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Updated: Sep 9, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

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運動選手の機能テストの信頼性,検出可能な最小変化,標準誤差:体系的なレビュー

Thiago Teixeira Serafim1, Ana Paula Ramos2, Diego Ailton Prudêncio2,3

  • 1Laboratory of Sport and Exercise Psychology (LAPE), Santa Catarina State University (UDESC), Florianópolis, Brazil.

Journal of orthopaedics
|September 2, 2025
PubMed
まとめ

スポーツ選手の機能検査は 信頼性が高いが 標準化と専門的なトレーニングは 精密な結果を得る上で 極めて重要です 適切な被験者安定化も強度評価の鍵となる.

キーワード:
評価するスポーツ選手評価する機能テスト性能テスト遊び に 戻るスポーツ に 戻る

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Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
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Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

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