Dataset supporting the Thesis: An Exploration of Causal Attributions for Challenging Behaviour in Primary-School-Aged Children.
Dataset supporting the Thesis: An Exploration of Causal Attributions for Challenging Behaviour in Primary-School-Aged Children.
This Dataset is supporting a PhD thesis- An Exploration of Causal Attributions for Challenging Behaviour in Primary-School-Aged Children. Data was collected via semi-structured interviews by the lead author (Caroline Bird). Interviews were audio-recorded and later transcribed. Transcripts of interviews were then analysed using inductive thematic analysis to create thematic maps and using the Leeds Attributional Coding System using SPSS.
All data was anonymised to allow for sharing in line with ethical approval (47107)
- Information Sheets, consent form and transcripts can be viewed using Microsoft Word.
- Thematic Maps can be viewed using powerpoint and/ or software that can read .png files
- Inductive thematic codes can be viewed using NVivo
- Leeds Attributional Coding System data can be viewed using SPSS
This dataset contains:
- Information Sheet (Foster Carers)
- Information Sheet (Teachers)
- Consent Form
- Transcripts (FC1-10 and T1-8)
- Thematic Maps (Foster Carers)
- Thematic Maps (Teachers)
- Leeds Attributional Coding System (Munton, G, A., Silvester, J., Stratton, P., & Hanks, H. (1999). Attributions in Action: A Practical Approach to Coding Qualitative Data. Chichester: John Wiley & Sons.)
Date of data collection: March 2019 - July 2020
Information about geographic location of data collection: South East England
University of Southampton
Bird, Caroline Francesca
060952fe-6871-4045-b710-cb22341bb3f0
Kreppner, Jana
6a5f447e-1cfe-4654-95b4-e6f89b0275d6
Bird, Caroline Francesca
060952fe-6871-4045-b710-cb22341bb3f0
Kreppner, Jana
6a5f447e-1cfe-4654-95b4-e6f89b0275d6
Bird, Caroline Francesca
(2021)
Dataset supporting the Thesis: An Exploration of Causal Attributions for Challenging Behaviour in Primary-School-Aged Children.
University of Southampton
doi:10.5258/SOTON/D1549
[Dataset]
Abstract
This Dataset is supporting a PhD thesis- An Exploration of Causal Attributions for Challenging Behaviour in Primary-School-Aged Children. Data was collected via semi-structured interviews by the lead author (Caroline Bird). Interviews were audio-recorded and later transcribed. Transcripts of interviews were then analysed using inductive thematic analysis to create thematic maps and using the Leeds Attributional Coding System using SPSS.
All data was anonymised to allow for sharing in line with ethical approval (47107)
- Information Sheets, consent form and transcripts can be viewed using Microsoft Word.
- Thematic Maps can be viewed using powerpoint and/ or software that can read .png files
- Inductive thematic codes can be viewed using NVivo
- Leeds Attributional Coding System data can be viewed using SPSS
This dataset contains:
- Information Sheet (Foster Carers)
- Information Sheet (Teachers)
- Consent Form
- Transcripts (FC1-10 and T1-8)
- Thematic Maps (Foster Carers)
- Thematic Maps (Teachers)
- Leeds Attributional Coding System (Munton, G, A., Silvester, J., Stratton, P., & Hanks, H. (1999). Attributions in Action: A Practical Approach to Coding Qualitative Data. Chichester: John Wiley & Sons.)
Date of data collection: March 2019 - July 2020
Information about geographic location of data collection: South East England
Text
C_Bird_PhD_thesis_readme.txt
- Dataset
Text
Participant_Information_Sheet_foster_carers.pdf
- Text
Text
Consent_form.pdf
- Text
Text
Participant_Information_Sheet_teachers.pdf
- Text
Archive
Leeds_Attributional_Coding_System.zip
- Dataset
Archive
Transcripts.zip
- Dataset
Archive
Thematic_Analysis.zip
- Dataset
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More information
Published date: 11 September 2021
Identifiers
Local EPrints ID: 469351
URI: http://eprints.soton.ac.uk/id/eprint/469351
PURE UUID: 9a73bf3f-73b1-4437-94d2-7b3338d76735
Catalogue record
Date deposited: 13 Sep 2022 16:53
Last modified: 06 May 2023 01:43
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Contributors
Creator:
Caroline Francesca Bird
Research team head:
Jana Kreppner
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