A Typological and Probabilistic Approach for Exploring Cross-Cultural Differences
Two-Level Latent Class Models
Bibliographic Data
| ID | 2314601 |
|---|---|
| Authors | Hsiu-Ting Yu (McGill University, Montreal, Quebec, Canada), Hsiu‐Ting Yu (0000-0002-3668-8033, McGill University, corresponding author) |
| Year | 2015 |
| Volume | 46 |
| Issue | 1 |
| Pages | 3-18 |
| Publication date | 2015-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cross-Cultural Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-0221 • E-ISSN: 1552-5422 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0022022114555764 |
| OpenAlex | W2109343132 |
| Language | EN |
| Citations received | 4 |
| References cited | 34 |
Discrete latent constructs are useful and versatile tools when applied to theories or hypotheses typically made in cultural psychology. The two-level latent class model (TL-LCM) is proposed as an analytical framework using discrete latent variables for underlying typological structure. The typological and probabilistic characteristics of the TL-LCM offer several advantages over the traditional dimensional and deterministic models commonly used in cross-cultural research. Specifically, the TL-LCM allows researchers to form alternative typological hypotheses about the latent constructs instead of being bound with dimensional assumptions of latent constructs. In addition, the TL-LCM provides a probabilistic approach to studying the latent structures simultaneously at two nested levels. The probabilistic characteristic of the TL-LCM also relaxes the strong and often unrealistic assumption that individuals within the same higher unit are homogeneous. Therefore, the TL-LCM not only offers researchers new potential perspectives in exploring differences between cultures, but it also facilitates the process of forming theories and hypotheses so that knowledge and understanding of cultural differences and similarities can be further advanced. Two examples demonstrated the usefulness and flexibility of applying the TL-LCM to analyze nested cross-cultural data. The examples showed that differences between countries can be thought of as arising from the fact that individuals within different countries have different probabilities of falling into one of multiple classes, rather than assuming that the individuals within each country are homogeneous
Class (philosophy · Econometrics · Flexibility (engineering · Homogeneous · Latent class model · Latent variable · Latent variable model · Machine learning · Probabilistic logic · Statistical model · Statistics · Artificial Intelligence · Categorization, perception, and language · Computer Science · Cultural Differences and Values · Mathematics · Psychology · Social and Intergroup Psychology
Latent structure analysis
Cross-Cultural Research Methods in Psychology
Variance Components
Methods and Data Analysis for Cross-Cultural Research
Loglinear models with Latent Variables
Random-Effects Models for Longitudinal Data
Where (Who) Are Collectives in Collectivism? Toward Conceptual Clarification of Individualism and Collectivism.
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Universals in the Content and Structure of Values
Latent Class Models
Latent Trait and Latent Class Models
Multilevel Analysis
Mean and Covariance Structures (Macs) Analyses of Cross-Cultural Data
Where Is Culture in Cross Cultural Research
Allocentric versus idiocentric tendencies
Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance
Collectivism and Individualism as Cultural Syndromes
Norms for experiencing emotions in different cultures
Multilevel Latent Class Models
The psychological measurement of cultural syndromes
Contextualism as an Important Facet of Individualism-Collectivism
Comparing Typological Structures Across Cultures By Multigroup Latent Class Analysis
Methodological Issues in Psychological Research on Culture
| Citations per year | 0.4 |
|---|---|
| Citation span | 2016 - 2025 (10) |
| Highly cited | No |