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Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach

Year: 2024

Type: supplementary-materials

Abstract: On-line supplement for the article "Solving Variables with Monte Carlo Simulation Experiments:A Stochastic Root-Solving Approach".This supplement contains SimDesign code (Chalmers & Adkins, 2020) relevant for solving sample sizes, condence interval widths, and expected power using the SimSolve() function. Strategy for Deciding on Sample Size in Structural Equation Models Code associated with the subsection Strategy for Deciding on Sample Size in Structural EquationModels for a conrmatory factor analysis model with two latent variables, where interest is in the latent correlation parameter ϕ.

Source: Psychological Methods

DOI: 10.1037/met0000689.supp

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W4402271807

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