| The problem with having two watches: Assessment of fit when RMSEA and CFI disagree K Lai, SB Green Multivariate behavioral research 51 (2-3), 220-239, 2016 | 474 | 2016 |
| Accuracy in parameter estimation for the root mean square error of approximation: Sample size planning for narrow confidence intervals K Kelley, K Lai Multivariate Behavioral Research 46 (1), 1-32, 2011 | 180 | 2011 |
| Estimating standardized SEM parameters given nonnormal data and incorrect model: Methods and comparison K Lai Structural Equation Modeling: A Multidisciplinary Journal 25 (4), 600-620, 2018 | 152 | 2018 |
| Bayesian Inference and Application of Robust Growth Curve Models Using Student's t Distribution Z Zhang, K Lai, Z Lu, X Tong Structural Equation Modeling: A Multidisciplinary Journal 20 (1), 47-78, 2013 | 66 | 2013 |
| Accuracy in parameter estimation for targeted effects in structural equation modeling: Sample size planning for narrow confidence intervals. K Lai, K Kelley Psychological Methods 16 (2), 127, 2011 | 65 | 2011 |
| MBESS: MBESS K Kelley, K Lai R package version 3 (3), 2012 | 50 | 2012 |
| MBESS: MBESS. R package version 3.3. 2 K Kelley, K Lai | 43 | 2012 |
| Fit difference between nonnested models given categorical data: measures and estimation K Lai Structural Equation Modeling: A Multidisciplinary Journal 28 (1), 99-120, 2021 | 39 | 2021 |
| Accuracy in parameter estimation for ANCOVA and ANOVA contrasts: Sample size planning via narrow confidence intervals K Lai, K Kelley British Journal of Mathematical and Statistical Psychology 65 (2), 350-370, 2012 | 36 | 2012 |
| Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration S Depaoli, SD Winter, K Lai, K Guerra-Peña Multivariate behavioral research 54 (6), 795-821, 2019 | 21 | 2019 |
| Confidence interval for RMSEA or CFI difference between nonnested models K Lai Structural Equation Modeling: A Multidisciplinary Journal 27 (1), 16-32, 2020 | 18 | 2020 |
| More robust standard error and confidence interval for SEM parameters given incorrect model and nonnormal data K Lai Structural Equation Modeling: A Multidisciplinary Journal 26 (2), 260-279, 2019 | 18 | 2019 |
| Using R for data analysis: A best practice for research K Kelley, K Lai, PJ Wu Best practices in quantitative methods, 535-572, 2008 | 15 | 2008 |
| A simple analytic confidence interval for CFI given nonnormal data K Lai Structural Equation Modeling: A Multidisciplinary Journal 26 (5), 757-777, 2019 | 13 | 2019 |
| Graphical displays for understanding SEM model similarity K Lai, SB Green, R Levy Structural Equation Modeling: A Multidisciplinary Journal 24 (6), 803-818, 2017 | 13 | 2017 |
| Assessing model similarity in structural equation modeling K Lai, SB Green, R Levy, RE Reichenberg, Y Xu, MS Thompson, N Yel, ... Structural Equation Modeling: A Multidisciplinary Journal 23 (4), 491-506, 2016 | 11 | 2016 |
| Bayesian model averaging as an alternative to model selection for multilevel models S Depaoli, K Lai, Y Yang Multivariate Behavioral Research 56 (6), 920-940, 2021 | 10 | 2021 |
| Using information criteria under missing data: Full information maximum likelihood versus two-stage estimation K Lai Structural Equation Modeling: A Multidisciplinary Journal 28 (2), 278-291, 2021 | 10 | 2021 |
| Sample size planning for confirmatory factor models: Power and accuracy for effects of interest K Kelley, K Lai The Wiley handbook of psychometric testing: A multidisciplinary reference on …, 2018 | 9 | 2018 |
| Correct estimation methods for RMSEA under missing data K Lai Structural Equation Modeling: A Multidisciplinary Journal 28 (2), 207-218, 2021 | 7 | 2021 |
