De-Mystifying the U.S. News Rankings: How to Understand What Matters,What Doesn't and What You can Actually Do About It

College rankings present challenges and opportunities for higher education marketers. Statistical analysis of data on the national universities reveals which measures are associated with peer assessment scores, whether it is possible to influence the score, and what underlying factors are present. Marketers can use the findings to counsel senior leaders and position their institutions more effectively with key constituencies.     

Can anti-gravity running improve performance to the same degree as over-ground running?

This study examined the changes in running performance, maximal blood lactate concentrations and running kinematics between 85%BM anti-gravity (AG) running and normal over-ground (OG) running over an 8-week training period. Fifteen elite male developmental cricketers were assigned to either the AG or over-ground (CON) running group. The AG group (n = 7) ran twice a week on an AG treadmill and once per week over-ground. The CON group (n = 8) completed all sessions OG on grass. Both AG and OG training resulted in similar improvements in time trial and shuttle run performance. Maximal running performance showed moderate differences between the groups, however the AG condition resulted in less improvement. Large differences in maximal blood lactate concentrations existed with OG running resulting in greater improvements in blood lactate concentrations measured during maximal running. Moderate increases in stride length paired with moderate decreases in stride rate also resulted from AG training. The use of AG training to supplement regular OG training for performance should be used cautiously, as extended use over long periods of time could lead to altered stride mechanics and reduced blood lactate.     

Re‐imagining doctoral education: Professional Doctorates and beyond

Portents of the demise of the Professional Doctorate have emerged in some recent policy and institutional circles in Australia, raising questions about the meaning and relevance of the Professional Doctorate in an era of ‘league tables’ and research assessment in Australia. This article argues that such portents, based largely on narrow market‐driven arguments, are premature, reactive and unhelpful, in that they foreclose on a set of critical questions concerning the future purpose, scope and practice of doctoral education. The article argues that the simple re‐assertion of the PhD as the default award represents a restoration of the logics and imperatives of disciplinarity and of older notions of so‐called ‘real’ research. Further, questions of the changing economies of knowledge and practice within, between and beyond the reach of the university, are subordinated and disavowed. The article presents a re‐reading of the emergence of Professional Doctorates, from the perspective of a decade‐and‐a‐half of development and change. It suggests the need to revisit that history critically in the light of the current developments in doctoral education, in knowledge production and in developing different relations around knowledge between universities and different social and professional domains. Such revisitings can bring out emerging issues for doctoral education at a time when anxieties may inhibit taking up opportunities for innovation and linking with new kinds of knowledge production that go beyond Euro‐centric and university‐centric traditions.     

Methodology for Examining the Reliability of Group Mean Difference Scores

This article treats various procedures for examining the reliability of group mean difference scores, with particular emphasis on procedures from univariate and multivariate generalizability theory. Attention is given to both traditional norm-referenced perspectives on reliability as well as criterion-referenced perspectives that focus on error-tolerance ratios and functions of them. The procedures discussed are illustrated using three cohorts of data for third- and fourth-grade students in Iowa who took the Iowa Tests of Basic Skills in recent years. For these data, estimates of reliability for norm-referenced decisions tend to be relatively low. By contrast, for criterion-referenced decisions, estimates of reliability-like coefficients based on error-tolerance ratios tend to be noticeably larger.     

Complexities of Vietnamese femininities: a resource for rethinking women's university leadership practices

This paper develops a dialogical encounter between northern-inspired theorisations of gender and Vietnam's historical and cultural differentiation identified through the presence of matriarchy in ancient societies and its popularity in folklore and contemporary politics. The article draws on interviews with 12 senior women from 8 universities in Northern and Southern Vietnam. Three main themes are explored: (1) the Vietnamese woman as ‘general of the interior’; (2) the ‘woman behind the throne’; and (3) ‘behind a woman is another woman’. These themes illustrate the distinctiveness of a historically produced Vietnamese gender order as reflected in current university women's experience. By providing insights into the complex dynamics of Vietnamese women's ‘informal power’, as evident in both spheres of home and university, the paper presents a discussion of forms of Vietnamese femininity that contributes to re-theorising Connell's concepts of ‘hegemonic masculinity and emphasized femininity’.     

An Investigation of Classification Consistency Indexes Estimated Under Alternative Strong True Score Models

Using several data sets, the authors examine the relative performance of the beta binomial model and two other more general strong true score models in estimating several indexes of classification consistency. It is shown that the beta binomial model can provide inadequate fits to raw score distributions compared to more general models. This lack of fit is reflected in differences in decision consistency indexes computed using the beta binomial model and the other models. It is recommended that the adequacy of a model in fitting the data be assessed before the model is used to estimate decision consistency indexes. When the beta binomial model does not fit the data, the more general models discussed here may provide an adequate fit and, in such cases, would be more appropriate for computing decision consistency indexes.     

Structural Zeros and Their Implications With Log‐Linear Bivariate Presmoothing Under the Internal‐Anchor Design

In equating, when common items are internal and scoring is conducted in terms of the number of correct items, some pairs of total scores (X) and common‐item scores (V) can never be observed in a bivariate distribution of X and V; these pairs are called structural zeros. This simulation study examines how equating results compare for different approaches to handling structural zeros. The study considers four approaches: the no‐smoothing, unique‐common, total‐common, and adjusted total‐common approaches. This study led to four main findings: (1) the total‐common approach generally had the worst results; (2) for relatively small effect sizes, the unique‐common approach generally had the smallest overall error; (3) for relatively large effect sizes, the adjusted total‐common approach generally had the smallest overall error; and, (4) if sole interest focuses on reducing bias only, the adjusted total‐common approach was generally preferable. These results suggest that, when common items are internal and log‐linear bivariate presmoothing is performed, structural zeros should be maintained, even if there is some loss in the moment preservation property.