Sandra Nay
Biographic Data
| ID | 10746348 |
|---|---|
| NAME | Sandra Nay |
| GIVEN NAMES | Sandra |
| FAMILY NAME | Nay |
| SIGNATURE | NAY S |
| AFFILIATIONS | Duke University |
| ORCID | 0000-0002-4986-1181 |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2010 |
| H-INDEX | 0 |
Three Approaches to Using Lengthy Ordinal Scales in Structural Equation Models
Lengthy scales or testlets pose certain challenges for structural equation modeling (SEM) if all the items are included as indicators of a latent construct. Three general approaches to modeling lengthy scales in SEM (parceling, latent scoring, and shortening) have been reviewed and evaluated. A hypothetical population model is simulated containing two exogenous constructs with 14 indicators each and an endogenous construct with four indicators. T…
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Three Approaches to Using Lengthy Ordinal Scales in Structural Equation Models
Lengthy scales or testlets pose certain challenges for structural equation modeling (SEM) if all the items are included as indicators of a latent construct. Three general approaches to modeling lengthy scales in SEM (parceling, latent scoring, and shortening) have been reviewed and evaluated. A hypothetical population model is simulated containing two exogenous constructs with 14 indicators each and an endogenous construct with four indicators. T…
Behavioral Health and Interventions (1 work) · Computer Science (1 work) · Construct (python library) (1 work) · Covariance (1 work) · Demography (1 work) · Econometrics (1 work) · Factor analysis (1 work) · Latent class model (1 work) · Latent variable (1 work) · Latent variable model (1 work)