Missing not at random intensive longitudinal data with dynamic structural equation models.

Authors

Institutions

Publication Details

Journal
Psychological Methods
Published
2025-02-10
DOI
https://doi.org/10.1037/met0000742
Citations
5
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
12.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Missing not at random intensive longitudinal data with dynamic structural equation models.

Daniel McNeish
5 citations
Psychological Methods
Bayesian Modeling and Causal Inference
12.40
article

Missing not at random intensive longitudinal data with dynamic structural equation models.

Daniel McNeish
article en
5 citations

Abstract

No abstract available for this paper.
Psychological Methods
Arizona State University (US)
National Institute on Drug Abuse
Openalex Percentile: Top 2%
Bayesian Modeling and Causal Inference
12.40
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Missing not at random intensive longitudinal data with dynamic structural equation models. — Daniel McNeish · Psychological Methods (2025) | TGRS Research Map | TGRS