Doing research on mobile devices: An undergraduate case study

To investigate how undergraduates use library and scholarly resources through their mobile devices, the authors surveyed 138 undergraduate students at The College of New Jersey (TCNJ) in the spring 2014 semester. The results confirmed that they want to search databases and journals on their mobile devices. By examining the functionalities of mobile-friendly databases, we identified the challenges and barriers to using mobile devices to search electronic databases and find articles. The results of this study were used in generating recommendations for the design, capabilities, and resources of future mobile websites.     

Effects of autonomous motivational priming on motivation and affective responses towards high-intensity interval training

This study examined the effect of autonomous motivational priming on motivation, attitudes and intentions towards high-intensity interval training (HIT). Participants (N = 42) performed a graded exercise test to determine their peak aerobic power (W_PEAK). At a subsequent testing session, participants were randomised to complete either an autonomous or neutral motivational priming task followed by a 10 × 1 HIT exercise protocol, alternating 1-min bouts of hard (70% W_PEAK) and light (12.5% W_PEAK) exercises for 20 min. Participants primed with autonomous motivation reported greater enjoyment, P = .009, η_p² = .16, and perceived competence, P = .005, η_p² = .18, post-exercise compared to those in the neutral priming condition. Participants in the autonomous motivational priming condition also reported more positive attitudes, P = .014, η_p² = .14, towards HIT; however, there was no difference between the conditions for task motivation during HIT or intentions, P = .53, η_p² = .01, to engage in HIT. These findings highlight autonomous motivational priming as a method of enhancing affective and motivational experiences regarding HIT.     

‘Much more than a basic education’: supporting self-determination and cultural integrity in a non-traditional school for Indigenous girls

This paper presents data from an interview-based case study of a secondary school located in a suburban area of Queensland (Australia). The school is a non-traditional education site designed to support disadvantaged girls, many of whom are Indigenous, and is highly regarded for its holistic approach to gender and cultural inclusion and equity. Through lenses that align Nancy Fraser's theories of redistributive and recognitive justice, with Indigenous feminists' equity priorities, the paper identifies and analyses the structures and practices at the school that support the girls' capacities for self-determination and their sense of cultural integrity. The paper is an important counterpoint within the context of mainstream gender equity and schooling discourses that continue to homogenise gender categories, sideline the multiple axes of differentiation that interplay to compound gender (dis)advantage and deflect attention away from marginalised girls. In particular, it provides significant insight into how schools can begin to reconcile the double bind of racism and sexism that continues to stymie the schooling and post-school outcomes of Indigenous girls.     

Net Neutrality in the Context of Provision of Fair and Equitable Access to Information Sources and Services

The purpose of this literature review is to examine the impact of changes in net neutrality policies on public library services. Specifically, this review aims to find what questions have been investigated in relation to public library institutions and their users. Reviewed literature seems to be in favor of a neutral Internet and argues about the negative effects of its loss. Librarians whose mission is to protect disenfranchised members of society seemed to be motivated to fight for a neutral Internet and favor of keeping net neutrality policies in place.     

Temperament and Teacher–Child Conflict in Preschool: The Moderating Roles of Classroom Instructional and Emotional Support

Research Findings: This study is an examination of (a) links between preschool children’s temperament (effortful control, shyness, and anger) and teacher–child conflict and (b) classroom instructional and emotional support as moderators of associations between temperament and teacher–child conflict. Children (N = 104) were enrolled in 23 classrooms in 9 preschools in a midwestern city. Teachers provided ratings of children’s temperament and parents reported demographic information in the fall of the school year, classrooms were observed in the winter to assess instructional and emotional support, and teachers rated conflict with children in the spring. Multilevel models were estimated, and 3 main findings emerged. First, children’s effortful control was negatively associated with their level of conflict with teachers. Second, children’s effortful control was negatively related to teacher–child conflict in classrooms with low emotional support but unrelated to conflict in classrooms with high emotional support. Third, children’s effortful control was negatively related to conflict in classrooms with high instructional support but unrelated to conflict in classrooms with low instructional support. Practice or Policy: Findings highlight the importance of considering the interplay of children’s effortful control and preschool classroom instructional and emotional support in the development of early teacher–child conflict.     

New modalities of state power: neoliberal responsibilisation and the work of academy chains

This paper draws on interview data gathered as part of a broader study around issues of equity and schooling. It features the voices of the Executive Director and four Head Teachers from one of England's top performing academy chains, ‘CONNECT’. The notion of neoliberal responsibilisation is drawn on to examine, first, the ways in which Head Teachers describe their work and, second, the chain's expectations of them as CONNECT leaders. Responsibilisation of the self was apparent in Head Teachers' construction of themselves as ideal neoliberal workers – performing and enterprising subjects who readily accept the business principles and results-orientation of their ‘data-driven’ environment. Responsibilising of Head Teachers by the organisation was evident in the rigorous ‘non-negotiable’ standards and accountabilities at CONNECT that they were expected to comply with. These non-negotiables cultivated and rewarded Head Teachers’ entrepreneurial identity of achievement motivation. The paper illustrates how such neoliberal responsibilisation is both a crucial and highly troubling element in the work of academy chains as new modalities of state power.     

The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation

Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the ubiquity of correlated residuals and imperfect model specification. Our research focuses on a scale evaluation context and the performance of four standard model fit indices: root mean square error of approximate (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI), and Tucker–Lewis index (TLI), and two equivalence test-based model fit indices: RMSEAt and CFIt. We use Monte Carlo simulation to generate and analyze data based on a substantive example using the positive and negative affective schedule (N = 1,000). We systematically vary the number and magnitude of correlated residuals as well as nonspecific misspecification, to evaluate the impact on model fit indices in fitting a two-factor exploratory factor analysis. Our results show that all fit indices, except SRMR, are overly sensitive to correlated residuals and nonspecific error, resulting in solutions that are overfactored. SRMR performed well, consistently selecting the correct number of factors; however, previous research suggests it does not perform well with categorical data. In general, we do not recommend using model fit indices to select number of factors in a scale evaluation framework.