Year |
Citation |
Score |
2024 |
Xu Z, Gao F, Fa A, Qu W, Zhang Z. Statistical power analysis and sample size planning for moderated mediation models. Behavior Research Methods. PMID 38308148 DOI: 10.3758/s13428-024-02342-2 |
0.334 |
|
2023 |
Wilcox KT, Jacobucci R, Zhang Z, Ammerman BA. Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates. Psychological Methods. PMID 36603124 DOI: 10.1037/met0000541 |
0.344 |
|
2022 |
Liu X, Zhang Z, Wang L. Bayesian hypothesis testing of mediation: Methods and the impact of prior odds specifications. Behavior Research Methods. PMID 35581435 DOI: 10.3758/s13428-022-01860-1 |
0.372 |
|
2021 |
Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, Abeliovich H, Abildgaard MH, Abudu YP, Acevedo-Arozena A, Adamopoulos IE, Adeli K, Adolph TE, Adornetto A, Aflaki E, ... Zhang Z, ... Zhang Z, ... Zhang Z, ... Zhang Z, ... Zhang Z, ... Zhang Z, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy. 1-382. PMID 33634751 DOI: 10.1080/15548627.2020.1797280 |
0.366 |
|
2020 |
Liu H, Jin IH, Zhang Z, Yuan Y. Social Network Mediation Analysis: A Latent Space Approach. Psychometrika. PMID 33346886 DOI: 10.1007/s11336-020-09736-z |
0.344 |
|
2020 |
Tong X, Zhang Z. Robust Bayesian Approaches in Growth Curve Modeling: Using Student’s t Distributions versus a Semiparametric Method Structural Equation Modeling. 27: 544-560. DOI: 10.1080/10705511.2019.1683014 |
0.388 |
|
2019 |
Wilcox KT, Jacobucci R, Zhang Z. Bayesian Supervised Topic Modeling with Covariates. Multivariate Behavioral Research. 1. PMID 31790609 DOI: 10.1080/00273171.2019.1695568 |
0.411 |
|
2019 |
Qu W, Liu H, Zhang Z. A method of generating multivariate non-normal random numbers with desired multivariate skewness and kurtosis. Behavior Research Methods. PMID 31452009 DOI: 10.3758/S13428-019-01291-5 |
0.498 |
|
2019 |
Du H, Edwards MC, Zhang Z. Bayes factor in one-sample tests of means with a sensitivity analysis: A discussion of separate prior distributions. Behavior Research Methods. PMID 31161425 DOI: 10.3758/S13428-019-01262-W |
0.332 |
|
2019 |
Cain MK, Zhang Z. Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling Structural Equation Modeling. 26: 39-50. DOI: 10.1080/10705511.2018.1490648 |
0.734 |
|
2018 |
Cain MK, Zhang Z, Bergeman CS. Time and Other Considerations in Mediation Design. Educational and Psychological Measurement. 78: 952-972. PMID 30559510 DOI: 10.1177/0013164417743003 |
0.734 |
|
2018 |
Liu H, Jin IH, Zhang Z. Structural Equation Modeling of Social Networks: Specification, Estimation, and Application. Multivariate Behavioral Research. 1-17. PMID 30477339 DOI: 10.1080/00273171.2018.1479629 |
0.538 |
|
2018 |
Yuan KH, Zhang Z, Deng L. Fit indices for mean structures with growth curve models. Psychological Methods. PMID 30372100 DOI: 10.1037/Met0000186 |
0.416 |
|
2018 |
Zhang Z. A Review of Bayesian Psychometric Modeling Journal of Educational and Behavioral Statistics. 43: 502-505. DOI: 10.3102/1076998618778011 |
0.329 |
|
2018 |
Serang S, Grimm KJ, Zhang Z. On the Correspondence between the Latent Growth Curve and Latent Change Score Models Structural Equation Modeling: a Multidisciplinary Journal. 26: 623-635. DOI: 10.1080/10705511.2018.1533835 |
0.632 |
|
2018 |
Mai Y, Zhang Z, Wen Z. Comparing Exploratory Structural Equation Modeling and Existing Approaches for Multiple Regression with Latent Variables Structural Equation Modeling. 25: 737-749. DOI: 10.1080/10705511.2018.1444993 |
0.378 |
|
2018 |
Mai Y, Zhang Z. Software Packages for Bayesian Multilevel Modeling Structural Equation Modeling. 25: 650-658. DOI: 10.1080/10705511.2018.1431545 |
0.396 |
|
2017 |
Tong X, Zhang Z. Outlying Observation Diagnostics in Growth Curve Modeling. Multivariate Behavioral Research. 52: 768-788. PMID 29161189 DOI: 10.1080/00273171.2017.1374824 |
0.589 |
|
2017 |
