scholarly journals Data irregularities across five implicit learning articles: Comments on Lola and Tzetzis (2021), Lola and Tzetzis (2020), Tzetzis and Lola (2015), Lola, Tzetzis, and Zetou (2012), and Tzetzis and Lola (2010)

2021 ◽  
Author(s):  
Brad McKay ◽  
Michael J Carter
Keyword(s):  
Motor Learning ◽  
Implicit Learning ◽  
Pairwise Comparison ◽  
Effect Sizes ◽  
Test Statistics ◽  
Deductive Logic ◽  
Eta Squared ◽  
Calculated Effect ◽  
D Values ◽  
Main Effects

We present a critical re-analysis of five implicit learning papers published by the same authors between 2010 and 2021. We calculated effect sizes for each pairwise comparison reported in the papers using the data published in each article. We further identified mathematically impossible data reported in multiple papers, either with deductive logic or by conducting a GRIMMER analysis of reported means and standard deviations. We found the pairwise effect sizes were implausible in all five articles in question, with Cohen’s d values often exceeding 100 and sometimes exceeding 1000. Impossible statistics were reported in four out of the five articles. Reported test statistics and eta-squared values were also implausible, with several eta-squared = .99 and even eta-squared = 1.0 for between-subjects main effects. The results reported in the five articles in question are unreliable. Many of the problems we identified could be spotted without further analysis, highlighting the need for adequate statistical training in the field of motor learning.

scholarly journals THE EFFECT OF SELF-CONTROLLED AND EXPERIMENTER-CONTROLLED FREQUENCY OF MODEL DEMONSTRATION ON LEARNING A COMPLEX GYMNASTIC ROUTINE

2021 ◽  
Author(s):  
Jerzy Sadowski ◽  
Tomasz Niźnikowski ◽  
Andrzej Mastalerz ◽  
Weronika Łuba-Arnista ◽  
Michał Biegajło
Keyword(s):  
Repeated Measures ◽  
Vertical Jump ◽  
Pairwise Comparison ◽  
Effect Sizes ◽  
Significant Group ◽  
Eta Squared ◽  
Group A ◽  
Transfer Group ◽  
Post Hoc ◽  
Expert Ratings

The purpose of the present study was to examine the effectiveness of learning a complex gymnastic routine with different frequencies of model demonstration controlled by the experimenter or self-controlled by learners. Fifty undergraduate physical education (PE) students were randomly assigned to 5 training groups: GF100 (100% frequency), GF20 (20% frequency), GFF (faded frequency), GSF (self-controlled frequency) and GYF (yoked group). All five groups followed the same experimental design, with one difference: groups GF100, GF20 and GFF observed model demonstration under externally controlled frequency, whereas group GSF self-controlled that condition. Participants were asked to perform a complex gymnastic routine (maximum vertical jump) with swinging the arms forwards and upwards, pulling the knees up to the chest while grabbing the shins followed by a half-squat landing with arms extended sidewards. During the acquisition phase, all the participants completed a total of 150 trials, with 15 trials completed in three blocks during each of the ten practice sessions. In the present study, we used expert ratings based on the FIG-COP to evaluate movement quality. For each trial, three gymnastic judges assessed the performance. To assess the differences between the five groups, a repeated measures ANOVA was conducted on the last factor for retention and transfer (Group x Test) and practice (Group x Practice). Partial eta squared (ηp2) effect sizes were calculated for multiple comparisons and Cohen’s d effect sizes were calculated for pairwise comparisons. Post-hoc Fisher’s LSD test was used for pairwise comparison. No significant Group x Test interaction or Group main effect was found, indicating that no group performed better than another in retention immediate, delayed and transfer tests. For each group, a significant improvement compared to baseline was observed in the retention and transfer tests (d > 0.8). The most important finding from the current study was that groups under self-controlled and experimenter-controlled frequency of model observing appeared similarly effective in learning a complex gymnastic routine. No significant differences were observed between the five groups in retention and transfer tests.

scholarly journals Effects of kinship correction on inflation of genetic interaction statistics in commonly used mouse populations

