<h3>NEO FFI Scoring</h3>

<p>The test manual describes how to calculate raw scores for the NEO-FFI. If you have been asked to do an analysis of the NEO-FFI then you should be given access to relevant details in the test manual. If you don't have access, you may wish to contact your local psychology department. They will often have a test library with the NEO-FFI manual. Alternatively, you can contact a test distributor, although there are often educational requirements in order to be allowed to purchase such a manual.</p>

<p><a href="http://www.webpages.uidaho.edu/klocke/neo_scoring.htm" rel="nofollow">This website</a> seems to provide a web description of how to obtain raw scores for the NEO FFI. For norm referenced scores such as t-scores, presumably you would need access to norm tables supplied in the test manual. One exception would be where you are using your own sample norms as the distribution. In this case of t-scores, you would convert raw scores to z-scores and then multiply by 10 and then add 50. See for example this article on <a href="http://en.wikipedia.org/wiki/Standard_score" rel="nofollow">standard scores</a>.</p>

<h3>General scoring advice</h3>

<p>In general, when scoring psychological tests, the most common approach is to use a unit weighted sum or mean of items after item reversal. I have a <a href="http://jeromyanglim.blogspot.com.au/2009/10/calculating-scale-scores-for.html" rel="nofollow">post that describes this in more detail with reference to SPSS and R</a>. So, you simply need to know which items belong to which scales and which items need reversing. </p>

CC BY-SA 3.0
2014-07-06T08:41:28.483Z
2014-07-06T08:41:28.483Z
Jeromy Anglim
<p>I am a CS student who has to do an analysis on the NEO-FFI test. I have the results of the questionnaire, however, I couldn't find how to calculate <em>t</em>-scores or raw scores. There are lots of academic papers, but no one has the calculations in them. </p>

<p>There is an example from <a href="http://romania.testcentral.ro/media/neoffi-m-en-DW6CADC4.pdf" rel="nofollow">McCrae's paper</a>.
Like in this example, I have the answers, but can't calculate the scores.</p>

<personality><test><statistics>
NEO-FFI $t$-score calculation
Lala
# NEO-FFI $t$-score calculation

(Asked by: username_0 on 2014-07-03)

I am a CS student who has to do an analysis on the NEO-FFI test. I have the results of the questionnaire, however, I couldn't find how to calculate *t*-scores or raw scores. There are lots of academic papers, but no one has the calculations in them.

There is an example from [McCrae's paper](http://romania.testcentral.ro/media/neoffi-m-en-DW6CADC4.pdf).
Like in this example, I have the answers, but can't calculate the scores.

**Tags:** personality, test, statistics


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## 1 answers

### Answer by username_1 on 2014-07-06. Score: 2

### NEO FFI Scoring

The test manual describes how to calculate raw scores for the NEO-FFI. If you have been asked to do an analysis of the NEO-FFI then you should be given access to relevant details in the test manual. If you don't have access, you may wish to contact your local psychology department. They will often have a test library with the NEO-FFI manual. Alternatively, you can contact a test distributor, although there are often educational requirements in order to be allowed to purchase such a manual.

[This website](http://www.webpages.uidaho.edu/klocke/neo_scoring.htm) seems to provide a web description of how to obtain raw scores for the NEO FFI. For norm referenced scores such as t-scores, presumably you would need access to norm tables supplied in the test manual. One exception would be where you are using your own sample norms as the distribution. In this case of t-scores, you would convert raw scores to z-scores and then multiply by 10 and then add 50. See for example this article on [standard scores](http://en.wikipedia.org/wiki/Standard_score).

### General scoring advice

In general, when scoring psychological tests, the most common approach is to use a unit weighted sum or mean of items after item reversal. I have a [post that describes this in more detail with reference to SPSS and R](http://jeromyanglim.blogspot.com.au/2009/10/calculating-scale-scores-for.html). So, you simply need to know which items belong to which scales and which items need reversing.


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