5 resultados para random regression model

em Brock University, Canada


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Hom' s (2008) model of coaching effectiveness provides a framework that outlines the antecedent factors that influence coaches' behaviours as well as the way in which coaches' behaviours can influence the psychosocial development of athletes. Perceived coaches" behaviours have been shown to predict the self-reported unsportspersonlike behaviours of young athletes (Shields et aI., 2007). However, very few studies have examined actual coaches' sportspersonship behaviours (Arthur-Banning et aI., 2009; Cote et aI., 1993; Trudel e t aI., 1991). The purpose of this exploratory study was to investigate the relationships between coaches' and athletes' sportspersonship orientations and behaviours. Participants included competitive male basketball coaches (N = 5) and their male athletes aged 10 to 13 (N= 48). Two investigators systematically observed coaches' sportspersonship behaviours. Subsequently, coaches and athletes completed questionnaires based on the Multidimensional Sportspersonship Orientations Scale (MSOS; Vallerand et aI., 1997). The results showed that coaches' self-reported sportspersonship orientations and athletes' perceptions of their coaches behaviours were consistent with coaches' actual behaviours for respect for the rules and officials as well as for social conventions. A series of multiple regressions were conducted in order to determine whether or not athletes' perceptions of their coaches' sportspersonship behaviours predicted the sportspersonship orientations of athletes. The only significant regression model was for athletes' negative approach toward sport participation. The results also suggest that the MSOS has reliability and validity issues.

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This study examined if a person’s quality of life could be predicted by six relevant factors in a sample of 114 individuals with intellectual disability who had moved from institutional settings to community living settings within Ontario. Further, two aspects of self-efficacy were tested to see if they moderated the relationship between the possible predictors and the quality of life indicator. The initial multiple regression model accounted for a very small amount of the variance in the outcome (r2 = .08). The second analysis included decision-making as a predictor (r2 = .35) but did not find it to be moderator. The third analysis used opportunities for change as a predictor (r2 = .28), and as a moderator with two significant interaction terms, health and years in an institutional setting (r2 = .35). These findings support the often-theorized influence of self-efficacy on quality of life for individuals with intellectual disability.

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Although the link between macroeconomic news announcements and exchange rates is well documented in recent literature, this connection may be unstable. By using a broad set of macroeconomic news announcements and high frequency forex data for the Euro/Dollar, Pound/Dollar and Yen/Dollar from Nov 1, 2004 to Mar 31, 2014, we obtain two major findings with regards to this instability. First, many macroeconomic news announcements exhibit unstable effects with certain patterns in foreign exchange rates. These news effects may change in magnitude and even in their sign over time, over business cycles and crises within distinctive contexts. This finding is robust because the results are obtained by applying a Two-Regime Smooth Transition Regression Model, a Breakpoints Regression Model, and an Efficient Test of Parameter Instability which are all consistent with each other. Second, when we explore the source of this instability, we find that global risks and the reaction by central bank monetary policy to these risks to be possible factors causing this instability.

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This thesis investigates how macroeconomic news announcements affect jumps and cojumps in foreign exchange markets, especially under different business cycles. We use 5-min interval from high frequency data on Euro/Dollar, Pound/Dollar and Yen/Dollar from Nov. 1, 2004 to Feb. 28, 2015. The jump detection method was proposed by Andersen et al. (2007c), Lee & Mykland (2008) and then modified by Boudt et al. (2011a) for robustness. Then we apply the two-regime smooth transition regression model of Teräsvirta (1994) to explore news effects under different business cycles. We find that scheduled news related to employment, real activity, forward expectations, monetary policy, current account, price and consumption influences forex jumps, but only FOMC Rate Decisions has consistent effects on cojumps. Speeches given by major central bank officials near a crisis also significantly affect jumps and cojumps. However, the impacts of some macroeconomic news are not the same under different economic states.

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This research was conducted to investigate whether negative brand associations attached to Russian hockey players impact their draft rankings during the National Hockey League (NHL) Entry Draft. A quantitative analysis based on various regression model specifications was used to test whether Russian players were drafted relatively equally to their counterparts in the NHL Entry Draft. The data consisted of the NHL draft picks between 1993 and 2013 and their performance statistics and physical characteristics. The results suggested that Russian players were drafted relatively equal to their counterparts from other countries. Meanwhile, Russian players who played in the CHL before the draft are actually drafted better than Canadians who played in the same league. Hence, the negative brand associations attached to Russians were unlikely to impact their draft rankings. This study redefined the so-called “Russian Factor” from a notion that allegedly damages Russian players’ rankings to one that enhances their rankings.