2021 ◽  
Author(s):  
Anna L Tyler ◽  
Baha El Kassaby ◽  
Georgi Kolishovski ◽  
Jake Emerson ◽  
Ann E Wells ◽  
...  
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Genetic Interaction ◽  
Recombinant Inbred Lines ◽  
Test Statistics ◽  
Test Statistic ◽  
Kinship Matrix ◽  
Main Effect ◽  
Main Effects ◽  
Interaction Test

Abstract It is well understood that variation in relatedness among individuals, or kinship, can lead to false genetic associations. Multiple methods have been developed to adjust for kinship while maintaining power to detect true associations. However, relatively unstudied, are the effects of kinship on genetic interaction test statistics. Here we performed a survey of kinship effects on studies of six commonly used mouse populations. We measured inflation of main effect test statistics, genetic interaction test statistics, and interaction test statistics reparametrized by the Combined Analysis of Pleiotropy and Epistasis (CAPE). We also performed linear mixed model (LMM) kinship corrections using two types of kinship matrix: an overall kinship matrix calculated from the full set of genotyped markers, and a reduced kinship matrix, which left out markers on the chromosome(s) being tested. We found that test statistic inflation varied across populations and was driven largely by linkage disequilibrium. In contrast, there was no observable inflation in the genetic interaction test statistics. CAPE statistics were inflated at a level in between that of the main effects and the interaction effects. The overall kinship matrix overcorrected the inflation of main effect statistics relative to the reduced kinship matrix. The two types of kinship matrices had similar effects on the interaction statistics and CAPE statistics, although the overall kinship matrix trended toward a more severe correction. In conclusion, we recommend using a LMM kinship correction for both main effects and genetic interactions and further recommend that the kinship matrix be calculated from a reduced set of markers in which the chromosomes being tested are omitted from the calculation. This is particularly important in populations with substantial population structure, such as recombinant inbred lines in which genomic replicates are used.

scholarly journals Implicit motor learning within three trials

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jennifer E. Ruttle ◽  
Bernard Marius ’t Hart ◽  
Denise Y. P. Henriques
Keyword(s):  
Motor Learning ◽  
Implicit Learning ◽  
Time Course ◽  
Skills Training ◽  
Implicit Processes ◽  
Training Performance ◽  
Slow Development ◽  
Implicit Motor Learning ◽  
Implicit Motor ◽  
And Shifts

AbstractIn motor learning, the slow development of implicit learning is traditionally taken for granted. While much is known about training performance during adaptation to a perturbation in reaches, saccades and locomotion, little is known about the time course of the underlying implicit processes during normal motor adaptation. Implicit learning is characterized by both changes in internal models and state estimates of limb position. Here, we measure both as reach aftereffects and shifts in hand localization in our participants, after every training trial. The observed implicit changes were near asymptote after only one to three perturbed training trials and were not predicted by a two-rate model’s slow process that is supposed to capture implicit learning. Hence, we show that implicit learning is much faster than conventionally believed, which has implications for rehabilitation and skills training.

Beyond Tero Saarinen Technique: Method of Hybrid Pedagogy in Action.

2017 ◽  
Vol 8 (2) ◽  
pp. 82-87
Author(s):  
Hanna Pohjola ◽  
Sini Länsivuori
Keyword(s):  
Motor Learning ◽  
Implicit Learning ◽  
Teaching Methods ◽  
Hybrid Teaching

Abstract Current neurocognitive research on dance and motor learning recommends the use of hybrid teaching methods in which explicit and implicit learning complement each other. This article describes experiences of hybrid teaching and offers an overview of two Tero Saarinen technique–and–repertoire master classes pedagogically designed according to hybrid teaching and motor learning. This article discusses the participants’ feedback and shares an encouraging example of hybrid teaching.

