Explaining Constraint Interaction: How to Interpret Estimated Model Parameters Under Alternative Scaling Methods
| Autor: | Eric Klopp, Stefan Klößner |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Sociology and Political Science 05 social sciences 050301 education General Decision Sciences Model parameters 01 natural sciences Methodology (stat.ME) Constraint (information theory) 010104 statistics & probability Scaling methods Modeling and Simulation Statistical physics 0101 mathematics 0503 education General Economics Econometrics and Finance Scaling Statistics - Methodology Mathematics |
| Zdroj: | Structural Equation Modeling: A Multidisciplinary Journal. 26:143-155 |
| ISSN: | 1532-8007 1070-5511 |
| DOI: | 10.1080/10705511.2018.1517356 |
| Popis: | In this paper, we explain the reasons behind constraint interaction, which is the phenomenon that the results of testing equality constraints may depend heavily on the scaling method used. We find that the scaling methods interfere with the testing procedures because scaling methods determine which transformations of population quantities model parameters actually estimate. We therefore also develop rules on how to correctly interpret estimates of model parameters under alternative scaling methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|