There was a data entry typo for the Risk Assessment Intensity (RAI) score of participant 14 in the citalopram condition in the OSF file named 'JORT drug study for JoN paper covariates.sav' in the OSF data repository referenced (https://osf.io/dgjt7/). The incorrect value -0.03705 has been corrected to 0.88617 in the OSF file named 'JORT drug study for JoN paper covariates corrected.sav'. This correction does not alter the significance level of the published drug effects on RAI. The main effect of drug remains significant F(2,56) = 3.92 (p = 0.025) as does the lorazepam vs placebo simple contrast F(1,28) = 4.68 (p = 0.039). The citalopram vs placebo simple contrast remains non-significant F(1,28) = 1.97 (p = 0.172).
The purpose of this eLetter is to provide anyone who is interested with a step by step guide for using SPSS reliably and repeatably to score Risk Assessment Intensity (RAI) in Perkins et al. 2009. The data and statistical resources for this study are located at the following OSF webpage: https://osf.io/dgjt7/
There are 30 raw data folders, one for each participant, each containing three JORT session folders. For example, the folder for participant 001, session 2 is named 001t2. Import the raw data DAT file for the session of interest into SPSS and save it on your computer as an SPSS data file with the same name. When importing make sure to set a dot as a data separator and choose the data format numeric for all variables (except for Subnum). Save a duplicate of that SPSS data file with ConflictA in the file name (i.e., 001t2ConflictA). Save another duplicate SPSS file with the name 001t2ConflictB. The A and B files are used to score Risk Assessment Intensity (RAI), as follows.
Open the SPSS syntax file labelled ‘Master syntax for new JORT’. Run the syntax commands from line 52 to line 59 with the SPSS data file 001t2ConflictA. Save the file. This will automatically delete cases outside the case range and velocity threshold shown in in the command lines. Hence the new SPSS file now contains only the behavioural responses in the ten RAI trials that were performed without threat of white noise. Run the syntax commands from l...
Show MoreThe purpose of this eLetter is to provide anyone who is interested with a step by step guide for using SPSS reliably and repeatably to score Risk Assessment Intensity (RAI) in Perkins et al. 2009. The data and statistical resources for this study are located at the following OSF webpage: https://osf.io/dgjt7/
There are 30 raw data folders, one for each participant, each containing three JORT session folders. For example, the folder for participant 001, session 2 is named 001t2. Import the raw data DAT file for the session of interest into SPSS and save it on your computer as an SPSS data file with the same name. When importing make sure to set a dot as a data separator and choose the data format numeric for all variables (except for Subnum). Save a duplicate of that SPSS data file with ConflictA in the file name (i.e., 001t2ConflictA). Save another duplicate SPSS file with the name 001t2ConflictB. The A and B files are used to score Risk Assessment Intensity (RAI), as follows.
Open the SPSS syntax file labelled ‘Master syntax for new JORT’. Run the syntax commands from line 52 to line 59 with the SPSS data file 001t2ConflictA. Save the file. This will automatically delete cases outside the case range and velocity threshold shown in in the command lines. Hence the new SPSS file now contains only the behavioural responses in the ten RAI trials that were performed without threat of white noise. Run the syntax commands from line 70 down to line 77 with the SPSS data file 001t2ConflictB. Save the file. This will automatically delete cases outside the case range and velocity threshold shown in the command lines. Hence the new SPSS file now contains only the behavioural responses in the ten RAI trials with threat of white noise. Run the syntax commands from line 61 to 63 with file 001t2ConflictA and note down the resulting standard deviation. Run the syntax commands shown in line 79 to 81 with file 001t2ConflictB and note down the resulting standard deviation.
Create a master SPSS file for your analysis and in it create a variable named T2confSDA. Enter the first SD you noted in the row for participant 001. Create a variable named T2confSDB. Enter the second SD into that variable column. Repeat this process for all participants and JORT testing sessions.
Open the SPSS file labelled ‘Key for JORT drug study by Perkins et al. 2009’. This file shows the randomisation order for each participant. Use this information to create variables in your SPSS master file with labels for each drug condition used in the study, into which the de-randomised SD values can be inserted. For example, as the randomisation code shows in session two, participant 001 received lorazepam, the SD for 001t2ConflictA is entered in the variable column labelled LorconfSDA and the SD for 001t2ConflictB is entered in the variable column labelled LorconfSDB. To compute RAI for the lorazepam condition, subtract LorconfSDA from LorconfSDB. Repeat this subtraction process for all drug conditions in the study and then use for any statistical analysis of interest.
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