Yuan K, Zhang Z, Zhao Y. Reliable and More Powerful Methods for Power Analysis in Structural Equation Modeling Structural Equation Modeling. 24: 315-330. DOI: 10.1080/10705511.2016.1276836 |
0.345 |
|
2017 |
Liu H, Zhang Z. Logistic regression with misclassification in binary outcome variables: a method and software Behaviormetrika. 44: 447-476. DOI: 10.1007/S41237-017-0031-Y |
0.43 |
|
2016 |
Cain MK, Zhang Z, Yuan KH. Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior Research Methods. PMID 27752968 DOI: 10.3758/S13428-016-0814-1 |
0.732 |
|
2016 |
Song H, Zhang Z. Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models. Multivariate Behavioral Research. 49: 67-77. PMID 26745674 DOI: 10.1080/00273171.2013.851018 |
0.378 |
|
2016 |
Liu H, Zhang Z, Grimm KJ. Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis Structural Equation Modeling. 23: 354-367. DOI: 10.1080/10705511.2015.1057285 |
0.641 |
|
2015 |
Zhang Z. Modeling error distributions of growth curve models through Bayesian methods. Behavior Research Methods. PMID 26019004 DOI: 10.3758/S13428-015-0589-9 |
0.403 |
|
2015 |
Serang S, Zhang Z, Helm J, Steele JS, Grimm KJ. Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models Structural Equation Modeling. 22: 202-215. DOI: 10.1080/10705511.2014.937322 |
0.633 |
|
2015 |
Yuan K, Tong X, Zhang Z. Bias and Efficiency for SEM With Missing Data and Auxiliary Variables: Two-Stage Robust Method Versus Two-Stage ML Structural Equation Modeling. 22: 178-192. DOI: 10.1080/10705511.2014.935750 |
0.368 |
|
2015 |
Zhang Z, Hamagami F, Grimm KJ, McArdle JJ. Using R Package RAMpath for Tracing SEM Path Diagrams and Conducting Complex Longitudinal Data Analysis Structural Equation Modeling. 22: 132-147. DOI: 10.1080/10705511.2014.935257 |
0.648 |
|
2014 |
Tong X, Zhang Z. Abstract: Semiparametric Bayesian Modeling With Application in Growth Curve Analysis. Multivariate Behavioral Research. 49: 299. PMID 26735205 DOI: 10.1080/00273171.2014.912928 |
0.551 |
|
2014 |
Zhang Z. Monte Carlo based statistical power analysis for mediation models: methods and software Behavior Research Methods. 46: 1184-1198. PMID 24338601 DOI: 10.3758/S13428-013-0424-0 |
0.399 |
|
2014 |
Tong X, Zhang Z, Yuan K. Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data Structural Equation Modeling. 21: 553-565. DOI: 10.1080/10705511.2014.919820 |
0.436 |
|
2014 |
Lu Z(, Zhang Z. Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application Computational Statistics & Data Analysis. 71: 220-240. DOI: 10.1016/J.Csda.2013.07.036 |
0.464 |
|
2013 |
Grimm K, Zhang Z, Hamagami F, Mazzocco M. Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories. Multivariate Behavioral Research. 48: 117-43. PMID 26789211 DOI: 10.1080/00273171.2012.755111 |
0.618 |
|
2013 |
Zhang Z, Wang L. Methods for Mediation Analysis with Missing Data Psychometrika. 78: 154-184. PMID 25107523 DOI: 10.1007/S11336-012-9301-5 |
0.533 |
|
2013 |
Grimm KJ, Kuhl AP, Zhang Z. Measurement Models, Estimation, and the Study of Change Structural Equation Modeling. 20: 504-517. DOI: 10.1080/10705511.2013.797837 |
0.582 |
|
2013 |
Zhang Z, Lai K, Lu Z, Tong X. Bayesian Inference and Application of Robust Growth Curve Models Using Student'stDistribution Structural Equation Modeling: a Multidisciplinary Journal. 20: 47-78. DOI: 10.1080/10705511.2013.742382 |
0.426 |
|
2013 |
Zhang Z. Bayesian growth curve models with the generalized error distribution Journal of Applied Statistics. 40: 1779-1795. DOI: 10.1080/02664763.2013.796348 |
0.41 |
|
2012 |
Tong X, Zhang Z. Diagnostics of Robust Growth Curve Modeling Using Student's t Distribution. Multivariate Behavioral Research. 47: 493-518. PMID 26777667 DOI: 10.1080/00273171.2012.692614 |
0.555 |
|
2012 |
Zhang Z, Wang L. A note on the robustness of a full Bayesian method for nonignorable missing data analysis Brazilian Journal of Probability and Statistics. 26: 244-264. DOI: 10.1214/10-Bjps132 |
