Evidence map›Paper›PMID 36684455›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2023

Nonparametric cognitive diagnosis of profiles of mathematical knowledge of teacher education candidates.

Eugenio Chandía, Teresa Sanhueza, Angélica Mansilla, Hernán Morales, Anahí Huencho, Gamal Cerda

Abstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Eugenio ChandíaUniversidad de Concepción, Concepción, Chile.ORCID 0000-0003-2489-1226
Teresa SanhuezaUniversidad Católica de Temuco, Temuco, Chile.
Angélica MansillaUniversidad de la Frontera, Temuco, Chile.
Hernán MoralesUniversidad Católica de la Santísima Concepción, Concepción, Chile.
Anahí HuenchoUniversidad Católica de Temuco, Temuco, Chile.
Gamal CerdaUniversidad de Concepción, Concepción, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, the selection process of teacher candidates has emphasized the assessment of subject matter and pedagogical knowledge using psychometric methodologies, which simply organize candidates in continuous scales and require a large number of samples. However, these methods do not allow for the identification of candidates' knowledge profiles and learning paths, which would help develop programs tailored to support students in their training process. In this study, an evaluation instrument was developed by using the nonparametric approach to model diagnostic classifications and was then validated on a sample of 119 participants. This instrument allows for disaggregating candidates' initial knowledge and establishing relationships between its components. The results showed that candidates present a variety of profiles, which may consider more than one attribute. Not only does it provide a score that can be used for selection processes, it also provides useful information for initial teacher training methods.

Indexed as

Diagnostic classification modelsNonparametricProfile of mathematical knowledgeTeacher candidates

Identifiers

PMID36684455
PMCPMC9843120

What OpenQuestion holds

Textmetadata
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.