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Criterion Problem
The term criterion problem refers to a general problem in regression analysis, especially when used for selection, when the criterion measure that is easily obtainable is not a good approximation of the actual criterion of interest. In other words, the criterion problem refers to the problem that measures of the criterion performance behaviors in which the researcher or practitioner is interested in predicting are not readily available. For example, although specific sets of performance behaviors are desirable in academic and employment settings, often the easily obtainable measures are 1st-year grade point averages (GPAs) and supervisory ratings of job performance. The criterion problem is that those easily obtainable measures (GPA and supervisory performance ratings) are not good measures of important performance behaviors. The criterion is said ...
- Descriptive Statistics
- Distributions
- Graphical Displays of Data
- Hypothesis Testing
- p Value
- Alternative Hypotheses
- Beta
- Critical Value
- Decision Rule
- Hypothesis
- Nondirectional Hypotheses
- Nonsignificance
- Null Hypothesis
- One-Tailed Test
- Power
- Power Analysis
- Significance Level, Concept of
- Significance Level, Interpretation and Construction
- Significance, Statistical
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- Type I 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”
- “Psychometric Experiments”
- “Sequential Tests of Statistical Hypotheses”
- “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
- Statistical Power Analysis for the Behavioral Sciences
- Teoria Statistica Delle Classi e Calcolo Delle Probabilità
- Inferential Statistics
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- Autocorrelation
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- Collinearity
- Correlation
- Criterion Problem
- Critical Difference
- Data Mining
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- Degrees of Freedom
- Directional Hypothesis
- Disturbance Terms
- Error Rates
- Expected Value
- Fixed-Effects Model
- Inclusion Criteria
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- Wilcoxon Rank Sum 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
- Occam's Razor
- Paradigm
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- Theory
- Theory of Attitude Measurement
- Weber–Fechner Law
- Types of Variables
- Validity of Scores
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