Testing the degree of cross-sectional and longitudinal dependence between two discrete dynamic processes
Bibliographic Data
| ID | 9786598 |
|---|---|
| Authors | Brian Flaherty (0000-0002-8369-9851, University of Washington, corresponding author) |
| Year | 2008 |
| Volume | 44 |
| Issue | 2 |
| Pages | 468-480 |
| Publication date | 2008-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Developmental Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0012-1649 • E-ISSN: 1939-0599 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0012-1649.44.2.468 |
| PMID | 18331137 |
| PMCID | PMC3880677 |
| OpenAlex | W2010610656 |
| Language | EN |
| Citations received | 4 |
| References cited | 17 |
Developmental research often involves studying change across 2 or more processes or constructs simultaneously. A natural question in this work is whether change in these 2 processes is related or independent. Associative latent transition analysis (ALTA) was designed to test hypotheses about the degree to which change in 2 discrete latent variables is related. The ALTA model is a type of latent class model, which is a categorical latent variable model based on categorical indicators. In the ALTA approach, level and change on 1 variable is predicted by level and change in another. Two types of hypotheses are discussed: (a) broad hypotheses of dependence between the 2 discrete latent variables and (b) targeted hypotheses comparing specific patterns of change between levels of the discrete variables. Both types of hypotheses are tested via nested model comparisons. Analyses of relations between psychological state and substance use illustrate the model. Recent psychological state and recent substance use were found to be associated cross-sectionally and longitudinally, implying that change in recent substance use was related to change in recent psychological state
Categorical variable · Cognitive psychology · Developmental psychology · Econometrics · Latent class model · Latent variable · Latent variable model · Local independence · Statistics · Structural equation modeling · Cognitive Abilities and Testing · Mathematics · Mental Health Research Topics · Psychology · Social Psychology
An Introduction to Latent Class and Latent Transition Analysis
Dynamic Transition Patterns in Acculturation Among Hispanic Adolescents
Understanding Linkages Among Mixture Models
Potential causal relationship between depressive symptoms and academic achievement in the Hawaiian high schools health survey using contemporary longitudinal latent variable change models
Latent structure analysis
Latent Class Analysis
An Introduction to the Bootstrap
Latent Class and Latent Transition Analysis
Exploratory latent structure analysis using both identifiable and unidentifiable models
An Illustration of a Longitudinal Cross-Lagged Design for Larger Structural Equation Models
Finite Mixture Models
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Structural Equations with Latent Variables
Latent Class Models
A Cross-Domain Model for Growth in Adolescent Alcohol Expectancies
An Alternative Framework for Defining Mediation
Using the longitudinal Guttman simplex as a basis for measuring growth
Random-Effects Modeling of Categorical Response Data
Categorical Causal Modeling
Latent Structure Models with Direct Effects between Indicators
Multilevel Modeling for Binary Data
| Citations per year | 0.29 |
|---|---|
| Citation span | 2012 - 2020 (9) |
| Highly cited | No |