Residual Associations in Latent Class and Latent Transition Analysis
By T. Asparouhov, Bengt Muthen. 2015
787 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ba5fbba31be98f8a700157eeae0abdeeaa078670
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Katherine E. Masyn
- T. Asparouhov
- Jan Cieciuch
- Deana Desa
- E. S. Kim
- Chunhua Cao
- Yan Wang
- Diep T. Nguyen
In Statistics and Probability
- Katherine E. Masyn
- Alexandre J. S. Morin
- Deana Desa
- T. Asparouhov
- E. S. Kim
- Eldad Davidov
- Leslie Rutkowski
- Dubravka Svetina
Citations in the corpus
- Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches (2017, methodology): “Alignment optimization or the alignment method (alignment) is also a relatively new method developed by Asparouhov and Muthén (2014).”
- Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration (2016, neutral): “…for the conditional independence assumption under the M1 model and reiteration of the class enumeration process with relaxation of the conditional independence assumption under the M1 model utilizing within-class residual covariances between latent class indicators (Asparouhov & Muthén, 2015).”
- Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages (2020, methodology): “…(Chen, 2007; Cheung & Rensvold, 2002; French & Finch, 2006; Meade, Johnson, & Braddy, 2008); however, recent research has pointed to the fact that comparisons across more than two groups create added complexity (Asparouhov & Muthén, 2014; Rutkowski & Svetina, 2014, 2017; Svetina & Rutkowski, 2017).”
- On Detecting Systematic Measurement Error in Cross-Cultural Research: A Review and Critical Reflection on Equivalence and Invariance Tests (2018, background): “Alignment is a third promising approach to estimate group-specific factor means and variances without requiring full measurement invariance (Asparouhov & Muthén, 2014).”
- Recent Methods for the Study of Measurement Invariance With Many Groups (2018, positive): “Fixed mode: Alignment (Asparouhov and Muthén 2014).”
- The WHO-5 well-being index – validation based on item response theory and the analysis of measurement invariance across 35 countries (2020, methodology): “Thus, facor mean estimates and factor mean rankings of the alignment method merged as pretty reliable ( Muthén and Asparouhov, 2014 ).”
- An Investigation of the Alignment Method With Polytomous Indicators Under Conditions of Partial Measurement Invariance (2018, methodology): “…of Partial Measurement Invariance Jessica K. Flake1 and D. Betsy McCoach2 1York University 2University of Connecticut The alignment method (Asparouhov & Muthén, 2014) is an alternative to multiple-group factor analysis for estimating measurement models and testing for measurement…”
- Measurement Invariance and Differential Item Functioning in Latent Class Analysis With Stepwise Multiple Indicator Multiple Cause Modeling (2017, positive): “The local independence assumption can be relaxed (allowing residual covariances between two or more items within one or more latent classes; Asparouhov & Muthén, 2015), but in most software packages for latent class analysis, this assumption will be imposed as the default for the estimation of the…”
- Measurement Invariance of the Satisfaction With Life Scale Across 26 Countries (2017, methodology): “Table 2 demonstrates an invariance pattern with the two alignment fit indices: (a) a fit function contribution value and (b) a R2 value (Asparouhov & Muthén, 2014).”
- MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE 1 Running Head : MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE The Cross-National Invariance Properties of a New Scale to Measure 19 Basic Human Values . A Test across Eight Countries (2014, methodology): “…conceptually narrower values (e.g., three subtypes of universalism), it was possible to measure their 5 Two recently proposed methods, alignment (Asparouhov and Muthén 2013) and Bayesian structural equation modeling (BSEM; Muthén & Asparouhov 2012, 2013), offer alternative ways to test for…”
- Cross-cultural comparability of noncognitive constructs in TIMSS and PISA (2018, background): “…we can either lower the strictness in parameter constraints to seek partial invariance (Byrne & van de Vijver, 2010) or approximate invariance (Asparouhov & Muthén, 2014; Muthén & Asparouhov, 2012) to tolerate trivial differences, Argentina (CAB) AustraliaCanada Chile Chinese Taipei Hong…”
- Evaluating Measurement Invariance of TALIS 2013 Complex Scales: Comparison between Continuous and Categorical Multiple-Group Confirmatory Factor Analyses (2014, methodology): “Studies in Asparouhov and Muthén (2013), Finch and French (2008) and Muthén and Asparouhov (2013) urged for the application of Bayesian structural equation modelling measurement invariance analysis and multiple group factor analysis alignment.4 These are radically different methods that can be used…”
- Testing Measurement Invariance for a Second-Order Factor. A Cross-National Test of the Alienation Scale (2018, background): “For this reason, novel and more lenient forms of measurement invariance methods such as approximate Bayesian invariance (Muthén & Asparouhov, 2013) or alignment (Asparouhov & Muthén, 2014) are gaining popularity.”