Investigating the performance of Exploratory Graph Analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. H Golino, D Shi, LE Garrido, AP Christensen, MD Nieto, R Sadana, ... Psychological Methods, 2020 | 303 | 2020 |
Longitudinal model building using latent transition analysis: An example using school bullying data JH Ryoo, C Wang, SM Swearer, M Hull, D Shi Frontiers in psychology 9, 675, 2018 | 95 | 2018 |
Entropy Fit Indices: New Fit Measures for Assessing the Structure and Dimensionality of Multiple Latent Variables. H Golino, R Moulder, D Shi, AP Christensen, L Garrido, MD Nieto, ... Multivariate Behavioral Research 56 (6), 874-902, 2021 | 69 | 2021 |
Attendance and chronic absenteeism in Indiana: The impact on student achievement T Spradlin, K Cierniak, D Shi, M Chen Center for Evaluation & Education Policy, 2012 | 56 | 2012 |
The impact of prior information on Bayesian latent basis growth model estimation D Shi, X Tong SAGE Open 7 (3), 2158244017727039, 2017 | 20 | 2017 |
Revamping the Teacher Evaluation Process. Education Policy Brief. Volume 9, Number 4, Fall 2011. RS Whiteman, D Shi, JA Plucker Center for Evaluation and Education Policy, Indiana University, 2011 | 15* | 2011 |
Examining the prevalence, scale, and impact of chronic absence in Indiana: Student-level analysis T Spradlin, D Stephanie, M Chen, D Shi, M Chen, J Han, K Ciernak Bloomington, IN: Center for Evaluation & Education Policy, 2012 | 8 | 2012 |
Longitudinal association between subjective and objective memory in older adults: a study with the Virginia Cognitive Aging Project sample M Teles, S Dingjing Aging, Neuropsychology, and Cognition, 2021 | 6 | 2021 |
Mitigating selection bias: a Bayesian approach to two-stage causal modeling with instrumental variables for nonnormal missing data D Shi, X Tong Sociological Methods & Research 51 (3), 1052-1099, 2022 | 5 | 2022 |
Depressive symptoms as a predictor of memory decline in older adults: A longitudinal study using the dual change score model M Teles, D Shi Archives of Gerontology and Geriatrics 97, 104, 2021 | 5 | 2021 |
A Bayesian approach to the analysis of local average treatment effect for missing and non-normal data in causal modeling: A tutorial with the ALMOND Package in R D Shi, X Tong, MJ Meyer Frontiers in Psychology 11, 481204, 2020 | 5 | 2020 |
Attendance and chronic absenteeism in Indiana: Descriptive data analysis T Spradlin, D Shi, K Cierniak, M Chen, J Han Bloomington, IN: Center for Evaluation & Education Policy, 2012 | 5 | 2012 |
Bayesian Robust Two-stage Causal Modeling with Nonnormal Missing Data. D Shi, X Tong Multivariate Behavioral Research 53 (1), 127, 2018 | 4 | 2018 |
Robust Bayesian estimation in causal two-stage least squares modeling with instrumental variables D Shi, X Tong Quantitative Psychology Research: Springer Series in Mathematics and …, 2017 | 4 | 2017 |
Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables using Student's t Distributions D Shi, X Tong Bayesian Inference 221, 2017 | 3 | 2017 |
Variable Selection for Mediators under a Bayesian Mediation Model D Shi, D Shi, AJ Fairchild Structural Equation Modeling: A Multidisciplinary Journal, 1-14, 2023 | 2 | 2023 |
Attendance and Chronic Absenteeism in Indiana: The Impact on Student Achievement. Education Policy Brief, Volume 10, Number 3, Summer 2012. T Spradlin, K Cierniak, D Shi, M Chen Center for Evaluation and Education Policy, Indiana University, 2012 | 1 | 2012 |
Investigating variable selection techniques under missing data: A simulation study C Bain, D Shi OSF, 2024 | | 2024 |
A Tutorial on Supervised Machine Learning Variable Selection Methods for the Psychological Sciences in R C Bain, D Shi, J Loeffelman, JE Norris, L Ethridge | | 2024 |
A longitudinal network model to assess affect structures in ecological momentary assessment: Likert and slider response formats may not be equivalent D Shi, E Hébert, M Businelle PsyArXiv, 2023 | | 2023 |