Mixed Effects of Item Parceling on Performance of Factor Mixture Modeling
Bibliographic Data
| ID | 21641972 |
|---|---|
| Authors | Eunsook Kim (0000-0003-1054-1735, University of South Florida, corresponding author), Diep Nguyen (0000-0002-7103-7877, University of South Florida), Siyu Liu (0000-0001-8049-7771, University of South Florida), Yan Wang (0009-0009-9633-0023, University of Massachusetts Lowell) |
| Year | 2022 |
| Volume | 29 |
| Issue | 2 |
| Pages | 207-217 |
| Publication date | 2022-03-04 |
| 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 | 10.1080/10705511.2021.1965483 |
| OpenAlex | W3198883531 |
| Language | EN |
| Citations received | 2 |
| References cited | 51 |
Factor mixture modeling (FMM) is generally complex with both unobserved categorical and unobserved continuous variables. We explore the potential of item parceling to reduce the model complexity of FMM and improve convergence and class enumeration accordingly. To this end, we conduct Monte Carlo simulations with three types of data, continuous, polytomous, and binary under two levels of model complexity, constrained FMM under strict invariance and relaxed FMM under scalar or metric invariance. The results show that item parceling could be advantageous for FMM with binary items but not with continuous or polytomous items
Binary number · Categorical variable · Econometrics · Item response theory · Monte Carlo method · Polytomous Rasch model · Psychometrics · Statistics · Advanced Text Analysis Techniques · Bayesian Methods and Mixture Models · Computer Science · Consumer Market Behavior and Pricing · Mathematics · Applied Mathematics
Three Approaches to Using Lengthy Ordinal Scales in Structural Equation Models
The use of item parcels in structural equation modelling
Testing Measurement Invariance
Item Parceling Strategies in SEM
A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA
General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety
On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
Item factor analysis
Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis
Why the items versus parcels controversy needn’t be one.
A Comparison of Approaches to Forming Composite Measures in Structural Equation Models
A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data
Investigating population heterogeneity with factor mixture models.
Four Research Designs and a Comprehensive Analysis Strategy for Investigating Common Method Variance with Self-Report Measures Using Latent Variables
The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling
Analyzing developmental trajectories
Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
A new look at the statistical model identification
Estimating the Dimension of a Model
Application of Model-Selection Criteria to Some Problems in Multivariate Analysis
Sample size in factor analysis.
Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling
Combined Approach to Multi-Informant Data Using Latent Factors and Latent Classes
A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles
The Quality of Factor Solutions in Exploratory Factor Analysis
Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling
Testing Measurement Invariance Across Unobserved Groups
The Effects of Sample Size on the Estimation of Regression Mixture Models
Latent Variable Interactions With Ordered-Categorical Indicators
To Parcel or Not to Parcel
Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis
Distinguishing Between Latent Classes and Continuous Factors
Parameter Recovery and Model Fit Using Multidimensional Composites
Distinguishing Between Latent Classes and Continuous Factors with Categorical Outcomes
Relationship Between Workplace Ostracism and Unsafe Behaviors
Conventional wisdom on measurement
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |