Search Results

You are looking at 1 - 4 of 4 items for :

  • "independence" x
  • Physical Education and Coaching x
  • User-accessible content x
Clear All
Open access

Lorenzo Lolli, Alan M. Batterham, Gregory MacMillan, Warren Gregson and Greg Atkinson

supplemented by conventional Pearson correlation coefficients, despite there being fewer than 30 participants in each sample. This mismatch between sample size and the appropriate statistical model violates the assumption of independence of observations and leads to both biased and overly precise statistical

Open access

James A. Betts, Javier T. Gonzalez, Louise M. Burke, Graeme L. Close, Ina Garthe, Lewis J. James, Asker E. Jeukendrup, James P. Morton, David C. Nieman, Peter Peeling, Stuart M. Phillips, Trent Stellingwerff, Luc J.C. van Loon, Clyde Williams, Kathleen Woolf, Ron Maughan and Greg Atkinson

 = 10. This approach breaks the assumption of independence of cases, inflates degrees of freedom, and can be misleading: Indeed, within-subjects correlations between two variables measured over time may be different from between-subjects correlations between two variables measured at the same point in

Full access

Kelly P. Arbour-Nicitopoulos, Viviane Grassmann, Krystn Orr, Amy C. McPherson, Guy E. Faulkner and F. Virginia Wright

; companions > coaches > supervisors on measures of self-concept, acceptance, interpersonal skills, self-esteem, confidence, independence; peer acceptance; companion perceived as well trained and matched to the child; social network, educational, and leisure opportunities; parental pride Turnnidge et

Full access

Ken Pitetti, Ruth Ann Miller and E. Michael Loovis

subtest BAL, and six items within subtest BLC) with %Ceiling as the dependent variable. Assumptions for probability distributions independence were met except for normality and homogeneity. In that the tests were stopped once the participant reached ceiling scores, normal distribution could not be assumed