Evidence map›Paper›PMID 40386653›Full record

ArticleJournal of chemical education2025

Investigating the Evolution of Student Attitudes toward Science in a General Chemistry Course Using Latent Class and Latent Transition Analysis.

Oluwatobi O Odeleye, Oluwaseun D Agunbiade, Adam Garber, Karen Nylund-Gibson

Abstract read
In one paragraph

Article in Journal of chemical education, 2025. 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. 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

4 authors.

Oluwatobi O OdeleyeDepartment of Chemistry, West Virginia University, Morgantown, West Virginia 26505, United States.ORCID https://orcid.org/0000-0002-0334-0268
Oluwaseun D AgunbiadeDepartment of Chemistry, West Virginia University, Morgantown, West Virginia 26505, United States.
Adam GarberUniversity of California - Santa Barbara, Santa Barbara, California 93106, United States.
Karen Nylund-GibsonUniversity of California - Santa Barbara, Santa Barbara, California 93106, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As science, technology, engineering, and mathematics (STEM) education researchers continue to explore ways to increase college student persistence in STEM fields, the affective domain (e.g., attitudes, perceptions, and self-efficacy) stands out as an area that can significantly impact these efforts. Latent class analysis (LCA) and latent transition analysis (LTA) are mixture modeling approaches that take a person-centered approach to quantitative research, which can help us to further our efforts to diversify STEM fields. This study seeks to use LCA and LTA to investigate how students' attitudes toward science in general chemistry evolve over a semester. Using the

Identifiers

PMID40386653
PMCPMC12080113

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.