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<tel: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<tel: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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