Equal Precision Measurement Structural Models
Bibliographic Data
| ID | 21641978 |
|---|---|
| Authors | Phillip K Wood (0000-0002-5802-3948, University of Missouri, corresponding author), Wolfgang Wiedermann (0000-0002-6468-905X, University of Missouri), Douglas Steinley (0000-0001-9900-5028, University of Missouri) |
| Year | 2023 |
| Volume | 30 |
| Issue | 1 |
| Pages | 32-39 |
| Publication date | 2023-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2022.2082971 |
| OpenAlex | W4295155909 |
| Language | CA |
| Citations received | 1 |
| References cited | 22 |
Error variance in structural models is often specified as a conditional variance associated with a manifest variable or as a regression path from a standardized error variance. This paper describes scenarios in which specification of both terms is useful: (1) Corrections for attenuation in single indicator factor models; (2) Tests of the equality in the proportion of explained variance across multiple dependent variables in regression models; (3) Factor models with two indicators; and (4) Tests of invariance in the proportion of measurement error variance across occasions in growth curve models. Examples of such models using both simulated and real-world data are presented
Analysis of variance · Econometrics · Economics · Errors-in-Variables Models · Explained variation · Observational error · One-way analysis of variance · Path coefficient · Regression · Regression analysis · Statistics · Intergenerational and Educational Inequality Studies · Mathematics · School Choice and Performance · Spatial and Panel Data Analysis
Latent Curve Analysis
The Proof and Measurement of Association between Two Things
A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and Macs Models
Path Coefficients and Path Regressions
Measurement error in psychological research
Latent Growth Curves within Developmental Structural Equation Models
On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha
Sensitivity Analysis in Structural Equation Models
Foundations of Factor Analysis
Sociological Methodology1
The Performance of RMSEA in Models With Small Degrees of Freedom
Peer Influences on Aspirations
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |