Evidence map›Paper›PMID 36226160›Full record

ArticleWellcome open research2022

lcsm: An R package and tutorial on latent change score modelling.

Milan Wiedemann, Graham Thew, Urška Košir, Anke Ehlers

Abstract read
In one paragraph

Article in Wellcome open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Latent change-on-change between amyloid accumulation and cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Milan WiedemannDepartment of Experimental Psychology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-1991-282X
Graham ThewDepartment of Experimental Psychology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2851-1315
Urška KoširDepartment of Experimental Psychology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2132-4090
Anke EhlersDepartment of Experimental Psychology, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 200796/Z/16/Z
6 · The paper itself

Abstract

Latent change score models (LCSMs) are used across disciplines in behavioural sciences to study how constructs change over time. LCSMs can be used to estimate the trajectory of one construct (univariate) and allow the investigation of how changes between two constructs (bivariate) are associated with each other over time. This paper introduces the R package lcsm, a tool that aims to help users understand, analyse, and visualise different latent change score models. The lcsm package provides functions to generate model syntax for basic univariate and bivariate latent change score models with different model specifications. It is also possible to visualise different model specifications in simplified path diagrams. An interactive application illustrates the main functions of the package and demonstrates how the model syntax and path diagrams change based on different model specifications. This R package aims to increase the transparency of reporting analyses and to provide an additional resource to learn latent change score modelling.

Indexed as

latent change score modellinglavaanlongitudinal data analysisRstructural equation modelling

Identifiers

PMID36226160
PMCPMC9547120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.