Predicting Parent-Child Differences in Perceptions of How Children Use the Internet for Help With Homework,Identity Development,and Health Information

Bioecological systems theory provides a framework to understand how factors in the child's environment contribute to parent-child differences in estimations of how often children are helped by their Internet use. A national sample survey of 456 matched parent-child pairs investigated how parents-child relational factors, parental attitudes toward the Internet, and the bio-ecology of the child, are related to differing perceptions of the frequency of using the Internet to seek help with homework assignments, to aid in identity development, and to find health information. While previous research shows that parents underestimate risky online behaviors, we investigate whether parent-child differences will emerge in regards to how often the child engages in the behaviors under investigation here. The findings show that parents overestimate these online activities, suggesting they are biased in their estimations. Parent-child relational factors emerged as predictors of parental overestimation for each of these online activities, with trust perceptions as the most consistent predictor. Parental attitudes toward the Internet predicted parent-child differences in perceptions of how frequently the child used the Internet for help with homework and identity development, while the bioecology of the child was only predictive in the case of using the Internet for help with homework.     

Index of science reading awareness: An interactive-constructive model,test verification,and grades 4–8 results

The purpose of this study was to develop and verify the Index of Science Reading Awareness (ISRA) based on a model of an efficient, successful interactive-constructive science reader and three independent metacognitive awareness domains. Several researchers have noted the need for efficient, reliable, and valid measures of metacognition. ISRA data collected on 532 students (Grades 4–8) were analyzed using factor analyses, linear structural modeling, and analyses of variance (ANOVAs) to help verify the model and the test. The factor analyses and linear structural modeling indicated that these data did not support the assumption about the three independent metacognitive awareness domains, but suggested that the model and the test were structured around the design features of science reading, science text, and science reading strategies. One-way ANOVAs indicated significant, predicted reading ability and gender differences but unexpected grade-level differences. The composite metacognitive awareness data indicated that most Grade 4–8 students have surface knowledge about science reading, science text, and science reading strategies, and indicated specific targets for explicit science reading instruction. © 1998 John Wiley & Sons, Inc. J Res Sci Teach 35: 27-51, 1998.     

Explaining attendance through the brand community triad: Integrating network theory and team identification

In this study, the authors empirically test a model of sport behaviour that integrates both team identification and a network theory approach to understand attendance at intercollegiate ice hockey games. Grounded within the brand community triad, ego network data were collected among attendees to measure the fan-to-fan connections that constitute the horizontal relationships of brand community participants. Additionally, a multidimensional team identification measure was used to illustrate the vertical relationship between individual and team. Both measures were included in a structural equation model to test how both fan-to-fan and fan-team relationships explain attendance. The results from the model support the salience of both dimensions of the brand community triad, suggesting that understanding sport fan behaviour necessitates including both psychological and structural elements of behaviour. Future suggestions for extending the study of sport fans through structural networks are discussed.