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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Teachers’ Intention to Report Child Maltreatment: Testing Theoretically Derived Predictions

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Author
Christodoulou A.-D., Abakoumkin G., Tseliou E.
Date
2019
Language
en
DOI
10.1007/s10566-019-09492-x
Keyword
adult
article
child abuse
female
human
human experiment
major clinical study
male
neglect
prediction
teacher
theoretical study
Theory of Planned Behavior
Theory of Reasoned Action
Springer New York LLC
Metadata display
Abstract
Background: Child maltreatment (CM) is a serious societal problem that needs to be reported in order to be dealt with. Teachers, who are in a key position to identify and report CM, often do not report it and this instigated much research on teachers’ intention to report CM. However, most of this research examined potentially related variables without using any particular theory, while the few theoretically informed studies mostly used the theory of planned behavior (TPB), an extension of the theory of reasoned action (TRA). Objective: In the present study, both TRA and TPB were used to predict teachers’ intention to report CM. Method: Teachers’ (N = 117) attitude, subjective norm, perceived behavioral control and intention to report CM were assessed with the Child Abuse Report Intention Scale (CARIS) in a 4 (abuse type: physical vs. sexual vs. emotional vs. neglect) × 2 (severity level: low vs. high) within subjects design. Results: TRA and TPB could both predict teachers’ intention to report CM. However, TRA was better than TPB in predicting report intention for low severity cases, whereas TPB was better for high severity cases. Conclusions: TRA and TPB are both useful theories within the context of reporting CM. For the reporting of high (but not low) severity CM it is crucial to understand the potential reporter’s relevant control beliefs. Theoretically driven research on teachers’ intentions to report CM promises an overall better handling of this serious societal problem. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
URI
http://hdl.handle.net/11615/72847
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