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It is also possible, however, that parents who perceive their children to have high ability in sport may establish expectations for that child s performance that are too high Such unrealistic parental expectations and the subsequent parental pressure to perform at high levels have been linked to high anxiety and stress on the part of the child as well as lower levels of sport enjoyment by the child (eg, Brustad, 1988; Leff & Hoyle, 1995; Ommundsen & Vaghum, 1991) Other researchers (Raedeke, 1997; W M Weiss & Weiss, 2003) have found that excessive pressure applied by parents (along with other individuals in the athlete s social environment) resulting in feelings of social obligation on the part of the child to continue his or her sport participation (eg.

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, My mother or father would be really disappointed if I quit my sport ) affects the young athletes type and level of.

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ensuring statistical independence within the meta-analysis If a study has multiple dependent measures, those that assess the same construct are combined (usually averaged), and those that assess different constructs are assigned to different metaanalyses Second, study effects meta-analysis calls for the meta-analyst to make some judgments about study methodological quality and to exclude studies with de ciencies judged serious enough to distort study outcomes In reviewing experimental studies, for example, the experimental treatment must be at least similar to those judged by experts in the research area to be appropriate, or the study will be excluded This procedure seeks to calibrate relationships between speci c variables rather than to paint a broad Glassian picture of a research area In this sense it is quite different from Glassian methods and is more focused on the kinds of questions that researchers desire answers to.

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However, this approach is like the Glass method in that it does not acknowledge that much of the variability in study ndings is due to sampling error variance That is, it takes observed correlations and d values at face value Some of those instrumental in developing and using this procedure are Mans eld and Busse (1977), Kulik and his associates (Bangert-Drowns, Kulik, & Kulik, 1983; Kulik & Bangert-Drowns, 1983 1984), Landman and Dawes (1982), and Wortman and Bryant (1985) In recent years, fewer published meta-analyses have used Glassian methods or study effects meta-analyses Meta-Analysis Methods That Focus on Sampling Error As noted earlier, numerous artifacts produce the deceptive appearance of variability in results across studies The artifact that typically produces more false variability than any other is sampling error variance Glassian meta-analysis and study effect meta-analysis implicitly accept variability produced by sampling error variance as real variability.

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