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Real Research with Fake Data: A Tutorial on Conducting Computer Simulation for Research and Teaching.

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Τίτλος: Real Research with Fake Data: A Tutorial on Conducting Computer Simulation for Research and Teaching.
Συγγραφείς: Sturman, Michael C.
Πηγή: Organizational Research Methods; Jan2025, Vol. 28 Issue 1, p76-113, 38p
Θεματικοί όροι: Computer simulation, Quantitative research, ChatGPT, Research methodology, Kurtosis
Περίληψη: Although many have recognized the value of computer simulations as a research tool, instruction on building computer simulations is absent from most doctoral education and research methods texts. This paper provides an introductory tutorial on computer simulations for research and teaching. It shows the techniques needed to create data based on desired relationships among the variables or based on a specified model. The paper also introduces techniques to make data more "interesting," including adding skew or kurtosis, creating multi-item measures with unreliability, making data multilevel, and incorporating mediated, moderated, and nonlinear relationships. The methods described in the paper are illustrated using Excel, Mplus, and R; furthermore, the functionality of using ChatGPT to create code in R is explored and compared to the paper's illustrative examples. Supplemental files are provided that illustrate each example used in the paper as well as several more advanced techniques mentioned in the paper. The goal of this paper is not to help inform experts on simulation; rather, it is to open up to all readers the powerful potential of this research and teaching tool. [ABSTRACT FROM AUTHOR]
Copyright of Organizational Research Methods is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Organizational Research Methods; Jan2025, Vol. 28 Issue 1, p76-113, 38p
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  Data: Although many have recognized the value of computer simulations as a research tool, instruction on building computer simulations is absent from most doctoral education and research methods texts. This paper provides an introductory tutorial on computer simulations for research and teaching. It shows the techniques needed to create data based on desired relationships among the variables or based on a specified model. The paper also introduces techniques to make data more "interesting," including adding skew or kurtosis, creating multi-item measures with unreliability, making data multilevel, and incorporating mediated, moderated, and nonlinear relationships. The methods described in the paper are illustrated using Excel, Mplus, and R; furthermore, the functionality of using ChatGPT to create code in R is explored and compared to the paper's illustrative examples. Supplemental files are provided that illustrate each example used in the paper as well as several more advanced techniques mentioned in the paper. The goal of this paper is not to help inform experts on simulation; rather, it is to open up to all readers the powerful potential of this research and teaching tool. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Organizational Research Methods is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: ChatGPT
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      – SubjectFull: Kurtosis
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              Text: Jan2025
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