The University of Southampton
University of Southampton Institutional Repository

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 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
a43a5234-558e-40bf-a7ff-8d3c11cd5dd5
Richardson, Thomas
f8d84122-b061-4322-a594-5ef2eb5cad0d
Newman-Taylor, Katherine
e090b9da-6ede-45d5-8a56-2e86c2dafef7
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]

Record type: 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
Available under License Creative Commons Attribution.
Download (16kB)
Other
3_Master_Data_All_Variables_Correct.sav - Dataset
Restricted to System admin until 7 September 2024.
Available under License Creative Commons Attribution.
Text
Screening_PIS_and_Consent_V4.docx - Text
Available under License Creative Commons Attribution.
Download (22kB)

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
ORCID for Thomas Richardson: ORCID iD orcid.org/0000-0002-5357-4281
ORCID for Katherine Newman-Taylor: ORCID iD orcid.org/0000-0003-1579-7959

Catalogue record

Date deposited: 13 Sep 2022 16:34
Last modified: 06 May 2023 02:02

Export record

Altmetrics

Contributors

Creator: Matthew Sopp
Research team head: Thomas Richardson ORCID iD
Research team head: Katherine Newman-Taylor ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×