Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective KJ Preacher, G Zhang, C Kim, G Mels Multivariate behavioral research 48 (1), 28-56, 2013 | 432 | 2013 |
What leads to romantic attraction: Similarity, reciprocity, security, or beauty? Evidence from a speed‐dating study S Luo, G Zhang Journal of personality 77 (4), 933-964, 2009 | 300 | 2009 |
Predicting marital satisfaction from self, partner, and couple characteristics: Is it me, you, or us? S Luo, H Chen, G Yue, G Zhang, R Zhaoyang, D Xu Journal of personality 76 (5), 1231-1266, 2008 | 212 | 2008 |
Ordinary least squares estimation of parameters in exploratory factor analysis with ordinal data CT Lee, G Zhang, MC Edwards Multivariate Behavioral Research 47 (2), 314-339, 2012 | 102 | 2012 |
Dynamic factor analysis models with time-varying parameters SM Chow, J Zu, K Shifren, G Zhang Multivariate Behavioral Research 46 (2), 303-339, 2011 | 81 | 2011 |
Multiple local solutions and geomin rotation M Hattori, G Zhang, KJ Preacher Multivariate behavioral research 52 (6), 720-731, 2017 | 77 | 2017 |
Developments in the factor analysis of individual time series MW Browne, G Zhang Factor Analysis at 100, 279-306, 2007 | 63 | 2007 |
Nonlinear regime-switching state-space (RSSS) models SM Chow, G Zhang Psychometrika 78, 740-768, 2013 | 55 | 2013 |
Bootstrap confidence intervals for ordinary least squares factor loadings and correlations in exploratory factor analysis G Zhang, KJ Preacher, S Luo Multivariate Behavioral Research 45 (1), 104-134, 2010 | 34 | 2010 |
Factor rotation and standard errors in exploratory factor analysis G Zhang, KJ Preacher Journal of Educational and Behavioral Statistics 40 (6), 579-603, 2015 | 31 | 2015 |
Estimating standard errors in exploratory factor analysis G Zhang Multivariate behavioral research 49 (4), 339-353, 2014 | 27 | 2014 |
Bootstrap standard error estimates in dynamic factor analysis G Zhang, MW Browne Multivariate Behavioral Research 45 (3), 453-482, 2010 | 27 | 2010 |
Time series models for examining psychological processes: Applications and new developments E Ferrer, G Zhang Handbook of quantitative methods in psychology, 637-657, 2009 | 24 | 2009 |
Using cross-sectional couple data to disentangle the causality between positive partner perceptions and marital satisfaction S Luo, G Zhang, D Watson, AG Snider Journal of Research in Personality 44 (5), 665-668, 2010 | 23 | 2010 |
Bootstrap fit testing, confidence intervals, and standard error estimation in the factor analysis of polychoric correlation matrices G Zhang, MW Browne Behaviormetrika 33, 61-74, 2006 | 23 | 2006 |
EFAutilities: Utility functions for exploratory factor analysis G Zhang, G Jiang, M Hattori, L Trichtinger R package version 2 (0), 2019 | 21 | 2019 |
Sex role inventory for college students (CSRI) M Qian, G Zhang, S Luo, S Zhang Acta Psychologica Sinica 32 (01), 99, 2000 | 20 | 2000 |
Target rotation with both factor loadings and factor correlations. G Zhang, M Hattori, LA Trichtinger, X Wang Psychological methods 24 (3), 390, 2019 | 19 | 2019 |
Dynamic factor analysis with ordinal manifest variables G Zhang, MW Browne Statistical Methods for Modeling Human Dynamics, 241-263, 2011 | 17 | 2011 |
DyFA: Dynamic factor analysis of lagged correlation matrices, Version 2.03 [Computer software and manual] MW Browne, G Zhang Retrieved December 1, 2004, 2005 | 14 | 2005 |