A Unifying Framework for Markov Modeling in Discrete Space and Discrete Time
Datos Bibliográficos
| ID | 2331655 |
|---|---|
| Autores | Rolf Langeheine (University of Kiel), Frank Van De Pol (Netherlands Central Bureau of Statistics) |
| Año | 1990 |
| Volumen | 18 |
| Número | 4 |
| Páginas | 416-441 |
| Fecha de publicación | 1990-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Methods & Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124190018004002 |
| OpenAlex | W1978419712 |
| Idioma | EN |
| Citas recibidas | 21 |
| Referencias citadas | 25 |
The focus of this article is on Markov models for the analysis of panel data and, more specifically, on data obtained from repeated measurements of one categorical variable at several consecutive points in time. We first review developments in the field that attack the two main problems of the simple Markov model. The Mixed Markov model extends the simple model by allowing for population heterogeneity; the Latent Markov model incorporates measurement error and latent change into the simple model. Second, we present the more general Latent Mixed Markov model and show how both the Mixed Markov model and the Latent Markov model, as well as several more specific models, relate to this more general model. Finally, we reanalyze the Los Angeles panel data on depression with a focus on stability and change
Categorical variable · Econometrics · Latent variable · Latent variable model · Markov chain · Markov kernel · Markov model · Markov process · Markov property · Markov renewal process · Simple (philosophy) · Statistics · Variable-order Markov model · Computer Science · Mathematics · Spatial and Panel Data Analysis · Statistical Methods and Bayesian Inference · Urban, Neighborhood, and Segregation Studies
The (artefactual) remission of reading disability
Markov Models and Social Analysis
Emotional and motivational experiences in teacher–student relationships and psychological need satisfaction during adolescence
Poverty dynamics corrected for measurement error
Lotteries as Incentives in Longitudinal Web Studies
Diagnosing incremental learning
Latent Class Models
Four Useful Finite Mixture Models for Regression Analyses of Panel Data with a Categorical Dependent Variable
Latent Class Marginal Models for Cross-Classifications of Counts
A Latent-Change Scaling Model for Longitudinal Multiple Choice Data
The Mixed Effects Trend Vector Model
Log-Linear Models for Change in Manifest Categorical Variables
The Latent Markov Chain with Multivariate Random Effects
Socioeconomic inequalities in health dynamics
Bootstrapping Goodness-of-Fit Measures in Categorical Data Analysis
Expanding the Markov Chain Toolbox
Latent Markov Model for Analyzing Temporal Configuration for Violence Profiles and Trajectories in a Sample of Batterers
Falling Short of the Promise
Measuring Vulnerability to Poverty with Latent Transition Analysis
Re-Assessing Poverty Dynamics and State Protections in Britain and the US
An attempt to classify satisfaction changes
Ideology and discontent
Discrete Multivariate Analysis
Introduction to Mathematical Sociology
The industrial mobility of labor as a probability process
Structural Equation Models in the Social Sciences
Statistical Inference about Markov Chains
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Latent Trait and Latent Class Models
A structural model of the higher‐order Markov process incorporating reversion effects
The Analysis of Systems of Qualitative Variables When Some of the Variables Are Unobservable. Part I-A Modified Latent Structure Approach
The Analysis of Mobility Processes by the Introduction of Independent Variables into a Markov Chain
Mathematical Methods in the Social Sciences
Measurement and Prediction
A Latent Markov Model to Correct for Measurement Error
The Mover-Stayer Model
The Neglected Problem of Measurement Error in Categorical Data
Parameter Estimation for Mover-Stayer Models
Statistical Methods for Analyzing Processes of Change
| Obras citantes distintas | 21 |
|---|---|
| Citas por año | 0,62 |
| Intervalo de citas | 1992 - 2026 (35) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 20 |