scholarly journals Prepivoting composite score statistics by weighted bootstrap iteration

2015 ◽  
Vol 43 (1) ◽  
pp. 18-41 ◽  
Author(s):  
Nicola Lunardon
Keyword(s):  
Composite Score ◽  
Weighted Bootstrap ◽  
Score Statistics ◽  
Bootstrap Iteration

Prepivoting by weighted bootstrap iteration

Biometrika ◽  
2003 ◽  
Vol 90 (2) ◽  
pp. 393-410 ◽  
Author(s):  
S. M. S. Lee
Keyword(s):  
Weighted Bootstrap ◽  
Bootstrap Iteration

Pattern of Near Transfer Effects Following Working Memory Training With a Dual N-Back Task

2017 ◽  
Vol 64 (4) ◽  
pp. 240-252 ◽  
Author(s):  
Anna Soveri ◽  
Eric P. A. Karlsson ◽  
Otto Waris ◽  
Petra Grönholm-Nyman ◽  
Matti Laine
Keyword(s):  
Working Memory ◽  
Controlled Trial ◽  
Composite Score ◽  
Memory Training ◽  
Interference Control ◽  
Transfer Effects ◽  
Near Transfer ◽  
Randomized Controlled ◽  
Transfer Tasks ◽  
Back Task

Abstract. In a randomized controlled trial, we investigated the pattern of near transfer effects of working memory (WM) training with an adaptive auditory-visuospatial dual n-back training task in healthy young adults. The results revealed significant task-specific transfer to an untrained single n-back task, and more general near transfer to a WM updating composite score plus a nearly significant effect on a composite score measuring interference control in WM. No transfer effects were seen on Active or Passive WM composites. The results are discussed in the light of cognitive versus strategy-related overlap between training and transfer tasks.

Diagnostik der Leberfibrose bei nicht-alkoholischer Fettlebererkrankung mittels Composite Score aus einem Eicosanoid, einer Gallensäure und einem Androgen

2018 ◽  
Vol 56 (08) ◽  
pp. e284-e284
Author(s):  
F Stickel ◽  
S Schulze Pellengahr ◽  
S Neuber ◽  
B Kamlage ◽  
A Wagner-Golbs ◽  
...  
Keyword(s):  
Composite Score

5.14 Psychometric Properties of a Novel Vineland-II 2-Domain Composite Score to Assess Social Communication and Social Interaction in ASD

2018 ◽  
Vol 57 (10) ◽  
pp. S231-S232
Author(s):  
Robert L. Findling ◽  
Stephanie Le Scouiller ◽  
Lisa Squassante ◽  
Kevin Sanders ◽  
Janice Smith ◽  
...  
Keyword(s):  
Social Interaction ◽  
Psychometric Properties ◽  
Social Communication ◽  
Composite Score

A comparison of functional movement patterns between female low back pain developers and non-pain developers

Work ◽  
2021 ◽  
pp. 1-8
Author(s):  
Fatemeh Khoshroo ◽  
Foad Seidi ◽  
Reza Rajabi ◽  
Abbey Thomas
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Muscle Activation ◽  
Statistical Significance ◽  
Movement Patterns ◽  
Composite Score ◽  
Quality Data ◽  
Low Back ◽  
Functional Movement ◽  
Prolonged Standing

