Data repository for the School of Education at Baylor University
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4,891 to 4,900 of 4,907 Results
results_spec_WL1_CL2_WLSMV_condition72_rep154.dat
Nov 21, 2019 - ML-CFA Monte Carlo Simulation Back Up Files
Fixed Field Text Data - 8.3 KB - MD5: a8dcf2e4e2b553d8d60910a84d288610
results_spec_WL1_CL2_WLSMV_condition72_rep15.dat
Nov 21, 2019 - ML-CFA Monte Carlo Simulation Back Up Files
Fixed Field Text Data - 8.3 KB - MD5: ffa991518c18b675a57c210e969f8c04
results_spec_WL1_CL2_WLSMV_condition72_rep1.dat
Nov 21, 2019 - ML-CFA Monte Carlo Simulation Back Up Files
Fixed Field Text Data - 8.3 KB - MD5: 24b89c7d795cc790f60f6ff48aa7e423
Monte Carlo Simulation Results Categorical Latent Class Analysis
Mar 25, 2019 - Mixture Modeling with Categorical Responses
Padgett, R. Noah; Tipton, Rebecca J., 2019, "Monte Carlo Simulation Results Categorical Latent Class Analysis", https://doi.org/10.18738/T8/CHW28Z, Texas Data Repository, V2
This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.
createmodels_datagen - Copy.txt
Mar 25, 2019 - Monte Carlo Simulation Results Categorical Latent Class Analysis
Plain Text - 6.8 KB - MD5: 6d2454837de5d815702019b352723eeb
createmodels_lca.txt
Mar 25, 2019 - Monte Carlo Simulation Results Categorical Latent Class Analysis
Plain Text - 452 B - MD5: ef2208bb426177194d59543bde39de13
createmodels_lpa.txt
Mar 25, 2019 - Monte Carlo Simulation Results Categorical Latent Class Analysis
Plain Text - 430 B - MD5: 87cd28f976312ad4b1338e06050d3cce
createmodels.R
Mar 25, 2019 - Monte Carlo Simulation Results Categorical Latent Class Analysis
R Syntax - 6.6 KB - MD5: 6777e89e61814a83058c197be8a48d1b
data_analyses.R
Mar 25, 2019 - Monte Carlo Simulation Results Categorical Latent Class Analysis
R Syntax - 7.5 KB - MD5: 52b33746def9686ac1b736447380499e
Code for generating tables and figure
Rasch Fit Statistics Simulation Results
Feb 19, 2019 - Rasch Residual-Based Fit Statistics
Padgett, R. Noah; Morgan, Grant B., 2019, "Rasch Fit Statistics Simulation Results", https://doi.org/10.18738/T8/AWC5FD, Texas Data Repository, V2
The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics.
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