Music Selection Behaviors in Everyday Listening

Data on everyday music listening obtained via the Experience Sampling Method indicated that selection method was related to liking for and emotional response to the music, attention paid to the music, and perceived consequences of hearing the music. Individual listener's characteristics (e.g., age and level of engagement with music) were associated with selection behaviors. Negative effects resulted when individuals perceived they did not have control over music selection. In contrast, possessing control led to positive consequences such as enjoyment and motivation. These results indicate that control is an important aspect of one's everyday music experiences.     

Evaluating the Prediction of Maximal Heart Rate in Children and Adolescents

In this study, we compared measured maximal heart rate (HRmax) to two different HRmax prediction equations [220 — age and 208 — 0.7(age)] in 52 children ages 7-17 years. We determined the relationship of chronological age, maturational age, and resting HR to measured HRmax and assessed seated resting HR and HRmax during a graded exercise test. Maturational age was calculated as the maturity offset in years from the estimated age at peak height velocity. Measured HRmax was 201 ± 10 bpm, whereas predicted HRmax ranged from 199 to 208 bpm. Measured HRmax and the predicted value from the 208 — 0.7(age) prediction were similar but lower (p < .05) than the 220 — age prediction. Absolute differences between measured and predicted HRmax were 8 ± 5 and 10 ± 8 bpm for the 208 — 0.7 (age) and 220 — age equations, respectively, and were greater than zero (p < .05). Regression equations using resting HR and maturity offset or chronological age significantly predicted HRmax, although the R2 < .30 and the standard error of estimation (8.2-8.5) limits the accuracy. The 208 — 0.7(age) equation can closely predict mean HRmax in children, but individual variation is still apparent.     

Self-Esteem, Locus of Control, College Adjustment, and GPA Among First- and Continuing-Generation Students: A Moderator Model of Generational Status

The role of generational status (first-generation vs. continuing-generation college students) as a moderator of the relationship between psychological factors and college outcomes was tested to determine whether generational status acts as a risk factor or as a sensitizing factor. The sample consisted of 322 undergraduate students who completed online measures of self-esteem, locus of control, and academic adjustment and provided self-reports of GPA. Generational status significantly moderated the relationship between psychological factors and academic outcomes. Generally, it was found that the relationship between psychological factors and academic outcomes were strongest among first-generation students. Further, it was found that for the majority of the interactions with locus of control, first-generation status acted as a sensitizing factor that amplified both the positive and negative effects of locus of control. In contrast, for self-esteem, first generation status acted as a risk factor that only exacerbated the negative effects of low self-esteem. These results are interpreted as reflecting motivational differences between first- and continuing-generation students and are discussed with respect to the social/cultural capital hypothesis that is most frequently presented in the existing literature.     

IBM's view of distance education: Speaking personally with Susan Leslie,Dick Scott,and James Tomsic of IBM

Abstract

This paper describes the application of evaluation methods to a distance course and discusses the need for ongoing evaluation to control the quality of distance education courses. During the last quadrimester of 1996, a course in Graphic Mechanics was offered in Brazil through a distance education program entitled “Programa Educ@r”¹ via the World Wide Web. Evaluation methods and data analysis were developed and applied during the period of the course, and results of the evaluation are discussed.