| Estimating the reproducibility of psychological science Open Science Collaboration Science 349 (6251), aac4716, 2015 | 9391 | 2015 |
| An open, large-scale, collaborative effort to estimate the reproducibility of psychological science Open Science Collaboration Perspectives on psychological science 7 (6), 657-660, 2012 | 739 | 2012 |
| Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations A Heydarian, JP Carneiro, D Gerber, B Becerik-Gerber, T Hayes, W Wood Automation in Construction 54, 116-126, 2015 | 362 | 2015 |
| Social Influence on consumer decisions: Motives, modes, and consequences W Wood, T Hayes Journal of Consumer Psychology 22 (3), 324-328, 2012 | 182 | 2012 |
| Using Classification and Regression Trees (CART) and random forests to analyze attrition: Results from two simulations. T Hayes, S Usami, R Jacobucci, JJ McArdle Psychology and aging 30 (4), 911, 2015 | 161 | 2015 |
| Influence of LEED branding on building occupants' pro-environmental behavior S Khashe, A Heydarian, D Gerber, B Becerik-Gerber, T Hayes, W Wood Building and Environment 94, 477-488, 2015 | 78 | 2015 |
| SAVES: A sustainable multiagent application to conserve building energy considering occupants J Kwak, P Varakantham, R Maheswaran, M Tambe, F Jazizadeh, ... Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 75 | 2012 |
| Inferring longitudinal relationships between variables: Model selection between the latent change score and autoregressive cross-lagged factor models S Usami, T Hayes, JJ McArdle Structural Equation Modeling: A Multidisciplinary Journal 23 (3), 331-342, 2016 | 67 | 2016 |
| On the mathematical relationship between latent change score and autoregressive cross-lagged factor approaches: Cautions for inferring causal relationship between variables S Usami, T Hayes, JJ McArdle Multivariate Behavioral Research 50 (6), 676-687, 2015 | 50 | 2015 |
| Immersive virtual environments: experiments on impacting design and human building interaction A Heydarian, JP Carneiro, D Gerber, B Becerik-Gerber, T Hayes, W Wood Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of …, 2014 | 49 | 2014 |
| Thermally stimulated current and high temperature resistivity measurements of 4H semi-insulating silicon carbide KC Mandal, PG Muzykov, R Krishna, T Hayes, TS Sudarshan Solid state communications 151 (7), 532-535, 2011 | 43 | 2011 |
| Adolescent cannabis use and its associations with decision-making and episodic memory: Preliminary results from a longitudinal study. JC Duperrouzel, SW Hawes, C Lopez-Quintero, I Pacheco-Colón, S Coxe, ... Neuropsychology 33 (5), 701, 2019 | 36 | 2019 |
| R-squared change in structural equation models with latent variables and missing data T Hayes Behavior Research Methods 53 (5), 2127-2157, 2021 | 32 | 2021 |
| Factor score regression in the presence of correlated unique factors T Hayes, S Usami Educational and psychological measurement 80 (1), 5-40, 2020 | 32 | 2020 |
| A comparison of multilevel imputation schemes for random coefficient models: fully conditional specification and joint model imputation with random covariance matrices CK Enders, T Hayes, H Du Multivariate behavioral research 53 (5), 695-713, 2018 | 32 | 2018 |
| Factor score regression in connected measurement models containing cross-loadings T Hayes, S Usami Structural Equation Modeling: A Multidisciplinary Journal 27 (6), 942-951, 2020 | 21 | 2020 |
| Juror perceptions of intoxicated suspects’ interrogation-related behaviors A Mindthoff, JR Evans, G Perez, SA Woestehoff, AP Olaguez, JZ Klemfuss, ... Criminal Justice and Behavior 47 (2), 222-246, 2020 | 20 | 2020 |
| A resilience framework: Sexual health trajectories of youth with maltreatment histories NM Fava, LY Bay-Cheng, TH Nochajski, JC Bowker, T Hayes Journal of Trauma & Dissociation 19 (4), 444-460, 2018 | 18 | 2018 |
| Fitting structural equation model trees and latent growth curve mixture models in longitudinal designs: The influence of model misspecification S Usami, T Hayes, J McArdle Structural Equation Modeling: A Multidisciplinary Journal 24 (4), 585-598, 2017 | 18 | 2017 |
| Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables T Hayes, JJ McArdle Computational Statistics & Data Analysis 115, 35-52, 2017 | 17 | 2017 |
Satoshi UsamiUniversity of Tokyo在 p.u-tokyo.ac.jp 的电子邮件经过验证
