Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data (ICPSR 36953)

Version Date: Nov 7, 2017

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Principal Investigator(s):
Robert Bodily, Brigham Young University

https://doi.org/10.3886/ICPSR36953.v1

Version V1

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Summary

Propensity score analysis is widely used for simulating random assignment in observational studies where true random assignment is not possible. In propensity score modeling, a number of covariates are used to estimate the probability that an individual will belong to one of two groups. Prospective participants are then matched on their probabilities of belonging to the two groups rather than on the exact set of covariate values (as in traditional matching methods). However, traditional propensity score analysis can only be used in studies with two groups, such as an experimental and control group. In this study a new method is introduced called piecewise propensity score analysis (PPSA) for ordinal polytomous grouping variables. PPSA was compared with another method of conducting propensity score analysis with ordered categories, marginal mean weighting through stratification (MMW-S) in a 3 x 5 x 4 study across three model misspecification conditions, five matching methods, and four sample sizes (1000, 5000, 10000, 21753). No significant difference were found between PPSA and MMW-S methods across conditions. Linear regression, simple mean difference, or propensity stratification methods are recommended for simulating causal inference.

Citation

Bodily, Robert. Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-11-07. https://doi.org/10.3886/ICPSR36953.v1

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Subject Terms

Restrictions

This dataset is part of ICPSR's Archives of Scientific Psychology journal database. Users should contact the Editorial Office at the American Psychological Association for information on requesting data access.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Data Collection Notes

  1. This is simulated data from a known covariance matrix.

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Unit(s) of Observation

Individual

Data Type(s)

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Original Release Date

2017-11-07

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:

  • Bodily, Robert. Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data. ICPSR36953-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-11-07. http://doi.org/10.3886/ICPSR36953.v1

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Notes

  • This dataset is part of ICPSR's Archives of Scientific Psychology journal database. Users should contact the Editorial Office at the American Psychological Association for information on requesting data access.

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • ICPSR usually offers files in multiple formats for researchers to be able to access data and documentation in formats that work well within their needs. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR’s Accessibility Center.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.

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Archives of Scientific Psychology

This dataset is made available in connection to an article in Archives of Scientific Psychology, the first open-access, open-methods journal of the American Psychological Association (APA). Archiving and dissemination of this research is part of APA's commitment to collaborative data sharing.