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Mauchly Test
The Mauchly test (or Mauchly's test) assesses the validity of the sphericity assumption that underlies repeated measures analysis of variance (ANOVA). Developed in 1940 by John W. Mauchly, an electrical engineer who codeveloped the first general-purpose computer, the Mauchly ...
- Descriptive Statistics
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- Hypothesis Testing
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- Nonsignificance
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- One-Tailed Test
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- Significance Level, Concept of
- Significance Level, Interpretation and Construction
- Significance, Statistical
- Two-Tailed Test
- Type I Error
- Type II Error
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- “Coefficient Alpha and the Internal Structure of Tests”
- “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix”
- “Meta-Analysis of Psychotherapy Outcome Studies”
- “On the Theory of Scales of Measurement”
- “Probable Error of a Mean, The”
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- “Technique for the Measurement of Attitudes, A”
- “Validity”
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- Doctrine of Chances, The
- Logic of Scientific Discovery, The
- Nonparametric Statistics for the Behavioral Sciences
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- Coefficient of Variation
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- Order Effects
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- Error Rates
- Expected Value
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- Intraclass Correlation
- Latent Variable
- Likelihood Ratio Statistic
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- Multilevel Modeling
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- Kolmogorov-Smirnov Test
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- Mauchly Test
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- z Test
- Theories, Laws, and Principles
- Bayes's Theorem
- Central Limit Theorem
- Classical Test Theory
- Correspondence Principle
- Critical Theory
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- Item Response Theory
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- Positivism
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- Theory
- Theory of Attitude Measurement
- Weber-Fechner Law
- Types of Variables
- Validity of Scores
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