BACKGROUND: Distinctive features of low back pain-developers (LBPDs) as pre-clinical low back pain (LBP) population have been evidenced in three areas of alignment, muscle activation, and movement patterns. To clarify whether the reported altered functional movement patterns in chronic LBP patients result from or result in LBP disorders, LBPDs’ functional movement patterns should be investigated. OBJECTIVES: This study aimed to compare female LBPDs’ functional movement patterns with non-pain developers’ (NPDs). METHODS: Sixty female LBPDs and NPDs were recruited based on the research requirements. The Functional Movement Screen (FMS) was used to investigate movement quality. Data were compared between groups via Mann-Whitney U tests and correlation analyses examined association between pain intensity and onset during prolonged standing and the FMS score. Receiver Operating Characteristic Curves and Chi Squares were conducted to find the best cutoff points. An alpha level of p≤0.05 was used to establish statistical significance. RESULTS: LBPDs scored significantly lower, or rather worse than NPDs in the FMS composite score (12.06±1.33 vs. 16.43±1.59, U = 3, P <  0.001). Moreover, the optimal cutoff scores of≤14 on the FMS, 2 on the push-up, and 1 on the deep squat discriminated between female LBPDs and NPDs. The FMS composite score was correlated negatively with LBP intensity (r (60) = –0.724, p <  0.001) and positively with LBP onset (r (60) = 0.277, p = 0.032) during prolonged standing. Finally, the results indicated that female LBPDs presented with at least one bilateral asymmetry on the FMS had 10 times (95%CI, 2.941–34.008) and with at least two bilateral asymmetries on the FMS had 15.5 times (95%CI, 3.814–63.359) higher odds of developing LBP during prolonged standing than NPDs. CONCLUSIONS: Female LBPDs, who are at higher risk for developing LBP in the future, have significantly lower quality of functional movement patterns compared to NPDs. Moreover, the FMS appears to show promise for predicting individuals who are at risk for LBP development during prolonged standing.

Adolescent Popularity as a Nonlinear, Two-Dimensional Construct: Convergent Results From Three Large Samples

2021 ◽  
pp. 027243162110160
Author(s):  
Peter E. L. Marks ◽  
Ben Babcock ◽  
Yvonne H. M. van den Berg ◽  
Rob Gommans ◽  
Antonius H. N. Cillessen
Keyword(s):  
Early Adolescents ◽  
Composite Score ◽  
Two Dimensional ◽  
Behavioral Correlates ◽  
Large Samples ◽  
Three Samples ◽  
Peer Nominations

The goal of this study was to advance the conceptualization and measurement of adolescent popularity by exploring the commonly used composite score (popularity minus unpopularity). We used standardized peer nominations from 4,414 early adolescents (ages ≈ 12-14 years) from three samples collected in two countries. Popularity and unpopularity were strongly related, but not linearly; scatterplots of the two variables resembled an L-shaped right angle. Subsequent analyses indicated that either including popularity as a curvilinear term or including both popularity and unpopularity as separate terms explained significantly more variance in social and behavioral correlates than linear, bivariate analyses using popularity, unpopularity, or composite popularity. These results suggest that researchers studying adolescent popularity should either separate popularity and unpopularity or treat composite popularity as curvilinear.

scholarly journals Home sweet home: Quantifying home court advantages for NCAA basketball statistics

2021 ◽  
pp. 1-12
Author(s):  
Matthew van Bommel ◽  
Luke Bornn ◽  
Peter Chow-White ◽  
Chuancong Gao
Keyword(s):  
Regression Model ◽  
National Collegiate Athletic Association ◽  
Score Statistic ◽  
Present Evidence ◽  
Home Team ◽  
The Road ◽  
Score Statistics ◽  
Location Games ◽  
On The Road ◽  
Measures Of Performance

Box score statistics are the baseline measures of performance for National Collegiate Athletic Association (NCAA) basketball. Between the 2011-2012 and 2015-2016 seasons, NCAA teams performed better at home compared to on the road in nearly all box score statistics across both genders and all three divisions. Using box score data from over 100,000 games spanning the three divisions for both women and men, we examine the factors underlying this discrepancy. The prevalence of neutral location games in the NCAA provides an additional angle through which to examine the gaps in box score statistic performance, which we believe has been underutilized in existing literature. We also estimate a regression model to quantify the home court advantages for box score statistics after controlling for other factors such as number of possessions, and team strength. Additionally, we examine the biases of scorekeepers and referees. We present evidence that scorekeepers tend to have greater home team biases when observing men compared to women, higher divisions compared to lower divisions, and stronger teams compared to weaker teams. Finally, we present statistically significant results indicating referee decisions are impacted by attendance, with larger crowds resulting in greater bias in favor of the home team.

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