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Proportional Sampling
Proportional sampling is a method of sampling in which the investigator divides a finite population into subpopulations and then applies random sampling techniques to each subpopulation. Proportional sampling is similar to proportional allocation in finite population sampling, but in a different context, it also refers to other survey sampling situations. For a finite population with population size N, the population is divided into H strata (subpopulations) according to certain attributes. The size of the hth stratum is denoted as Nh and 
. Proportional sampling refers to a design with total sample size n such that
and
Following that, a simple random sample with sample size nh would be selected within each stratum. This is essentially the same as the stratified random sampling design with proportional allocation, ...
- Descriptive Statistics
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- Hypothesis Testing
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- Beta
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- One-Tailed Test
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- Significance Level, Interpretation and Construction
- Significance, Statistical
- Two-Tailed Test
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- Important Publications
- “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
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- Nonparametric Statistics
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- Theories, Laws, and Principles
- Bayes's Theorem
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- Correspondence Principle
- Critical Theory
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- Item Response Theory
- Occam's Razor
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- Theory
- Theory of Attitude Measurement
- Weber–Fechner Law
- Types of Variables
- Validity of Scores
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