Re: [HCP-Users] NEO-FFI Agreeableness scoring

2018-03-12 Thread Nicola Toschi

Hi Jenn,

Thank you very much for the prompt response and for the help.

Nicola


On 03/09/2018 08:48 PM, Elam, Jennifer wrote:


Hi Nicola,

We have confirmed that item #59 was incorrectly forward coded in the 
NEO Agreeableness scoring when it should have been reverse coded. We 
traced this back to the UPenn CNP outputs that we received from UPenn. 
_The data currently in ConnectomeDB available for download still has 
this bug_. New NEO Agreeableness and NEO total scores will be replace 
the incorrect scoring with the upcoming 7T data release (likely to 
occur by the end of March).



However, if you'd like the corrected scores before the release, 
attached is the corrected item level data with a corrected NEO 
Agreeableness score (column HE) for each subject (you can calculate 
new NEO Total scores from the components yourself).  The erroneous 
scoring has a maximum effect of +/- 4 on both NEO.NEOFAC_A and NEO.NEO 
(Total of all components), depending on the subject's answer to item #59.



Best,

Jenn


Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
e...@wustl.edu<mailto:e...@wustl.edu>
www.humanconnectome.org<http://www.humanconnectome.org/>



*From:* Nicola Toschi <tos...@med.uniroma2.it>
*Sent:* Friday, March 9, 2018 11:39:48 AM
*To:* Elam, Jennifer; Josh Gray; hcp-users@humanconnectome.org
*Subject:* Re: [HCP-Users] NEO-FFI Agreeableness scoring
Hi Jenn,
Hi List,

I was wondering if this issue with the Agreeableness scoring had been 
a) confirmed and b) addressed in the current data available for download.


It would be great if you could post an update on this.

Thanks!!!

Nicola

On 10/04/2017 05:16 PM, Elam, Jennifer wrote:


Hi Josh,

After a couple of spot checks, it appears that you might have indeed 
found a bug in the NEO Agreeableness scoring. Thanks for posting the 
problem to the list.



We will pass the issue on to the developers and see if they can find 
the bug and correct their code for the scoring. The issue will be 
tracked on the Issues and Updates wiki 
<https://wiki.humanconnectome.org/display/PublicData/HCP+Data+Release+Updates%3A+Known+Issues+and+Planned+fixes> and 
if needed a fix will go out with the next release.



Thanks again,

Jenn


Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
e...@wustl.edu<mailto:e...@wustl.edu>
www.humanconnectome.org<http://www.humanconnectome.org/>



*From:* hcp-users-boun...@humanconnectome.org 
<mailto:hcp-users-boun...@humanconnectome.org> 
<hcp-users-boun...@humanconnectome.org> 
<mailto:hcp-users-boun...@humanconnectome.org> on behalf of Josh Gray 
<jgray7...@gmail.com> <mailto:jgray7...@gmail.com>

*Sent:* Wednesday, October 4, 2017 9:42:41 AM
*To:* hcp-users@humanconnectome.org 
<mailto:hcp-users@humanconnectome.org>

*Subject:* [HCP-Users] NEO-FFI Agreeableness scoring
Hello,

I believe that I may have found a bug in the total score of 
Agreeableness as it is presented in the HCP data. It appears that 
when I run syntax on the raw data (coding SD = 0, D = 1, N = 2, A = 
3, SA = 4) and then reverse code appropriate items and sum into 
subscales, all of the subscales line up with the total scores you 
have provided except for Agreeableness.


My conclusion is that #59 was not reverse coded when it should have 
been. I believe this is the case because when I remove the reverse 
coding I applied to #59, the Agreeableness scores line up. Also, when 
you do reverse code #59 it improves the cronbachs alpha.


Here are the items I sum together for agreeableness (* = reverse coded):
(4, 9*, 14*, 19, 24*, 29*, 34, 39*, 44*, 49. 54*, 59*).

Please let me know if this is unclear or seems incorrect.

Josh

--
Joshua C. Gray, PhD
Psychology Instructor
Center for Deployment Psychology
Work: (301) 816-4768
www.deploymentpsych.org <http://www.deploymentpsych.org>

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Re: [HCP-Users] NEO-FFI Agreeableness scoring

2018-03-09 Thread Julien Dubois
Dear Nicola

as far as I can tell, the bug is still present in the behavioral file
[unrestrictedcsv] (I just downloaded it and checked).

I have shared a simple Python jupyter notebook that you can use to correct
the bug.
https://github.com/adolphslab/HCP_MRI-behavior/blob/master/recomputeNEOFFIfactors.ipynb

- Julien

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Re: [HCP-Users] NEO-FFI Agreeableness scoring

2018-03-09 Thread Nicola Toschi

Hi Jenn,
Hi List,

I was wondering if this issue with the Agreeableness scoring had been a) 
confirmed and b) addressed in the current data available for download.


It would be great if you could post an update on this.

Thanks!!!

Nicola

On 10/04/2017 05:16 PM, Elam, Jennifer wrote:


Hi Josh,

After a couple of spot checks, it appears that you might have indeed 
found a bug in the NEO Agreeableness scoring. Thanks for posting the 
problem to the list.