Sensorimotor knowledge from task-irrelevant feedback contributes to motor learning

2021 ◽  
Author(s):  
Wanying Jiang ◽  
Yajie Liu ◽  
Yuqing Bi ◽  
Kunlin Wei
Keyword(s):  
Motor Learning ◽  
Perceptual Learning ◽  
Implicit Learning ◽  
Motor Adaptation ◽  
Strategic Learning ◽  
Visuomotor Rotation ◽  
Saving Effect ◽  
Sensorimotor Knowledge ◽  
Sensory Processes ◽  
Task Irrelevant

Exposure to task-irrelevant feedback leads to perceptual learning, but its effect on motor learning has been understudied. Here we asked human participants to reach a visual target with a hand-controlled cursor while observing another cursor moving independently in a different direction. While the task-irrelevant feedback did not change the main task's performance, it elicited robust savings in subsequent adaptation to classical visuomotor rotation perturbation. We demonstrated that the saving effect resulted from a faster formation of strategic learning through a series of experiments, not from gains in the implicit learning process. Furthermore, the saving effect was robust against drastic changes in stimulus features (i.e., rotation size or direction) or task types (i.e., for motor adaptation and skill learning). However, the effect was absent when the task-irrelevant feedback did not carry the visuomotor relationship embedded in visuomotor rotation. Thus, though previous research on perceptual learning has related task-irrelevant feedback to changes in early sensory processes, our findings support its role in acquiring abstract sensorimotor knowledge during motor learning. Motor learning studies have traditionally focused on task-relevant feedback, but our study extends the scope of feedback processes and sheds new light on the dichotomy of explicit and implicit learning in motor adaptation as well as motor structure learning.

Effect of Quiet Eye and Quiet Mind Training on Motor Learning Among Novice Dart Players

Motor Control ◽  
2020 ◽  
Vol 24 (2) ◽  
pp. 204-221
Author(s):  
Ebrahim Norouzi ◽  
Fatemeh Sadat Hosseini ◽  
Mohammad Vaezmosavi ◽  
Markus Gerber ◽  
Uwe Pühse ◽  
...  
Keyword(s):  
Motor Learning ◽  
Implicit Learning ◽  
Motor Skill ◽  
Stress Conditions ◽  
Fine Motor ◽  
Fine Motor Skill ◽  
Quiet Eye ◽  
Mind Training ◽  
Over Time

In sport such as darts, athletes are particularly challenged by demands for concentration, skills underpinned by implicit learning, and fine motor skill control. Several techniques have been proposed to improve the implicit learning of such skills, including quiet eye training (QET) and quiet mind training (QMT). Here, the authors tested whether and to what extent QET or QMT, compared with a control condition, might improve skills among novice dart players. In total, 30 novice dart players were randomly assigned either to the QET, QMT, or a control condition. Dart playing skills were assessed four times: at the baseline, 7 days later, under stress conditions, and at the study’s end. Over time, errors reduced, but more so in the QET and QMT conditions than in the control condition. The pattern of the results indicates that, among novice dart players and compared with a control condition, both QET and QMT provide significant improvements in implicit learning.

scholarly journals Model-Driven Treatment of Childhood Apraxia of Speech: Positive Effects of the Speech Motor Learning Approach

2018 ◽  
Vol 27 (1) ◽  
pp. 37-51 ◽  
Author(s):  
Anita van der Merwe ◽  
Mollie Steyn
Keyword(s):  
Motor Learning ◽  
Speech Errors ◽  
Effect Sizes ◽  
Learning Approach ◽  
Apraxia Of Speech ◽  
Childhood Apraxia Of Speech ◽  
Age Appropriate ◽  
Speech Motor Learning ◽  
Whole Word ◽  
Speech Motor

Purpose The aim of the study was to propose the speech motor learning approach (Van der Merwe, 2011) as a treatment for childhood apraxia of speech and to determine if it will effect positive change in the ability of a 33-month-old child to produce untreated nonwords and words containing treated age-appropriate consonants (Set 1 sounds), untreated age-appropriate consonants (Set 2), and untreated age-inappropriate consonants (Set 3) and also to determine the nature and number of segmental speech errors before and after treatment. Method An A-B design with multiple target measures and follow-up was implemented to assess the effects of treatment of Set 1. Effect sizes for whole-word accuracy were determined, and two criterion lines were generated following the conservative dual criterion method. Speech errors were judged perceptually. Results Conservative dual criterion analyses indicated no reliable treatment effect due to rising baseline scores. Effect sizes showed significant improvement in whole-word accuracy of untreated nonwords and real words containing age-appropriate treated sounds and real words containing age-appropriate untreated sounds. The number of errors for all three sound sets declined. Sound distortion was the most frequent error type. Conclusions Preliminary evidence suggests potentially positive treatment effects. However, rising baseline scores limit causal inference. Replication with more children of different ages is necessary. Supplemental Materials https://doi.org/10.23641/asha.5596708

