A model to explain information seeking behaviour by individuals in the response phase of a disaster

This Australian study establishes a model that provides a foundation for communication channels and tools selection by agencies in the post-warning response phase of a disaster. The model, developed from disaster and information seeking literature, attempts to predict information source and channel selection by people after their community has received a warning for a disaster. It provides the coding framework for analysis of 51 semi-structured interviews with disaster-affected Australians. The interviews tested the model for accommodation of channels and sources that people chose, found most useful, and used most in bushfire, slow flood, flash flood, and cyclone situations. The order of initial sources was investigated and preliminary information seeking pathways established across disaster types. The disaster information seeking model supports this investigation of information seeking behaviour, though improvements are suggested. The resulting model could guide agency response communication for different disaster types.     

Investigating married adults’ communal coping with genetic health risk and perceived discrimination

Increased genetic testing in personalized medicine presents unique challenges for couples, including managing disease risk and potential discrimination as a couple. This study investigated couples’ conflicts and support gaps as they coped with perceived genetic discrimination. We also explored the degree to which communal coping was beneficial in reducing support gaps and ultimately stress. Dyadic analysis of married adults (N?=?266, 133 couples), in which one person had the genetic risk for serious illness, showed that perceived discrimination predicted more frequent conflicts about alpha-1 antitrypsin deficiency-related treatment, privacy boundaries, and finances, which, in turn, predicted wider gaps in emotion and esteem support, and greater stress for both spouses. Communal coping predicted lower support gaps for both partners and marginally lower stress.     

The acute testosterone,growth hormone,cortisol and interleukin-6 response to 164-km road cycling in a hot environment

This study investigated the acute endocrine responses to a 164-km road cycling event in a hot environment. Thirty-four male experienced cyclists (49.1 ± 8.3 years, 86.8 ± 12.5 kg, 178.1 ± 5.1 cm) participating in a 164-km road cycling event were recruited. Blood samples were collected within 0.3–2.0 h before the start (PRE: ~0500–0700 h) and immediately following the ride (POST). Samples were analysed for testosterone, growth hormone (GH), cortisol and interleukin-6 (IL-6). The temperature and humidity during the event were 35.3 ± 4.9°C and 47.2 ± 14.0%, respectively. Based on the finishing time, results for the fastest (FAST, 305 ± 10 min) and the slowest (SLOW, 467 ± 31 min) quartiles were compared. At POST, testosterone concentration was significantly (P < 0.05) lower (PRE, 20.8 ± 8.6; POST, 18.2 ± 6.7 nmol · L^?1), while GH (PRE, 0.3 ± 0.1; POST, 2.3 ± 0.3 µg · L^?1), cortisol (PRE, 661 ± 165; POST, 1073 ± 260 nmol · L^?1) and IL-6 (PRE, 4.0 ± 3.4; POST, 22.4 ± 15.2 pg · mL^?1) concentrations were significantly higher than those at PRE. At POST, GH and cortisol were significantly higher for the FAST group than for the SLOW group (GH, 3.6 ± 2.0 and 1.0 ± 0.8 µg · L^?1; cortisol, 1187 ± 209 and 867 ± 215 nmol · L^?1). Participation in an ultra-endurance road cycling event in a hot environment induced significant acute changes in concentrations of circulating hormones, with a greater augmentation of GH and cortisol in those completing the ride fastest.     

Disruptive silence: deepening experiential learning in the absence of technology

Technology plays an integral role in the lives of the majority of the US population. As technology becomes integrated into young people’s lives, questions arise regarding its effects on learning. This exploratory study draws on interviews with students who attend university in the United States to determine how separating students from technology deepens experiential learning. Participants were interviewed following a study abroad course to New Zealand, during which they were disconnected from technologies such as cell phones, the Internet and social media. In the interviews, students discussed their feelings of being disconnected and describe how disconnecting impacted their overall experience. Participants agreed that disconnecting from technology had positive effects on experiential learning and the global experience. Major themes that emerged include students’ enhanced immersion and engagement, the value of disconnection in providing opportunities for personal growth and the difficulty of initial separation from technology as a result of conditioning.     

The relationship between individual instructional characteristics and the overall assessment of teaching effectiveness across different instructional contexts

There is an ongoing debate in the student evaluation of teaching literature about whether an overall rating or factorial dimensions of teaching effectiveness should be used in personnel decisions. Marsh and his colleagues have advocated the use of a weighted average approach to computing overall evaluations. A policy-capturing experiment was carried out where students in three different instructional contexts made overall evaluations of hypothetical instructors based on a manipulation of the teaching factors in Marsh's SEEQ. The results indicated (1) amount learned was consistently the most important factor affecting overall evaluations; (2) course difficulty was consistently the least important factor affecting overall evaluations; and (3) there was a strong similarity among the three groups in the relative importance of the various teaching factors in arriving at an overall evaluation. The implications of this research are discussed, as well as directions for future research.     

The Performance of the Mantel-Haenszel Procedure Across Samples and Matching Criteria

This study examined the reliability of the Mantel-Haenszel indexes across different samples of test takers as well as across sample sizes and investigated whether these indexes are robust to item context effects. Mathematics data from the Second International Mathematics Study (SIMS; 1985) for U.S. eighth-grade students were analyzed. The results suggest that the MH D-DIF is robust to item context effects. However, larger sample sizes than those used in this investigation (N = 141-167 for the focal group) may be necessary to obtain stable estimates from the Mantel-Haenszel procedure.