PHONE HOME? AN ANALYSIS OF HOUSEHOLD TELEPHONE OWNERSHIP

A multivariate, theoretical model is developed and tested topredict household telephone ownership. Factors theorized topredict telephone ownership are 1) socio-economic status/resources,2) household composition, 3) cultural background, 4) attachments,including—a) community/mobility ties, b) civic/politicalties, c) group ties, d) personal ties, e) social and institutionalalienation, and of misanthropy, 5) counter-normative behavior,6) psychological well-being, and 7) physical well-being. Theanalysis, indicates that the socio-economic factor in generaland income in particular has the largest impact. All other factorsalso have significant, independent effects with the exceptionthat some, but not all, of the attachment factors and psychologicaland physical well-being are not related to telephone ownership.Overall, non-telephone households can be characterized as marginaloutsiders.     

Three-dimensional kinematic analysis of the golf swing using instantaneous screw axis theory,Part 2: golf swing kinematic sequence

A number of recent studies have measured the extent and timing of segment rotation during the golf swing. A promising technique, instantaneous screw axis (ISA) theory, could provide a better expression of segment rotation. In Part 1 of this two-part study, the objectives are to identify the ISA of the pelvis, shoulders and left arm during the downswing, compute segment angular velocity relative to that segment’s ISA and verify that ISA theory is a valid tool to analyse segment rotation during the golf swing. Results indicate that for all subjects, at least 71% of marker velocity is a result of rotation about their respective ISA, when averaging results over the duration of the downswing, confirming that motion is primarily rotational. Furthermore, ISA position and orientation of each segment approaches, on average, the expected gross axis of rotation, confirming that motion about the ISA is representative of joint motion.     

(In)civility and adolescents’ moral decision making online: drawing on moral theory to advance digital citizenship education

Education and Information Technologies - This article draws on moral theory to advance digital citizenship education and explore how adolescents aged 13–16 make decisions when confronted with...     

The Imponderable Bloom: A Multimodal Social Semiotic Analysis of an Online Secondary English Course

The use of online learning and other software-powered technologies is on the rise in the United States, encouraged financially and politically by governmental and commercial entities. Specifically, online courses are gaining ground in K–12 public schools, schools which often purchase from third-party providers. After a decade in the New York City Department of Education as an English teacher and schools official responsible for a large-scale online learning programme, the author asks the question: How does the use of software-powered technologies like online learning affect the teaching of literature? In pursuit of this question, the author draws on concept from the field of software studies while adapting qualitative methods from multimodal studies to examine precisely how the nature of software (and the ideologies of those who create and sell it) are subtly influencing the teaching of literature.     

Individual difference predictors of creativity in Art and Science students

Two studies are reported that used multiple measures of creativity to investigate creativity differences and correlates in arts and science students. The first study examined Divergent Thinking fluency, Self-Rated Creativity and Creative Achievement in matched groups of Art and Science students. Arts students scored higher than Science students on two of the three measures. Regression analysis indicated that the educational domain demographic variable was the most consistent predictor of all three measures of creativity. The second study compared natural science, social science and arts students on two performance and two preference measures of creativity, whilst controlling for the effects of general intelligence. Results indicated only Self-Rated Creativity displayed significant group differences, with the regression analysis suggesting a stronger role of personality variables. The differences between the groups and implications for the measurement of creativity are considered.