scholarly journals A-27 Stroop Color-Word Interference Test in Alcohol Use Disorder

2019 ◽  
Vol 34 (6) ◽  
pp. 886-886
Author(s):  
A Holt ◽  
A Hauson ◽  
P Ujj ◽  
K Reszegi ◽  
N Nemanim ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Inhibitory Control ◽  
Alcohol Use Disorder ◽  
Color Word ◽  
Neuropsychological Functioning ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Calculated Effect ◽  
Interference Test ◽  
Axis I

Abstract Objective Poor inhibitory control is a characteristic of Alcohol Use Disorder (AUD) that might be associated with worse treatment outcomes because of its contribution to the likelihood of relapse. One valid and efficient tool to examine inhibitory control is the Stroop Color-Word Interference Test (Stroop inhibition). The purpose of this meta-analysis was to examine the consistency of findings on the Stroop inhibition subtest and its relationship to length of use and duration of abstinence in AUD. Data Selection Three researchers independently searched nine databases (e.g., PsycINFO, Pubmed, ProceedingsFirst), extracted required data, and calculated effect sizes. Inclusion criteria identified studies that had (a) compared participants with AUD to healthy controls and (b) matched groups on either age, education, or IQ. Studies were excluded if participants were reported to have Axis I diagnoses (other than AUD) or comorbidities known to impact neuropsychological functioning. Twelve articles were coded and analyzed for the current study. Data Synthesis Studies comparing AUD to controls showed a medium statistically significant effect size (g = 0.355, p < 0.001) with no heterogeneity (I2 = 0). Length of use and duration of abstinence did not predict effect sizes. Conclusions The Stroop inhibition measure distinguishes between AUD participants and controls. Given the robustness of this finding, the lack of heterogeneity among studies, and the extensive past use of the Stroop to measure inhibitory control; this test should be considered when examining AUD patients. This is especially important when patients exhibit poor inhibition in daily functioning.

scholarly journals Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Jean-Eudes Dazard ◽  
Hemant Ishwaran ◽  
Rajeev Mehlotra ◽  
Aaron Weinberg ◽  
Peter Zimmerman
Keyword(s):  
Pairwise Interaction ◽  
Survival Models ◽  
Test Statistics ◽  
Time To Event ◽  
Bootstrap Confidence Intervals ◽  
Pairwise Interactions ◽  
Aids Progression ◽  
Tree Models ◽  
Low Dimensional ◽  
Main Effects

Abstract Unraveling interactions among variables such as genetic, clinical, demographic and environmental factors is essential to understand the development of common and complex diseases. To increase the power to detect such variables interactions associated with clinical time-to-events outcomes, we borrowed established concepts from random survival forest (RSF) models. We introduce a novel RSF-based pairwise interaction estimator and derive a randomization method with bootstrap confidence intervals for inferring interaction significance. Using various linear and nonlinear time-to-events survival models in simulation studies, we first show the efficiency of our approach: true pairwise interaction-effects between variables are uncovered, while they may not be accompanied with their corresponding main-effects, and may not be detected by standard semi-parametric regression modeling and test statistics used in survival analysis. Moreover, using a RSF-based cross-validation scheme for generating prediction estimators, we show that informative predictors may be inferred. We applied our approach to an HIV cohort study recording key host gene polymorphisms and their association with HIV change of tropism or AIDS progression. Altogether, this shows how linear or nonlinear pairwise statistical interactions of variables may be efficiently detected with a predictive value in observational studies with time-to-event outcomes.

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