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.

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

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


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.

Access 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.


No downloadable data files available.

Study Description


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.

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Scope of Study

Subject Terms:    courses, data, scientific research, simulation models

Unit of Observation:    Individual

Data Type(s):    experimental data

Data Collection Notes:

This is simulated data from a known covariance matrix.



Original ICPSR Release:   2017-11-07


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