Fehlende Werte in sportwissenschaftlichen Untersuchungen

Jekauc, Darko; Völkle, Manuel; Lämmle, Lena; Wöll, Alexander

doi:10.1007/s12662-012-0249-5

Cited by 26 publications

(19 citation statements)

References 12 publications

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“…As missing values can lead to unwanted distortions in statistical analysis (e.g., biased parameter estimates and reduced sample size) and Little's test showed that current data points were missing at random rather than missing completely at random, multiple imputation with m = 10 imputations and a maximum of k = 10 iterations was carried out by means of the R package mice to impute missing values (Jekauc, Völkle, Lämmle, & Woll, 2012;Little, 1988;Stuart, Azur, Frangakis, & Leaf, 2009; van Buuren & Groothuis-Oudshoorn, 2011). All variables in the dataset were defined as predictors as well as imputation variables.…”

Section: Discussionmentioning

confidence: 99%

“…After creating the complete datasets, all of the following data analysis procedures were conducted for each of the imputed datasets. Finally, the results of point estimates (mean of the estimates from completed datasets) and interval estimates (considering the within-and between-imputation variance of the completed datasets) were pooled with reference to Rubins' Rule (Jekauc et al, 2012). The first step in data analysis calculated two classification models per age group to predict U20 player status (professional or non-professional): one for GMP (40m sprint, agility, counter movement jump, Yo-Yo intermittent recovery test) and one for SMP (dribbling, passing, juggling, shooting).…”

Section: Discussionmentioning

confidence: 99%

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Talent selection in youth football: Technical skills rather than general motor performance predict future player status of football talents

Sieghartsleitner

Zuber

Zibung

et al. 2019

CISS

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Recommended multidimensional models for talent selection are difficult to implement for practitioners in the field. Furthermore, their application has not been established from a scientific point of view, with a lack of clarity concerning how to integrate manifold test results with respect to loading, interaction, and compensation phenomena. Consequently, the question of powerful single predictors for future player status are still of interest within talent research in order to determine promising content for less extensive selection procedures. The aim of the current study is an immediate comparison of the prognostic validity of two frequently used areas within talent selection in youth football: general motor performance (e.g., speed and endurance) and specific motor performance (i.e., technical skills). Participants completed four general and four specific motor performance tests at early adolescence (U13/U14, 133 players) and middle adolescence (U16/U17, 85 players). The area under the curve (AUC) from the receiver operating characteristic was used to compare the prognostic validity of both motor performance areas (predicting U20 player status: professional vs. non-professional). Although no comparison at the four different age levels led to a significant difference (.07 ≤ p ≤ .65), there was a continuous superiority of specific over general motor performance in descriptive AUC values. These descriptive differences reached relevant extent within early adolescence (ΔAUCU13 = .09; ΔAUCU14 =.14) and were partially accounted for by the influence of biological maturation. In line with theoretical considerations and earlier research, these results provide further evidence of the superiority of specific over general motor performance in predicting future player status. Until the applicability of multidimensional models is further established, specific motor performance rather than general performance should be included in less extensive talent selection models, especially in early adolescence.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Talent selection in youth football: Technical skills rather than general motor performance predict future player status of football talents

Sieghartsleitner

Zuber

Zibung

et al. 2019

CISS

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“…1) was analysed with the MCAR-Test (missing completely at random) by Little. Afterwards, a multiple imputation for monotone missing data with ten imputations (Jekauc et al 2012) was performed with SPSS to maintain a complete dataset of all randomized 78 cases. With the Levene test (if necessary including Lilliefors correction), the normal distribution of the data was inspected statistically.…”

Section: Discussionmentioning

confidence: 99%

Training in the functional movement circle to promote strength and mobility-related activities in older adults: a randomized controlled trial

Morat

Mechling

2014

Eur J Ageing

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Movements of everyday life (e.g., climbing stairs, rising from a chair, walking) are essential for older adults to stay functional and independent. Due to the aging process, muscle mass decreases and balance abilities are reduced. One major criticism of former interventions is that implemented resistance and balance exercises were not associated with movements needed in older adults' everyday life. The Functional Movement Circle for older adults (FuMoC) includes the combination of three aspects: resistance, balance, and movements of everyday life. The aim of this study was to compare the effects of training in the FuMoC with those of other training programs. A randomized controlled trial (RCT) with three intervention groups (IG1: FuMoC; IG2: resistance and balance training; IG3: coordination training) with a training period of 6 months and one inactive control group (CG) was conducted. At baseline (T1), after three (T2) and six (T3) months, parameters of strength (isometric strength measurement and One-Repetition Maximum test in leg and chest press) and mobility-related activities (gait analysis, Multisurface Obstacle Test for Older Adults (MSOT),Step Length Test (MSLT)) were assessed as primary outcomes. Data of 78 (43 males, 35 females) older adults were analyzed (mean age: 68.4 years). Significant (p \ 0.05) interactions between time and group were observed in most of the primary outcomes. IG1 showed the highest improvement rates in MSOT (?16 %), CRT (?28 %), TUG (?14 %), and MSLT (?15 %); demonstrating advantages of training in the FuMoC compared to other training programs.

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“…Missing data were analysed with the MCAR-Test (missing completely at random) by Little. Afterwards, a multiple imputation for monotone missing data with 15 imputations [ 40 , 41 ] was conducted with SPSS to maintain a complete dataset of all 23 randomised cases. With the Shapiro-Wilk test, the normal distribution of the data was inspected statistically.…”

Section: Methodsmentioning

confidence: 99%

Effects of 12 weeks of Nordic Walking and XCO Walking training on the endurance capacity of older adults

Morat

Krueger

Gaedtke

et al. 2017

Eur Rev Aging Phys Act

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BackgroundSeveral studies have already examined the positive effects of various forms of endurance training in patient groups and in healthy adults up to 60 years old. The aim of this study was to analyse the effects of Nordic Walking (NW) and XCO Walking (XCO) training on endurance capacity in healthy older adults, aged 60 years and older.MethodsTwenty-three older participants (mean age: 69.9 ± 5.4 years) were randomly assigned to either the NW group or the XCO group. All participants were measured before and after the 12 weeks of endurance training (2 sessions/week) to examine oxygen uptake (VO2) and energy consumption during an outdoor field test. In addition, heart rates were recorded and lactate samples were collected.ResultsNW mainly demonstrated some significant (p < 0.05) decreases in heart rate, lactate concentration at lower to moderate walking speeds, whereas XCO Walking revealed significant (p < 0.05) decreases in lactate concentration and VO2 at low to higher walking speeds.ConclusionsNW as well as XCO training increase the efficiency of the cardio-vascular system in older subjects. Both training approaches are suitable options for endurance training, which may serve to counteract age- and inactivity-related decreases in cardio-vascular functioning as well as aid in maintaining overall performance in older adults.

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Fehlende Werte in sportwissenschaftlichen Untersuchungen

Cited by 26 publications

References 12 publications

Talent selection in youth football: Technical skills rather than general motor performance predict future player status of football talents

Talent selection in youth football: Technical skills rather than general motor performance predict future player status of football talents

Training in the functional movement circle to promote strength and mobility-related activities in older adults: a randomized controlled trial

Effects of 12 weeks of Nordic Walking and XCO Walking training on the endurance capacity of older adults

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