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Data and code for - Personality and Team Identification Predict Violent Intentions Among Soccer Supporters

https://doi.org/10.17045/STHLMUNI.14980251
I attach data and code to reproduce analyses for manuscript - Personality and Team Identification Predict Violent Intentions Among Soccer Supporters. I have attached the following data files: - Soccer_supporters_raw.sav - Soccer_data_raw.csv - Soccer_data.xlsx - Soccerpathmodel.txt Codebook: - CodeBook_soccersupportersdata.csv*Note that this codebook applies to the raw data. And code: Syntax_soccer_supporters.sps (to be opened in SPSS)*Note that this code is also available in non-proprietary .txt format: Syntax_soccer_supporters.txt Soccerpathmodel.inp (to be opened in MPLUS (Muthén & Muthén, 2012, see also https://www.statmodel.comÖppnas i en ny tabb ). @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536859905 -1073732485 9 0 511 0Öppnas i en ny tabb;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin-top:6.0ptÖppnas i en ny tabb; margin-right:0cm; margin-bottom:12.0ptÖppnas i en ny tabb; margin-left:0cm; mso-pagination:widow-orphan; font-size:12.0ptÖppnas i en ny tabb; mso-bidi-font-size:11.0ptÖppnas i en ny tabb; font-family:"Times New Roman",serif; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:11.0ptÖppnas i en ny tabb; mso-ansi-font-size:11.0ptÖppnas i en ny tabb; mso-bidi-font-size:11.0ptÖppnas i en ny tabb; font-family:"Cambria",serif; mso-ascii-font-family:Cambria; mso-ascii-theme-font:major-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoPapDefault {mso-style-type:export-only; margin-bottom:10.0ptÖppnas i en ny tabb; line-height:115%;}div.WordSection1 {page:WordSection1;} *Note that this code is also available in non-proprietal .txt format: soccerpathmodelcode.txt To reproduce the results for this manuscript, please first open the file “Soccer_supporters_raw.sav” in SPSS (ideally version 25, with PROCESS add-on), and run the accompanying syntax: “Syntax_soccer_supporters.sps”. I also attach a non-proprietary version of this raw data - Soccer_data_raw.csv Note that the code/syntax to run mediation analyses with PROCESS, is not available, since PROCESS does not allow for the pasting of syntax. So this part of the analyses needs to be completed manually through the point-and-click interface. The remaining analyses were conducted in MPLUS. To do so, the original raw SPSS file was saved (after recoding and computing index variables), as a text file. We have also included this data in .xlsx format - see file Soccer data.xlsx To reproduce the path model tested in MPLUS, run the input file “soccerpathmodel.inp” ensuring that the accompanying file - Soccerpathmodel.txt is located in the same folder.
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https://doi.org/10.17045/STHLMUNI.14980251

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Stockholms universitet