Evidence map›Paper›PMID 42118767›Full record

ArticlePloS one2026

An exploratory psychometric network analysis of the college adaptation questionnaire in a sample of first year students.

Thomas V Pollet, Gabriele Adomaviciute, Nadine Haggag, Alyson Dodd, Sam G B Roberts

Abstract read
In one paragraph

Article in PloS one, 2026. 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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0cells of the map it votes in
0citing 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

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

5 authors.

Thomas V PolletDepartment of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.ORCID https://orcid.org/0000-0002-4210-935X
Gabriele AdomaviciuteDepartment of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Nadine HaggagDepartment of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Alyson DoddDepartment of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom.
Sam G B RobertsSchool of Psychology, Liverpool John Moores University, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition to university requires adjustment by students across many aspects of their lives. Multiple instruments have been developed to assess adjustment to life at university. One of the key instruments which has been widely adopted is the College Adaptation Questionnaire (CAQ). This measure is typically applied as a unidimensional measurement instrument. We examined the structure of the CAQ using a sample of 240 first year students at a UK university using psychometric network analyses. In addition, we examined whether the network structure for the items differed between first generation university students and non-first generation students. Using a Clique Percolation method, we found support for four clusters: satisfaction with university life and support (e.g., 'I am very satisfied with the course of my studies'), social connection (e.g., 'Sometimes I feel rather lonely'), adjustment to university (e.g., 'I find it hard to get used to life here') and student motivation ('Sometimes I want to give it all up'). Network comparison tests suggested that the structure of the psychometric network did not significantly vary according to first generation status. We discuss our findings with reference to capturing student adjustment to university. Our findings suggest that the CAQ should preferably be used as a multidimensional instrument.

Indexed as

Adaptation, PsychologicalPsychometricsStudentsAdolescentAdultFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung Adult

Identifiers

PMID42118767
PMCPMC13166933

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.