Evidence map›Paper›PMID 42076791›Full record

ArticleAutism : the international journal of research and practice2026

Participatory Development and Psychometric Evaluation of the Introspective Predictive Processing Inventory: A Self-Report Measure for Autistic and Non-Autistic Adults.

Marik Roos, Hannah Storm, Lucie Zimmer, Tobias Schuwerk

Abstract readValidation Study
In one paragraph

Article in Autism : the international journal of research and practice, 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

4 authors.

Marik RoosUniversität Wien, Austria.
Hannah StormLudwig-Maximilians-Universität München, Germany.
Lucie ZimmerLudwig-Maximilians-Universität München, Germany.
Tobias SchuwerkLudwig-Maximilians-Universität München, Germany.ORCID 0000-0003-3720-7120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional self-report autism measures are often constructed from an "outside view" by non-autistic researchers rather than reflecting authentic autistic experiences. Predictive processing theory offers a framework for understanding autism, but comprehensive tools assessing the subjective manifestations of predictive processing differences and associated challenges have been lacking. This study aimed to develop and validate the Introspective Predictive Processing Inventory (IPPI), a self-report measure assessing predictive processing characteristics and their subjective consequences in everyday life. Through community-led, participatory research, we developed an initial 65-item version in German and English, and employed a five-stage validation approach across three samples (

Indexed as

Autistic DisorderSelf ReportAdolescentAdultCommunity-Based Participatory ResearchFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung Adultautismparticipatory researchpredictive processingpsychometric validationself-report measure

Identifiers

PMID42076791
PMCPMC13187222

What OpenQuestion holds

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LicenceCC BY
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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.