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Reliability and Validity01:29

Reliability and Validity

13.7K
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.
13.7K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.0K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.0K
Kendall's Coefficient of Concordance01:20

Kendall's Coefficient of Concordance

915
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
915
Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.1K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

162
Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
162
Longitudinal Research02:20

Longitudinal Research

13.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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関連する実験動画

Updated: Jan 8, 2026

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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「集中的縦断的多者データのための個々人の評定者間信頼性尺度」

Tobias Koch1, Miriam F Jaehne1, Michaela Riediger1

  • 1Friedrich-Schiller-Universität Jena, Jena, Germany.

The British journal of mathematical and statistical psychology
|December 20, 2025
PubMed
まとめ

この研究は、心理学研究における異なるタイプの評定者間の合意を評価するための新しいモデルを紹介する。関係期間とパートナーの認知的資源は、イノベーションに対する評定者の一貫性を高める。

キーワード:
共感的精度個々人の評定者一貫性縦断的構造方程式モデリング多者分析時系列分析

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A Protocol of Manual Tests to Measure Sensation and Pain in Humans
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A Protocol of Manual Tests to Measure Sensation and Pain in Humans

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関連する実験動画

Last Updated: Jan 8, 2026

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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Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
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A Protocol of Manual Tests to Measure Sensation and Pain in Humans
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A Protocol of Manual Tests to Measure Sensation and Pain in Humans

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科学分野:

  • 心理学
  • 量的心理学
  • 心理測定学

背景:

  • 評定者間信頼性は、心理学研究において不可欠である。
  • 既存のモデルは、構造的に異なる評定者タイプ(例:自己報告対パートナー報告)を扱うのに苦労することが多い。
  • 個人固有の評定者一貫性と、その予測因子を評価するための方法が必要である。

研究 の 目的:

  • 複数の構造的に異なる評定者を持つ集中的な縦断データのための新しい多レベル潜在時系列モデル(MR-MLTS)を提案する。
  • 個々人の(個人固有の)評定者一貫性係数の推定を可能にする。
  • 評定者の一貫性を外部変数にリンクすることを容易にする。

主な方法:

  • 多レベル潜在時系列モデル(MR-MLTS)を開発した。
  • Mplusと新しいRパッケージ(mlts)でモデルを実装した。
  • 100の異性カップル(86時点)からの集中的な縦断データにモデルを適用した。

主要な成果:

  • 関係期間とパートナーの認知的資源は、イノベーションに対する評定者の一貫性を積極的に予測する。
  • シミュレーション結果は、個々人の係数を推定するために必要な時点の数に焦点を当てている。
  • 参加者の数は、ランダム効果の分散を回復するために重要である。

結論:

  • MR-MLTSモデルは、複雑な対データおよび縦断研究における評定者間の一貫性を定量化するための柔軟なアプローチを提供する。
  • 調査結果は、関係要因が評定者の一貫性を形成する上で果たす役割を強調している。
  • このモデルは、測定精度と合意における個人差について貴重な洞察を提供する。