We will pass the issue on to the developers and see if they can find 
the bug and correct their code for the scoring. The issue will be 
tracked on the Issues and Updates wiki 
<https://wiki.humanconnectome.org/display/PublicData/HCP+Data+Release+Updates%3A+Known+Issues+and+Planned+fixes> and 
if needed a fix will go out with the next release.



Thanks again,

Jenn


Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
e...@wustl.edu<mailto:e...@wustl.edu>
www.humanconnectome.org<http://www.humanconnectome.org/>



*From:* hcp-users-boun...@humanconnectome.org 
<hcp-users-boun...@humanconnectome.org> on behalf of Josh Gray 
<jgray7...@gmail.com>

*Sent:* Wednesday, October 4, 2017 9:42:41 AM
*To:* hcp-users@humanconnectome.org
*Subject:* [HCP-Users] NEO-FFI Agreeableness scoring
Hello,

I believe that I may have found a bug in the total score of 
Agreeableness as it is presented in the HCP data. It appears that when 
I run syntax on the raw data (coding SD = 0, D = 1, N = 2, A = 3, SA = 
4) and then reverse code appropriate items and sum into subscales, all 
of the subscales line up with the total scores you have provided 
except for Agreeableness.


My conclusion is that #59 was not reverse coded when it should have 
been. I believe this is the case because when I remove the reverse 
coding I applied to #59, the Agreeableness scores line up. Also, when 
you do reverse code #59 it improves the cronbachs alpha.


Here are the items I sum together for agreeableness (* = reverse coded):
(4, 9*, 14*, 19, 24*, 29*, 34, 39*, 44*, 49. 54*, 59*).

Please let me know if this is unclear or seems incorrect.

Josh

--
Joshua C. Gray, PhD
Psychology Instructor
Center for Deployment Psychology
Work: (301) 816-4768
www.deploymentpsych.org <http://www.deploymentpsych.org/>

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Re: [HCP-Users] NEO-FFI Agreeableness scoring

2017-10-04 Thread Elam, Jennifer
Hi Josh,

After a couple of spot checks, it appears that you might have indeed found a 
bug in the NEO Agreeableness scoring. Thanks for posting the problem to the 
list.


We will pass the issue on to the developers and see if they can find the bug 
and correct their code for the scoring. The issue will be tracked on the Issues 
and Updates 
wiki<https://wiki.humanconnectome.org/display/PublicData/HCP+Data+Release+Updates%3A+Known+Issues+and+Planned+fixes>
 and if needed a fix will go out with the next release.


Thanks again,

Jenn

Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
e...@wustl.edu<mailto:e...@wustl.edu>
www.humanconnectome.org<http://www.humanconnectome.org/>



From: hcp-users-boun...@humanconnectome.org 
<hcp-users-boun...@humanconnectome.org> on behalf of Josh Gray 
<jgray7...@gmail.com>
Sent: Wednesday, October 4, 2017 9:42:41 AM
To: hcp-users@humanconnectome.org
Subject: [HCP-Users] NEO-FFI Agreeableness scoring

Hello,

I believe that I may have found a bug in the total score of Agreeableness as it 
is presented in the HCP data. It appears that when I run syntax on the raw data 
(coding SD = 0, D = 1, N = 2, A = 3, SA = 4) and then reverse code appropriate 
items and sum into subscales, all of the subscales line up with the total 
scores you have provided except for Agreeableness.

My conclusion is that #59 was not reverse coded when it should have been. I 
believe this is the case because when I remove the reverse coding I applied to 
#59, the Agreeableness scores line up. Also, when you do reverse code #59 it 
improves the cronbachs alpha.

Here are the items I sum together for agreeableness (* = reverse coded):
(4, 9*, 14*, 19, 24*, 29*, 34, 39*, 44*, 49. 54*, 59*).

Please let me know if this is unclear or seems incorrect.

Josh

--
Joshua C. Gray, PhD
Psychology Instructor
Center for Deployment Psychology
Work: (301) 816-4768
www.deploymentpsych.org<http://www.deploymentpsych.org/>

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[HCP-Users] NEO-FFI Agreeableness scoring

2017-10-04 Thread Josh Gray
Hello,

I believe that I may have found a bug in the total score of Agreeableness
as it is presented in the HCP data. It appears that when I run syntax on
the raw data (coding SD = 0, D = 1, N = 2, A = 3, SA = 4) and then reverse
code appropriate items and sum into subscales, all of the subscales line up
with the total scores you have provided except for Agreeableness.

My conclusion is that #59 was not reverse coded when it should have been. I
believe this is the case because when I remove the reverse coding I applied
to #59, the Agreeableness scores line up. Also, when you do reverse code
#59 it improves the cronbachs alpha.

Here are the items I sum together for agreeableness (* = reverse coded):
(4, 9*, 14*, 19, 24*, 29*, 34, 39*, 44*, 49. 54*, 59*).

Please let me know if this is unclear or seems incorrect.

Josh

-- 
Joshua C. Gray, PhD
Psychology Instructor
Center for Deployment Psychology
Work: (301) 816-4768
www.deploymentpsych.org

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