Introducing novel approaches for examining the variability of individuals’ physical activity

Tudor-Locke and colleagues previously assessed steps/day for 1 year. The aim of this study was to use this data set to introduce a novel approach for the investigation of whether individual’s physical activity exhibits periodicity fluctuating round a mean and, if so, the degree of fluctuation and whether the mean changes over time. Twenty-three participants wore a pedometer for 365 days, recorded steps/day and whether the day was a workday. Fourier transform of each participant’s daily steps data showed the physical activity had a periodicity of 7 days in half of the participants, matching the periodicity of the workday pattern. Activity level remained stable in half of the participants, decreased in ten participants and increased in two. In conclusion, the 7-day periodicity of activity in half of the participants and correspondence with the workday pattern suggest a social or environmental influence. The novel analytical approach introduced herein allows the determination of the periodicity of activity, the degree of variability in activity that is tolerated during day-to-day life and whether the activity level is stable. Results from the use of these methodologies in larger data sets may enable a more focused approach to the design of interventions that aim to increase activity.     

Fish-out-of-office: How managerialised university conditions make administrative knowledge inaccessible to academics

Academics report feeling unable to cope in the managerialised university. To confirm these feelings are symptoms of managerialism's tightening grip, we use Bourdieusian concepts of field and capital to compare academics and professional staff experiential statements in an Australian university. We compare their field conditions and examine how their differences enable or hinder the accumulation of capital that defines their field. Findings show that managerialism requires professional staff to share work tasks and be on-campus, which enables them to accumulate the capital they require. Managerialism also permits and resources academics to working out-of-office to accumulate their required capital. Consequentially though, university operational knowledge becomes informal and only accessible to professional staff who accumulate the required social capital to access it. Professional staff are thus fish-in-water; easily accumulating social capital through day-to-day activities. But academics become fish-out-of-water (office); they flounder to access operational knowledge, which leads to feelings of not coping.     

Reconciling Political and Economic Goals in the Net Neutrality Debate

The net neutrality debate is one of several sites of struggles to adapt and redefine rights and obligations of stakeholders in the Internet-centric communications system. Its outcomes will shape the future of the Internet and influence the level and distribution of its benefits. We identify key values that drive the net neutrality discussion and examine the governance mechanisms proposed to achieve these objectives. We find that there is no single policy instrument that allows realization of the range of valued political and economic objectives simultaneously. Contrary to some of the claims advanced in the current debate, safeguarding multiple goals requires a combination of instruments that will likely involve government and nongovernment measures. Furthermore, promoting goals such as the freedom of speech, political participation, investment, and innovation calls for complementary policies.     

Obtaining Diagnostic Classification Model Estimates Using Mplus

Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.