| Year |
Citation |
Score |
| 2023 |
Oravecz Z, Vandekerckhove J. Quantifying Evidence for-and against-Granger Causality with Bayes Factors. Multivariate Behavioral Research. 1-11. PMID 37293977 DOI: 10.1080/00273171.2023.2214890 |
0.659 |
|
| 2023 |
Chen M, Chow SM, Oravecz Z, Ferrer E. Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach. Multivariate Behavioral Research. 1-25. PMID 36848197 DOI: 10.1080/00273171.2023.2171354 |
0.325 |
|
| 2022 |
Nowak U, Wood J, Dinu AN, Wittkamp MF, Clamor A, Oravecz Z, Lincoln TM. Are paranoid ideation and hallucination spectrum experiences differently associated with affect dynamics? A continuous-time modeling approach. Emotion (Washington, D.C.). PMID 36107656 DOI: 10.1037/emo0001150 |
0.335 |
|
| 2022 |
Li Y, Oravecz Z, Zhou S, Bodovski Y, Barnett IJ, Chi G, Zhou Y, Friedman NP, Vrieze SI, Chow SM. Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates. Psychometrika. PMID 35076813 DOI: 10.1007/s11336-021-09831-9 |
0.331 |
|
| 2021 |
Li Y, Wood J, Ji L, Chow SM, Oravecz Z. Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus. Structural Equation Modeling : a Multidisciplinary Journal. 29: 452-475. PMID 35601030 DOI: 10.1080/10705511.2021.1911657 |
0.442 |
|
| 2020 |
Ji L, Chen M, Oravecz Z, Cummings EM, Lu ZH, Chow SM. A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling : a Multidisciplinary Journal. 27: 442-467. PMID 32601517 DOI: 10.1080/10705511.2019.1623681 |
0.397 |
|
| 2020 |
Oravecz Z, Dirsmith J, Heshmati S, Vandekerckhove J, Brick TR. Psychological well-being and personality traits are associated with experiencing love in everyday life Personality and Individual Differences. 153: 109620. DOI: 10.1016/J.Paid.2019.109620 |
0.65 |
|
| 2020 |
Oravecz Z, Vandekerckhove J. A joint process model of consensus and longitudinal dynamics Journal of Mathematical Psychology. 98: 102386. DOI: 10.1016/J.Jmp.2020.102386 |
0.711 |
|
| 2019 |
Li Y, Ji L, Oravecz Z, Brick TR, Hunter MD, Chow SM. dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. World Academy of Science, Engineering and Technology. 13: 302-311. PMID 31431819 DOI: 10.5281/Zenodo.3298841 |
0.366 |
|
| 2019 |
Roberts NJ, Oravecz Z, Sprague BN, Geier CF. A Novel Hierarchical LATER Process Model: Evaluating Latent Sources of Variation in Reaction Times of Adult Daily Smokers. Frontiers in Psychiatry. 10: 474. PMID 31333517 DOI: 10.3389/Fpsyt.2019.00474 |
0.355 |
|
| 2018 |
Baribault B, Donkin C, Little DR, Trueblood JS, Oravecz Z, van Ravenzwaaij D, White CN, De Boeck P, Vandekerckhove J. Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences of the United States of America. 115: 2607-2612. PMID 29531092 DOI: 10.1073/Pnas.1708285114 |
0.618 |
|
| 2018 |
Anders R, Oravecz Z, Alario FX. Improved information pooling for hierarchical cognitive models through multiple and covaried regression. Behavior Research Methods. 50: 989-1010. PMID 28699122 DOI: 10.3758/S13428-017-0921-7 |
0.415 |
|
| 2018 |
Oravecz Z, Muth C. Fitting growth curve models in the Bayesian framework. Psychonomic Bulletin & Review. 25: 235-255. PMID 28493149 DOI: 10.3758/s13423-017-1281-0 |
0.383 |
|
| 2017 |
Wood J, Oravecz Z, Vogel N, Benson L, Chow SM, Cole P, Conroy DE, Pincus AL, Ram N. Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences. PMID 28329860 DOI: 10.1093/Geronb/Gbx013 |
0.329 |
|
| 2017 |
Heshmati S, Oravecz Z, Pressman S, Batchelder WH, Muth C, Vandekerckhove J. What does it mean to feel loved: Cultural consensus and individual differences in felt love Journal of Social and Personal Relationships. 36: 214-243. DOI: 10.1177/0265407517724600 |
0.626 |
|
| 2016 |
Oravecz Z, Muth C, Vandekerckhove J. Do People Agree on What Makes One Feel Loved? A Cognitive Psychometric Approach to the Consensus on Felt Love. Plos One. 11: e0152803. PMID 27035569 DOI: 10.1371/Journal.Pone.0152803 |
0.652 |
|
| 2016 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model. Multivariate Behavioral Research. 51: 106-19. PMID 26881960 DOI: 10.1080/00273171.2015.1110512 |
0.733 |
|
| 2015 |
Oravecz Z, Faust K, Batchelder WH, Levitis DA. Studying the Existence and Attributes of Consensus on Psychological Concepts by a Cognitive Psychometric Model. The American Journal of Psychology. 128: 61-75. PMID 26219174 DOI: 10.5406/Amerjpsyc.128.1.0061 |
0.328 |
|
| 2015 |
Ebner-Priemer UW, Houben M, Santangelo P, Kleindienst N, Tuerlinckx F, Oravecz Z, Verleysen G, Van Deun K, Bohus M, Kuppens P. Unraveling affective dysregulation in borderline personality disorder: a theoretical model and empirical evidence. Journal of Abnormal Psychology. 124: 186-98. PMID 25603359 DOI: 10.1037/Abn0000021 |
0.636 |
|
| 2015 |
Oravecz Z, Anders R, Batchelder WH. Hierarchical Bayesian Modeling for Test Theory Without an Answer Key. Psychometrika. 80: 341-64. PMID 24327065 DOI: 10.1007/S11336-013-9379-4 |
0.452 |
|
| 2014 |
Oravecz Z, Vandekerckhove J, Batchelder WH. Bayesian Cultural Consensus Theory Field Methods. 26: 207-222. DOI: 10.1177/1525822X13520280 |
0.665 |
|
| 2014 |
Oravecz Z, Faust K, Batchelder WH. An extended cultural consensus theory model to account for cognitive processes in decision making in social surveys Sociological Methodology. 44: 185-228. DOI: 10.1177/0081175014529767 |
0.415 |
|
| 2014 |
Anders R, Oravecz Z, Batchelder WH. Cultural consensus theory for continuous responses: A latent appraisal model for information pooling Journal of Mathematical Psychology. 61: 1-13. DOI: 10.1016/J.Jmp.2014.06.001 |
0.392 |
|
| 2011 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods. 16: 468-90. PMID 21823796 DOI: 10.1037/A0024375 |
0.735 |
|
| 2011 |
Oravecz Z, Tuerlinckx F. The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: some equivalences and differences. The British Journal of Mathematical and Statistical Psychology. 64: 134-60. PMID 21506948 DOI: 10.1348/000711010X498621 |
0.653 |
|
| 2010 |
Kuppens P, Oravecz Z, Tuerlinckx F. Feelings change: accounting for individual differences in the temporal dynamics of affect. Journal of Personality and Social Psychology. 99: 1042-60. PMID 20853980 DOI: 10.1037/A0020962 |
0.659 |
|
| 2009 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data Psychometrika. 74: 395-418. DOI: 10.1007/S11336-008-9106-8 |
0.726 |
|
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