How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
| Autor: | Linda K. Muthén, Bengt Muthén |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Sociology and Political Science
Monte Carlo method General Decision Sciences Missing data Confirmatory factor analysis Statistical power Power (physics) Rule of thumb Sample size determination Modeling and Simulation Statistics Econometrics Psychology General Economics Econometrics and Finance Reliability (statistics) |
| Zdroj: | Structural Equation Modeling: A Multidisciplinary Journal. 9:599-620 |
| ISSN: | 1532-8007 1070-5511 |
| DOI: | 10.1207/s15328007sem0904_8 |
| Popis: | A common question asked by researchers is, "What sample size do I need for my study?" Over the years, several rules of thumb have been proposed. In reality there is no rule of thumb that applies to all situations. The sample size needed for a study depends on many factors, including the size of the model, distribution of the variables, amount of missing data, reliability of the variables, and strength of the relations among the variables. The purpose of this article is to demonstrate how substantive researchers can use a Monte Carlo study to decide on sample size and determine power. Two models are used as examples, a confirmatory factor analysis (CFA) model and a growth model. The analyses are carried out using the Mplus program (Muthen& Muthen 1998). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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