Rather, excited players could have reallocated attentional assets from the processing of time in the direction of the processing of recreation-associated tasks. This reallocation could have caused time losses in the recreation that were subsequently measured by the timing task. Time manufacturing data had been analyzed with the statistical package SPSS (version 13.0). Repeated-measures analyses of variance were carried out, utilizing the factors of measuring-time (earlier than and after a game session) and task type (empty 10-s interval and crammed 60-s interval).
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They had been detected by use of boxplots and had been data that lay more than 1.5 interquartile ranges lower than the first quartile or 1.5 interquartile ranges greater than the third quartile. Since the time intervals differed in absolute length, the effective time productions have been transformed into standardized manufacturing values by dividing the produced time by the respective standard time interval (Block & Zakay, 1997).
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