Integrity in Government through Records Management: Essays in Honour of Anne Thurston     

Josephine Marsh 《档案与原稿》2016,44(1):53-54

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Making sense of learner and learning Big Data: reviewing five years of Data Wrangling at the Open University UK     

Bart Rienties  Simon Cross  Vicky Marsh  Thomas Ullmann 《Open Learning》2017,32(3):279-293

Most distance learning institutions collect vast amounts of learning data. Making sense of this ‘Big Data’ can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated in 2012 a Data Wrangling initiative. This provided every Faculty with a dedicated academic with expertise data analysis and whose task is to provide strategic, pedagogical and sense-making advice to staff and senior management. Given substantial changes within the OU (e.g. new Faculty structure, real-time dashboards, two large-scale adoptions of predictive analytics approaches, increased reliance on analytics), this embedded case study provides an in-depth review of lessons learned of five years of data wrangling. We will elaborate on the design of the new structure, its strengths and potential weaknesses, and affordances to be adopted by other institutions.  相似文献   

Longitudinal study of preadolescent sport self-concept and performance: reciprocal effects and causal ordering     

Marsh HW  Gerlach E  Trautwein U  Lüdtke O  Brettschneider WD 《Child development》2007,78(6):1640-1656

Do preadolescent sport self-concepts influence subsequent sport performance? Longitudinal data (Grades 3, 4, and 6) for young boys and girls (N= 1,135; mean age = 9.67) were used to test reciprocal effects model (REM) predictions that sport self-concept is both a cause and a consequence of sport accomplishments. Controlling prior sport performance (performance-based measures and teacher assessments), prior sport self-concept had positive effects on subsequent sport performance in both Grade 4 and Grade 6 and for both boys and girls. Coupled with previous REM studies of adolescents in the academic domain, this first test for preadolescents in the sport domain supports the generalizability of REM predictions over gender, self-concept domain, preadolescent ages, and the transition from primary to secondary school.  相似文献   

Validity of Social,Moral and Emotional Facets of Self-Description Questionnaire II     

Kim Chau Leung  Herbert W. Marsh  Alexander Seeshing Yeung  Adel S. Abduljabbar 《Journal of Experimental Education》2015,83(1):1-23

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Drug mules: women in the international cocaine trade     

Whitney Marsh 《Journal of Criminal Justice Education》2017,28(1):149-151

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The negative effect of school-average ability on science self-concept in the UK,the UK countries and the world: the Big-Fish-Little-Pond-Effect for PISA 2006     

Benjamin Nagengast  Herbert W. Marsh 《教育心理学》2011,31(5):629-656

Research on the relation between students’ achievement (ACH) and their academic self-concept (ASC) has consistently shown a Big-Fish-Little-Pond-Effect (BFLPE); ASC is positively affected by individual ACH, but negatively affected by school-average ACH. Surprisingly, however, there are few good UK studies of the BFLPE and few anywhere in the world based on science self-concept (S-ASC). Addressing this substantive limitation in existing research with data from PISA 2006, we extend new multigroup doubly-latent multilevel structural equation models – a substantive-methodological synergy. BFLPE predictions for S-ASC are supported for: the total international sample; the total UK sample; each of the four UK countries considered separately. The BFLPE was marginally larger in the UK than the international sample. However, consistent with the selective nature of school systems in the UK, the BFLPE was larger in Northern Ireland and, to a lesser extent, England than in Scotland or Wales.  相似文献   

Creating Positive Lived Experiences in Schools for International Relocatee Parents and Their Children     

Marsh  Monica Miller  Raimbekova  Lolagul 《Early Childhood Education Journal》2022,50(2):279-289

Early Childhood Education Journal - Children benefit from strong home–school relationships. Yet, parents who are immigrants and refugees are expected to follow frameworks for school...  相似文献   

Bibliography of Bioethics and Index Medicus: comparison of coverage, publication delay, and ease of recall for journal articles on bioethics   总被引：1，自引：0，他引：1  

S S Marsh 《Bulletin of the Medical Library Association》1987,75(3):248-252

Citations selected from the bibliographies of recent texts, a specialized subject bibliography, and review articles were checked in both Cumulated Index Medicus (IM) and the Bibliography of Bioethics (BB) to compare coverage, publication delay, probable causes of indexing and retrieval failure, and the ease with which relevant citations were retrieved. The study also attempted to determine whether BB included appropriate articles from the MEDLINE database in a timely and systematic manner. While 98% of the IM citations appeared within a year of publication, 79% of the BB citations appeared two to three years after their publication dates. The average citation appeared twice as frequently in IM as in BB.  相似文献   

Longitudinal confirmatory factor analysis: Common,time‐specific,item‐specific,and residual‐error components of variance     

Herbert W. Marsh  David Grayson 《Structural equation modeling》2013,20(2):116-145

Following Cronbach (1970) and others, it is useful to decompose test score variation into common factor, time‐specific, item‐specific, and residual components. In the traditional approach to factor analysis, only two sources of variance can be estimated: common factor variance and a uniqueness term that confounds specific sources of variation and residual error. When the same items are measured on different occasions, however, it is possible to separate specific variance and residual error. Two approaches, the first‐order approach described by Raffalovich and Bohrnstedt (1987) and a second‐order approach based on Jöreskog and Sörbom (1989; Jöreskog, 1974) are considered initially. The two approaches, although based on different rationales, both suffer a similar weakness in that two of the four sources of variance are confounded. In the Raffalovich and Bohrnstedt approach, time‐specific variance is confounded with common factor variance that generalizes across items and time. In the second‐order approach based on Jöreskog and Sörbom, time‐specific variance is confounded with residual error. Here we demonstrate that by combining features from both approaches we can eliminate these weaknesses and estimate all four of Cronbach's sources of variance, and that this combined approach is easily generalized to a wide variety of applications.  相似文献   

Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches     

Herbert W. Marsh  Zhonglin Wen  Kit-Tai Hau  Todd D. Little  James A. Bovaird  Keith F. Widaman 《Structural equation modeling》2013,20(4):570-580

Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for estimating latent interaction effects as an alternative to the mean-centered approach proposed by Marsh, Wen, and Hau (2004, 2006). Little et al. also differed from Marsh et al. in the number of indicators used to infer the latent interaction factor and how they were represented, but this issue is separate from the mean versus residual centering distinction that was their primary focus. However, their implementation of the Marsh et al. mean-centered approach failed to incorporate the mean structure that Marsh et al. argued was necessary to obtain unbiased estimates. One might suppose that their new approach would suffer this same problem, an issue not addressed by Little et al. However, we demonstrate here why the Little et al. approach obviates this requirement that heretofore was thought to be necessary for all constrained, partially constrained, and unconstrained approaches. Both the Marsh et al. and Little et al. unconstrained approaches typically result in similar results and are much easier to implement than traditional constrained approaches. They differ primarily in that the Little et al. approach is a 2-step approach involving a potentially large number of separate analyses prior to estimating the structural equation model that apparently does not require the estimation of a mean structure, whereas the Marsh et al. approach is a 1-step approach that includes a mean structure.  相似文献