Irini Moustaki
Biographic Data
| ID | 7691766 |
|---|---|
| NAME | Irini Moustaki |
| GIVEN NAMES | Irini |
| FAMILY NAME | Moustaki |
| SIGNATURE | MOUSTAKI I |
| AFFILIATIONS | London School of Economics and Political Science |
| ORCID | 0000-0001-8371-1251 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification
This article studies the Type I error, false positive rates, and power of four versions of the Lagrange multiplier test to detect measurement noninvariance in item response theory (IRT) models for binary data under model misspecification. The tests considered are the Lagrange multiplier test computed with the Hessian and cross-product approach, the generalized Lagrange multiplier test and the generalized jackknife score test. The two model misspe…
Psychometric and factor analytic evaluation of the 15D health-related quality of life instrument
Latent Variable Models and Factor Analysis
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a u…
Analysis of Multivariate Social Science Data
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con
Detecting Outliers in Factor Analysis Using the Forward Search Algorithm
In this article we extend and implement the forward search algorithm for identifying atypical subjects/observations in factor analysis models. The forward search has been mainly developed for detecting aberrant observations in regression models (Atkinson, 1994 Atkinson, A. C. 1994. Fast very robust methods for the detection of multiple outliers. Journal of the American Statistical Association, 89: 1329–1339. [Taylor & Francis Online], [Web of Sci…
Factor Analysis of Ordinal Variables
Theory and methodology for exploratory factor analysis have been well developed for continuous variables. In practice, observed or measured variables are often ordinal. However, ordinality is most often ignored and numbers such as 1, 2, 3, 4, representing ordered categories, are treated as numbers having metric properties, a procedure which is incorrect in several ways. In this article we describe four approaches to factor analysis of ordinal var…
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Factor Analysis of Ordinal Variables
Theory and methodology for exploratory factor analysis have been well developed for continuous variables. In practice, observed or measured variables are often ordinal. However, ordinality is most often ignored and numbers such as 1, 2, 3, 4, representing ordered categories, are treated as numbers having metric properties, a procedure which is incorrect in several ways. In this article we describe four approaches to factor analysis of ordinal var…
Analysis of Multivariate Social Science Data
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con
Detecting Outliers in Factor Analysis Using the Forward Search Algorithm
In this article we extend and implement the forward search algorithm for identifying atypical subjects/observations in factor analysis models. The forward search has been mainly developed for detecting aberrant observations in regression models (Atkinson, 1994 Atkinson, A. C. 1994. Fast very robust methods for the detection of multiple outliers. Journal of the American Statistical Association, 89: 1329–1339. [Taylor & Francis Online], [Web of Sci…
Latent Variable Models and Factor Analysis
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a u…
Psychometric and factor analytic evaluation of the 15D health-related quality of life instrument
Use of the Lagrange Multiplier Test for Assessing Measurement Invariance Under Model Misspecification
This article studies the Type I error, false positive rates, and power of four versions of the Lagrange multiplier test to detect measurement noninvariance in item response theory (IRT) models for binary data under model misspecification. The tests considered are the Lagrange multiplier test computed with the Hessian and cross-product approach, the generalized Lagrange multiplier test and the generalized jackknife score test. The two model misspe…
Mathematics (5 works) · Computer Science (4 works) · Statistics (4 works) · Advanced Statistical Modeling Techniques (3 works) · Advanced Statistical Methods and Models (2 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Econometrics (2 works) · Exploratory factor analysis (2 works) · Factor analysis (2 works)