The Resource Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
Resource Information
The item Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.This item is available to borrow from 1 library branch.
Resource Information
The item Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.
This item is available to borrow from 1 library branch.
 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 (MMWS) 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 MMWS methods across conditions. Linear regression, simple mean difference, or propensity stratification methods are recommended for simulating causal inference
 Note
 36953
 Label
 Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
 Title
 Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
 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 (MMWS) 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 MMWS methods across conditions. Linear regression, simple mean difference, or propensity stratification methods are recommended for simulating causal inference
 http://library.link/vocab/creatorName

 Bodily, Robert
 Interuniversity Consortium for Political and Social Research [distributor]
 Label
 Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
 Note
 36953
 Control code
 ICPSR36953.v1
 Governing access note
 Access restricted to subscribing institutions
 Label
 Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data
 Note
 36953
 Control code
 ICPSR36953.v1
 Governing access note
 Access restricted to subscribing institutions
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.bowdoin.edu/portal/SimulatedDataFromaKnownCovarianceMatrixof/pdGPBuRl9Ns/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bowdoin.edu/portal/SimulatedDataFromaKnownCovarianceMatrixof/pdGPBuRl9Ns/">Simulated Data From a Known Covariance Matrix of Advanced Placement Course Data</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bowdoin.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bowdoin.edu/">Bowdoin College Library</a></span></span></span></span></div>