Evidence map›Paper›PMID 42352685›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Uncovering Motivational Profiles Among Academically Resilient Students: A Population-Level Latent Profile Analysis.

Michele Zacchilli, Giulia Raimondi, Sara Manganelli, Elisa Cavicchiolo, Tommaso Palombi, James Dawe, Barbara Cazzolli, Fabio Lucidi, Fabio Alivernini

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

9 authors.

Michele ZacchilliDepartment of Social and Developmental Psychology, University of Rome "La Sapienza", Via dei Marsi 78, 00185 Rome, Italy.ORCID 0009-0002-5930-9478
Giulia RaimondiBeSSA Department, Wellbeing, Health and Environmental Sustainability, University of Rome "La Sapienza", Via delle Fontanelle, 02100 Rieti, Italy.
Sara ManganelliDepartment of Social and Developmental Psychology, University of Rome "La Sapienza", Via dei Marsi 78, 00185 Rome, Italy.ORCID 0000-0002-1748-7295
Elisa CavicchioloDepartment of Systems Medicine, Tor Vergata University of Rome, Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0001-8552-2737
Tommaso PalombiDepartment of Dynamic and Clinical Psychology and Health Studies, University of Rome "La Sapienza", Via degli Apuli 1, 00185 Rome, Italy.ORCID 0000-0001-7548-3949
James DaweDepartment of Humanities and Social Sciences, Universitas Mercatorum Telematic University, Piazza Mattei 10, 00186 Rome, Italy.ORCID 0000-0002-0204-7553
Barbara CazzolliDepartment of Social and Developmental Psychology, University of Rome "La Sapienza", Via dei Marsi 78, 00185 Rome, Italy.ORCID 0009-0001-0320-2826
Fabio LucidiDepartment of Social and Developmental Psychology, University of Rome "La Sapienza", Via dei Marsi 78, 00185 Rome, Italy.ORCID 0000-0003-2203-9566
Fabio AliverniniDepartment of Social and Developmental Psychology, University of Rome "La Sapienza", Via dei Marsi 78, 00185 Rome, Italy.ORCID 0000-0002-8998-9374

Funding

Sapienza University of Rome RG12419034CA2778
6 · The paper itself

Abstract

Academically resilient students achieve high performance despite socioeconomic disadvantages. Although this population has received increasing attention, little is known about its motivational heterogeneity, a critical gap given the central role of motivation in persistence and success. Guided by Self-Determination Theory (SDT), this study examined motivational profiles among a population of academically resilient 10th-grade students in Italy (N = 15,751). Using a person-centered approach, Latent Profile Analysis (LPA) identified three profiles: a "multifaceted regulation resilient" profile (72%), marked by low amotivation and high levels across regulations; a "moderately amotivated resilient" profile (21%), with higher amotivation and lower levels of regulation; and a "strongly amotivated resilient" profile (7%), characterized by the highest amotivation and the lowest levels of regulation. Auxiliary analyses indicated that the amotivated profiles, particularly the "strongly amotivated resilient" profile, exhibited higher school dropout intentions than the "multifaceted regulation resilient" profile. Overall, although the majority of academically resilient students displayed multiple coexisting forms of regulation, a non-negligible subgroup showed significant motivational vulnerability, with amotivation emerging as a central risk factor. These findings challenge the assumption that academic resilience is sufficient to protect students from motivational disengagement and dropout risk. High academic achievement, in other words, should not be taken to imply the absence of motivational concerns. This highlights the importance of moving beyond a one-size-fits-all approach, recognizing that even within resilient populations, specific subgroups remain motivationally vulnerable and in need of tailored support.

Indexed as

amotivationhigh school studentslatent profile analysisLPAmotivationresilient studentsschool dropoutSDTSelf-Determination Theory

Identifiers

PMID42352685
PMCPMC13295672

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.