143 related articles for article (PubMed ID: 33793270)
1. The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.
Foldnes N; Grønneberg S
Psychol Methods; 2022 Aug; 27(4):541-567. PubMed ID: 33793270
[TBL] [Abstract][Full Text] [Related]
2. On Identification and Non-normal Simulation in Ordinal Covariance and Item Response Models.
Foldnes N; Grønneberg S
Psychometrika; 2019 Dec; 84(4):1000-1017. PubMed ID: 31562591
[TBL] [Abstract][Full Text] [Related]
3. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
Rhemtulla M; Brosseau-Liard PÉ; Savalei V
Psychol Methods; 2012 Sep; 17(3):354-73. PubMed ID: 22799625
[TBL] [Abstract][Full Text] [Related]
4. Penalized Least Squares for Structural Equation Modeling with Ordinal Responses.
Huang PH
Multivariate Behav Res; 2022; 57(2-3):279-297. PubMed ID: 32990059
[TBL] [Abstract][Full Text] [Related]
5. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.
Li CH
Behav Res Methods; 2016 Sep; 48(3):936-49. PubMed ID: 26174714
[TBL] [Abstract][Full Text] [Related]
6. Robustness of Parameter Estimation to Assumptions of Normality in the Multidimensional Graded Response Model.
Wang C; Su S; Weiss DJ
Multivariate Behav Res; 2018; 53(3):403-418. PubMed ID: 29624093
[TBL] [Abstract][Full Text] [Related]
7. Distributionally weighted least squares in structural equation modeling.
Du H; Bentler PM
Psychol Methods; 2022 Aug; 27(4):519-540. PubMed ID: 34166048
[TBL] [Abstract][Full Text] [Related]
8. The Effect of Latent and Error Non-Normality on Measures of Fit in Structural Equation Modeling.
Jobst LJ; Auerswald M; Moshagen M
Educ Psychol Meas; 2022 Oct; 82(5):911-937. PubMed ID: 35989731
[TBL] [Abstract][Full Text] [Related]
9. A Problem with Discretizing Vale-Maurelli in Simulation Studies.
Grønneberg S; Foldnes N
Psychometrika; 2019 Jun; 84(2):554-561. PubMed ID: 30838499
[TBL] [Abstract][Full Text] [Related]
10. The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables.
Li CH
Psychol Methods; 2016 Sep; 21(3):369-87. PubMed ID: 27571021
[TBL] [Abstract][Full Text] [Related]
11. Best Practices for Binary and Ordinal Data Analyses.
Verhulst B; Neale MC
Behav Genet; 2021 May; 51(3):204-214. PubMed ID: 33400061
[TBL] [Abstract][Full Text] [Related]
12. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.
Flora DB; Curran PJ
Psychol Methods; 2004 Dec; 9(4):466-91. PubMed ID: 15598100
[TBL] [Abstract][Full Text] [Related]
13. Normality assumption in latent interaction models.
Lonati S; Rönkkö M; Antonakis J
Psychol Methods; 2024 Apr; ():. PubMed ID: 38573667
[TBL] [Abstract][Full Text] [Related]
14. Factor analyzing ordinal items requires substantive knowledge of response marginals.
Grønneberg S; Foldnes N
Psychol Methods; 2024 Feb; 29(1):65-87. PubMed ID: 35588076
[TBL] [Abstract][Full Text] [Related]
15. The effect of latent and error non-normality on corrections to the test statistic in structural equation modeling.
Jobst LJ; Auerswald M; Moshagen M
Behav Res Methods; 2022 Oct; 54(5):2351-2363. PubMed ID: 35014004
[TBL] [Abstract][Full Text] [Related]
16. Contributions to Estimation of Polychoric Correlations.
Monroe S
Multivariate Behav Res; 2018; 53(2):247-266. PubMed ID: 29377713
[TBL] [Abstract][Full Text] [Related]
17. Evaluating methods for handling missing ordinal data in structural equation modeling.
Jia F; Wu W
Behav Res Methods; 2019 Oct; 51(5):2337-2355. PubMed ID: 30684226
[TBL] [Abstract][Full Text] [Related]
18. Comparing estimation methods for psychometric networks with ordinal data.
Johal SK; Rhemtulla M
Psychol Methods; 2023 Dec; 28(6):1251-1272. PubMed ID: 34928677
[TBL] [Abstract][Full Text] [Related]
19. Multivariate normal maximum likelihood with both ordinal and continuous variables, and data missing at random.
Pritikin JN; Brick TR; Neale MC
Behav Res Methods; 2018 Apr; 50(2):490-500. PubMed ID: 29374390
[TBL] [Abstract][Full Text] [Related]
20. More efficient parameter estimates for factor analysis of ordinal variables by ridge generalized least squares.
Yuan KH; Jiang G; Cheng Y
Br J Math Stat Psychol; 2017 Nov; 70(3):525-564. PubMed ID: 28547838
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]