ResultsThirty-one facility administrators (representing thirty-two facilities) participated in the interviews. Six administrators had taken action and 18 were planning on taking action as a result of FARs. The majority found the four contextual areas addressed in FAR to be useful, meaningful, and understandable. They liked the comparisons made between data from years one and two and between their facility and other TREC study sites in their province. Twenty-two indicated that they would like to receive information on additional areas such as aggressive behaviours of residents and information sharing. Twenty-four administrators indicated that FARs contained enough information, while eight found FARs &lsquo;too short&rsquo;. Administrators who reported that the FAR contained enough information were more likely to take action within their facilities than administrators who reported that they needed more information. ConclusionsAlthough the FAR was brief, the presentation of the four contextual areas was relevant to the majority of administrators and prompted them to plan or to take action within their facility. <br /

    Bias in random forest variable importance measures: Illustrations, sources and a solution

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    BACKGROUND: Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers relevant for the prediction of a certain disease. We show that random forest variable importance measures are a sensible means for variable selection in many applications, but are not reliable in situations where potential predictor variables vary in their scale of measurement or their number of categories. This is particularly important in genomics and computational biology, where predictors often include variables of different types, for example when predictors include both sequence data and continuous variables such as folding energy, or when amino acid sequence data show different numbers of categories. RESULTS: Simulation studies are presented illustrating that, when random forest variable importance measures are used with data of varying types, the results are misleading because suboptimal predictor variables may be artificially preferred in variable selection. The two mechanisms underlying this deficiency are biased variable selection in the individual classification trees used to build the random forest on one hand, and effects induced by bootstrap sampling with replacement on the other hand. CONCLUSION: We propose to employ an alternative implementation of random forests, that provides unbiased variable selection in the individual classification trees. When this method is applied using subsampling without replacement, the resulting variable importance measures can be used reliably for variable selection even in situations where the potential predictor variables vary in their scale of measurement or their number of categories. The usage of both random forest algorithms and their variable importance measures in the R system for statistical computing is illustrated and documented thoroughly in an application re-analyzing data from a study on RNA editing. Therefore the suggested method can be applied straightforwardly by scientists in bioinformatics research

    Private provider participation in statewide immunization registries

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    BACKGROUND: Population-based registries have been promoted as an effective method to improve childhood immunization rates, yet rates of registry participation in the private sector are low. We sought to describe, through a national overview, the perspectives of childhood immunization providers in private practice regarding factors associated with participation or non-participation in immunization registries. METHODS: Two mailed surveys, one for 264 private practices identified as registry non-participants and the other for 971 identified as registry participants, from 15 of the 31 states with population-based statewide immunization registries. Frequency distributions were calculated separately for non-participants and participants regarding the physician-reported factors that influenced decisions related to registry participation. Pearson chi-square tests of independence were used to assess associations among categorical variables. RESULTS: Overall response rate was 62% (N = 756). Among non-participants, easy access to records of vaccines provided at other sites (N = 101, 68%) and printable immunization records (N = 82, 55%) were most often cited as "very important" potential benefits of a registry, while the most commonly cited barriers to participation were too much cost/staff time (N = 36, 38%) and that the practice has its own system for recording and monitoring immunizations (N = 35, 37%). Among registry participants, most reported using the registry to input data on vaccines administered (N = 326, 87%) and to review immunization records of individual patients (N = 302, 81%). A minority reported using it to assess their practice's immunization coverage (N = 110, 29%) or generate reminder/recall notices (N = 54, 14%). Few participants reported experiencing "significant" problems with the registry; the most often cited was cost/staff time to use the registry (N = 71, 20%). CONCLUSION: Most registry participants report active participation with few problems. The problems they report are generally consistent with the barriers anticipated by non-participants, but did not impede participation. Recruitment efforts should focus on demonstrating the benefits of the registry to providers. In addition, many participants are not utilizing the full range of registry features; further study is needed to determine how best to increase use of these features
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