Evidence map›Paper›PMID 34456789›Full record

ArticleFrontiers in psychology2021

Latent Congruence Model to Investigate Similarity and Accuracy in Family Members' Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance.

Semira Tagliabue, Michela Zambelli, Angela Sorgente, Sabrina Sommer, Christian Hoellger, Heike M Buhl, Margherita Lanz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 2 institutions in 2 countries.

Semira TagliabueDepartment of Psychology, Università Cattolica del Sacro Cuore, Brescia, Italy.
Michela ZambelliDepartment of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Angela SorgenteDepartment of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Sabrina SommerDepartment of Psychology, Paderborn University, Paderborn, Germany.
Christian HoellgerDepartment of Psychology, Paderborn University, Paderborn, Germany.
Heike M BuhlDepartment of Psychology, Paderborn University, Paderborn, Germany.
Margherita LanzDepartment of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Università Cattolica del Sacro Cuore · ITPaderborn University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several methods are available to answer questions regarding similarity and accuracy, each of which has specific properties and limitations. This study focuses on the Latent Congruence Model (LCM; Cheung, 2009), because of its capacity to deal with cross-informant measurement invariance issues. Until now, no cross-national applications of LCM are present in the literature, perhaps because of the difficulty to deal with both cross-national and cross-informant measurement issues implied by those models. This study presents a step-by-step procedure to apply LCM to dyadic cross-national research designs controlling for both cross-national and cross-informant measurement invariance. An illustrative example on parent-child support exchanges in Italy and Germany is provided. Findings help to show the different possible scenarios of partial invariance, and a discussion related to how to deal with those scenarios is provided. Future perspectives in the study of parent-child similarity and accuracy in cross-national research will be discussed.

Indexed as

accuracycross-informantcross-nationallatent congruence modelmeasurement invarianceparent-child relationshipsimilaritysupport exchanges

Identifiers

PMID34456789
PMCPMC8385144
OpenAlexW3195815076

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.