Evidence map›Paper›PMID 39881705›Full record

ArticleFrontiers in psychology2024

A didactic illustration of writing skill growth through a longitudinal diagnostic classification model.

Hamdollah Ravand, Farshad Effatpanah, Olga Kunina-Habenicht, Matthew J Madison

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hamdollah RavandEnglish Department, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.
Farshad EffatpanahResearch Unit of Psychological Assessment, Faculty of Rehabilitation Sciences, TU Dortmund University, Dortmund, Germany.
Olga Kunina-HabenichtResearch Unit of Psychological Assessment, Faculty of Rehabilitation Sciences, TU Dortmund University, Dortmund, Germany.
Matthew J MadisonDepartment of Educational Psychology, University of Georgia, Athens, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diagnostic classification models (DCMs) have received increasing attention in cross-sectional studies. However, L2 learning studies, tracking skill development over time, require models suited for longitudinal analyses. Growth DCMs offer a promising framework for such analyses. Method: This study utilizes writing data from two learner groups: one receiving peer feedback ( Results: The multi-group analysis revealed similar V-shaped growth trajectories for Grammar and Vocabulary, along with consistent inverted V-shaped patterns for Organization and Content in both groups. Discussion: The results showed minor differences between the two groups, potentially indicating the limited impact of peer feedback on L2 writing development. This could be attributed to the social dynamics between peers.

Indexed as

diagnostic classification modelsfeedbackgrowth modelingL2 writingTDCM

Identifiers

PMID39881705
PMCPMC11775902

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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.