Lydia Marvin
Datos Biográficos
| ID | 7836083 |
|---|---|
| NOMBRE | Lydia Marvin |
| NOMBRES | Lydia |
| APELLIDO | Marvin |
| FIRMA | MARVIN L |
| AFILIACIONES | Illinois State University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
Understanding the Deviance Information Criterion for SEM
The deviance information criterion (DIC) is widely used to select the parsimonious, well-fitting model. We examined how priors impact model complexity (pD) and the DIC for Bayesian CFA. Study 1 compared the empirical distributions of pD and DIC under multivariate (i.e., inverse Wishart) and separation strategy (SS) priors. The former treats the covariance matrix Φξ as “a” parameter, and the latter places marginal priors on factor variances and co…
Parameter Specification in Bayesian CFA
The impact of parameter and prior specifications on Bayesian SEM estimates is examined through two simulation studies. The model of focus was a CFA. Simulation conditions for Study 1 included varying sample size, the strength of the factor loadings (also tied to issues of reliability), factor correlation strength, and estimation conditions tied to different parameter specifications. Study 2 extended these factors and included non-zero cross-loadi…
Sexual objectification in #MeToo and #WhyIDidntReport tweets
Sexual objectification affects women negatively in a many ways (e.g., increased focus on appearance and safety), especially if they are not provided the opportunity to cope effectively. Social media platforms provide an opportunity to share experiences and receive social support. We conducted sentiment and content analyses of #MeToo and #WhyIDidntReport (WIDR) tweets with a focus on descriptions of sexual objectification. Most #MeToo tweets were …
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Sexual objectification in #MeToo and #WhyIDidntReport tweets
Sexual objectification affects women negatively in a many ways (e.g., increased focus on appearance and safety), especially if they are not provided the opportunity to cope effectively. Social media platforms provide an opportunity to share experiences and receive social support. We conducted sentiment and content analyses of #MeToo and #WhyIDidntReport (WIDR) tweets with a focus on descriptions of sexual objectification. Most #MeToo tweets were …
Parameter Specification in Bayesian CFA
The impact of parameter and prior specifications on Bayesian SEM estimates is examined through two simulation studies. The model of focus was a CFA. Simulation conditions for Study 1 included varying sample size, the strength of the factor loadings (also tied to issues of reliability), factor correlation strength, and estimation conditions tied to different parameter specifications. Study 2 extended these factors and included non-zero cross-loadi…
Understanding the Deviance Information Criterion for SEM
The deviance information criterion (DIC) is widely used to select the parsimonious, well-fitting model. We examined how priors impact model complexity (pD) and the DIC for Bayesian CFA. Study 1 compared the empirical distributions of pD and DIC under multivariate (i.e., inverse Wishart) and separation strategy (SS) priors. The former treats the covariance matrix Φξ as “a” parameter, and the latter places marginal priors on factor variances and co…
Computer Science (3 obras) · Advanced Statistical Modeling Techniques (2 obras) · Bayesian probability (2 obras) · Covariance (2 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Multivariate statistics (2 obras) · Prior probability (2 obras) · Statistical Methods and Bayesian Inference (2 obras) · Statistics (2 obras)