SAMPLE SIZE DETERMINATION TECHNIQUES FOR MULTIVARIATE BEHAVIORAL SCIENCES RESEARCH EMPHASIZING SEM
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Abstract
The most frequently asked question concerning sampling for multivariate behavioral sciences research is, "What sample size do researcher need?" The answer to this question is influenced by a number of factors, including the purpose of the study, population size, analysis technique, error, the risk of selecting a "bad" sample size, and the sample size for estimate error. Interested readers may obtain a more detailed discussion of the purpose of the study and population size in Sampling. This paper reviews criteria for specifying a sample size for multivariate behavioral sciences research and presents several strategies for determining the sample size for multivariate behavioral sciences research. The conclusion of this article proposes a method for determining the appropriate sample size for multivariate behavioral sciences research. It suggests the following guide: 50: very poor 100: poor 200: fair 300: good 500: very good 1000: excellent 1200: exceptional 1500: profound. Determining the appropriate the sample size for multivariate behavioral sciences research consisting of two conditions which are (1) The condition for the parameters of various statistical techniques such as EFA, CFA, SEM, MSEM, etc. and (2) The second is the condition of the population representative. The sample size must be sufficient for the generalized to the population. If considered through the first conditions, the researchers must consider the minimum sufficiency in the second condition.
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