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Standard Error of Measurement
The standard error of measurement is a statistic that indicates the variability of the errors of measurement by estimating the average number of points by which observed scores are away from true scores. To understand standard error of measurement, an introduction of basic concepts in reliability theory is necessary. Therefore, this entry first examines true scores and error of measurement and variance components. Next, this entry discusses the standard error of measurement and its uses. Last, this entry comments on methods for reducing measurement error.
True Score and Error of Measurement
When psychological tests are administered, points on items measuring the same construct are aggregated to generate the raw score for each respondent. The raw score, or observed score, can be conceptualized as the sum of two ...
- Bayesian Statistics
- Descriptive Statistics
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- Cohen’s d Statistic
- Cohen’s f Statistic
- Correspondence Analysis
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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”
- “Psychometric Experiments”
- “Sequential Tests of Statistical Hypotheses”
- “Structural Holes: The Social Structure of Competition”
- “Technique for the Measurement of Attitudes, A”
- “Validity”
- Aptitudes and Instructional Methods
- Doctrine of Chances, The
- Logic of Scientific Discovery, The
- Nonparametric Statistics for the Behavioral Sciences
- Probabilistic Models for Some Intelligence and Attainment Tests
- Social Network Analysis Methodsand Applications
- Statistical Power Analysis for the Behavioral Sciences
- Strength of Weak Ties
- Structural Equivalence of Individuals in Social Networks
- Teoria Statistica Delle Classi e Calcolo Delle Probabilità
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- Statistical Tests
- F Test
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- z Test
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- Chi-Square Test
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- Duncan’s Multiple Range Test
- Dunnett’s Test
- Fisher’s Least Significant Difference Test
- Friedman Test
- Hosmer-Lemeshow Test
- Kolmogorov–Smirnov Test
- Kruskal–Wallis Test
- Mann–Whitney U Test
- Mauchly Test
- McNemar’s Test
- Multiple Comparison Tests
- Newman–Keuls Test
- Omnibus Tests
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- Structural Equation Modeling
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