Data Set that supports a PhD thesis: Developing and Testing a Brief Online Intervention Targeting Cannabis Related Psychotic Experiences
Data Set that supports a PhD thesis: Developing and Testing a Brief Online Intervention Targeting Cannabis Related Psychotic Experiences
Data Set that supports a thesis as part of the Doctorate in Clinical Psychology
Data collected via online source using Qualtrics.
Outcome measures were completed by participants at three time-points. Time 1 (0 weeks; baseline), Time 2 (1 week post intervention; 7 weeks after Time 1 for control) and Time 3 (14 weeks after Time 1).
The data was downloaded from Qualtrics to an SPSS file and analysed from there.
Software required to interpret the data is: SPSSV28
Experimental condition involved 7 weekly online sessions hosted on survey platform Prolific.
University of Southampton
Sopp, Matthew
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Richardson, Thomas
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Newman-Taylor, Katherine
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Sopp, Matthew
a43a5234-558e-40bf-a7ff-8d3c11cd5dd5
Richardson, Thomas
f8d84122-b061-4322-a594-5ef2eb5cad0d
Newman-Taylor, Katherine
e090b9da-6ede-45d5-8a56-2e86c2dafef7
Sopp, Matthew
(2022)
Data Set that supports a PhD thesis: Developing and Testing a Brief Online Intervention Targeting Cannabis Related Psychotic Experiences.
University of Southampton
doi:10.5258/SOTON/D2365
[Dataset]
Abstract
Data Set that supports a thesis as part of the Doctorate in Clinical Psychology
Data collected via online source using Qualtrics.
Outcome measures were completed by participants at three time-points. Time 1 (0 weeks; baseline), Time 2 (1 week post intervention; 7 weeks after Time 1 for control) and Time 3 (14 weeks after Time 1).
The data was downloaded from Qualtrics to an SPSS file and analysed from there.
Software required to interpret the data is: SPSSV28
Experimental condition involved 7 weekly online sessions hosted on survey platform Prolific.
Text
READ_ME_File_Data_Set_to_Support_Thesis.docx
- Text
Other
3_Master_Data_All_Variables_Correct.sav
- Dataset
Text
Screening_PIS_and_Consent_V4.docx
- Text
More information
Published date: 7 September 2022
Identifiers
Local EPrints ID: 469290
URI: http://eprints.soton.ac.uk/id/eprint/469290
PURE UUID: d7cb9470-edc3-405f-b17d-a5fa878cf942
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Date deposited: 13 Sep 2022 16:34
Last modified: 07 Sep 2024 04:01
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Creator:
Matthew Sopp
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