ArticlePsychological assessment2021
Validation of the Social Information Processing Application (SIP-AP) across genders, socioeconomic levels, and forms of aggression.
Article in Psychological assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Children's Responses to Peer Conflict Scenarios: Feasibility and Initial Psychometric Properties of an Interactive Virtual Reality Assessment in a Clinical and Non-Clinical Sample.Research on child and adolescent psychopathology · 2026Article
- ADHD and Sex Differences in School Bullying Victimization and Perpetration Based on Inverse Probability Treatment Weighting.Child psychiatry and human development · 2025Article
- Children's social information processing predicts both their own and peers' conversational remarks.Developmental psychology · 2023Article
- Early Adolescents' Social Goals in Peer Conflict Situations: A Mixed Methods Study.The Journal of early adolescence · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The goals of the current study were to (a) replicate the factor structure of the Social Information Processing Application (SIP-AP), (b) evaluate the measurement invariance of the SIP-AP across genders, socioeconomic (SES) levels, and forms of aggression, and (c) assess the convergent validity of the SIP-AP through associations with aggression, social competence, and rule-breaking behavior. Participants were 189 racially/ethnically diverse children (53% male;
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Registered trials
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.