0.508 |
|
2012 |
Yuan K, Zhang Z. Structural Equation Modeling Diagnostics Using R Package semdiag and EQS Structural Equation Modeling. 19: 683-702. DOI: 10.1080/10705511.2012.713282 |
0.411 |
|
2012 |
Zhang Z, McArdle JJ, Nesselroade JR. Growth rate models: Emphasizing growth rate analysis through growth curve modeling Journal of Applied Statistics. 39: 1241-1262. DOI: 10.1080/02664763.2011.644528 |
0.623 |
|
2012 |
Yuan K, Zhang Z. Robust Structural Equation Modeling with Missing Data and Auxiliary Variables Psychometrika. 77: 803-826. DOI: 10.1007/S11336-012-9282-4 |
0.423 |
|
2011 |
Tong X, Zhang Z, Yuan KH. Abstract: Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data. Multivariate Behavioral Research. 46: 1016. PMID 26736130 DOI: 10.1080/00273171.2011.636715 |
0.578 |
|
2011 |
Lu ZL, Zhang Z, Lubke G. Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data. Multivariate Behavioral Research. 46: 567-597. PMID 24790248 DOI: 10.1080/00273171.2011.589261 |
0.468 |
|
2011 |
Zhang Z, Browne MW, Nesselroade JR. Higher-Order Factor Invariance and Idiographic Mapping of Constructs to Observables Applied Developmental Science. 15: 186-200. DOI: 10.1080/10888691.2011.618099 |
0.584 |
|
2011 |
Wang L, Zhang Z. Estimating and Testing Mediation Effects with Censored Data Structural Equation Modeling: a Multidisciplinary Journal. 18: 18-34. DOI: 10.1080/10705511.2011.534324 |
0.484 |
|
2010 |
Lu ZL, Zhang ZJ, Lubke G. Abstract: Bayesian Inference for Growth Mixture Models With Nonignorable Missing Data. Multivariate Behavioral Research. 45: 1028-9. PMID 26760734 DOI: 10.1080/00273171.2010.534381 |
0.301 |
|
2009 |
Wang L, Zhang Z, McArdle JJ, Salthouse TA. Investigating Ceiling Effects in Longitudinal Data Analysis. Multivariate Behavioral Research. 43: 476-496. PMID 19924269 DOI: 10.1080/00273170802285941 |
0.56 |
|
2009 |
Zhang Z, Wang L. Statistical power analysis for growth curve models using SAS Behavior Research Methods. 41: 1083-1094. PMID 19897816 DOI: 10.3758/Brm.41.4.1083 |
0.478 |
|
2009 |
Hamaker EL, Zhang Z, van der Maas HLJ. Using Threshold Autoregressive Models to Study Dyadic Interactions Psychometrika. 74: 727-745. DOI: 10.1007/S11336-009-9113-4 |
0.416 |
|
2008 |
Zhang Z, McArdle JJ, Wang L, Hamagami F. A SAS interface for bayesian analysis with WinBUGS Structural Equation Modeling. 15: 705-728. DOI: 10.1080/10705510802339106 |
0.504 |
|
2008 |
Zhang Z, Hamaker EL, Nesselroade JR. Comparisons of four methods for estimating a dynamic factor model Structural Equation Modeling. 15: 377-402. DOI: 10.1080/10705510802154281 |
0.642 |
|
2007 |
Zhang Z, Davis HP, Salthouse TA, Tucker-Drob EM. Correlates of individual, and age-related, differences in short-term learning. Learning and Individual Differences. 17. PMID 24347995 DOI: 10.1016/J.Lindif.2007.01.004 |
0.512 |
|
2007 |
Zhang Z, Hamagami F, Wang L, Nesselroade JR, Grimm KJ. Bayesian analysis of longitudinal data using growth curve models International Journal of Behavioral Development. 31: 374-383. DOI: 10.1177/0165025407077764 |
0.729 |
|
2007 |
Zhang Z, Nesselroade JR. Bayesian Estimation of Categorical Dynamic Factor Models Multivariate Behavioral Research. 42: 729-756. DOI: 10.1080/00273170701715998 |
0.396 |
|
2003 |
Wang J, Zhang Z, Liu H, Shi Y. Quasiequilibrium unfolding thermodynamics of a small protein studied by molecular dynamics simulation with an explicit water model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 061903. PMID 16241257 DOI: 10.1103/Physreve.67.061903 |
0.302 |
|
2003 |
Zhang Z, Shi Y, Liu H. Molecular dynamics simulations of peptides and proteins with amplified collective motions Biophysical Journal. 84: 3583-3593. PMID 12770868 DOI: 10.1016/S0006-3495(03)75090-5 |
0.339 |
|
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