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How can one design a future sampling study to have a lower bound? How could more...

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Basic Math

How can one design a future sampling study to have alower bound? How could more information be used?

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LOWER BOUNDS ON SAMPLE SIZE IN STRUCTURAL EQUATION MODELING Computationally intensive structural equation modeling SEM approaches have been in development over much of the 20th century initiated by the seminal work of Sewall Wright To this day sample size requirements remain a vexing question in SEM based studies Complexities which increase information demands in structural model estimation increase with the number of potential combinations of latent variables while the information supplied for estimation increases with the number of measured parameters times the number of observations in the sample size both are nonlinear This alone would imply that requisite sample size is not a linear function solely of indicator count even though such heuristics are widely invoked in justifying SEM sample size This paper develops two lower bounds on sample size in SEM the first as a    See Answer
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