Of course, the IQ score had a history of scoring that determined how the 
standardized IQ based on z-score would be calculated for the sake of 
consistency. When they converted from scores that were the result of dividing 
the Mental Age by the Chronological Age and multiplying by 100, it was 
desirable to continue to use 100 as the average score. Whereas it used to mean 
a Mental Age that matched the Chronological Age, it came to mean a score on the 
test that matched the average score for those in that age group. In any case, a 
raw z-score would be undesirable both for the fact that half of the population 
would have a negative IQ and the fact that an IQ of 2.00 or even 2.74 doesn't 
seem very impressive. Multiplying by 15 or 16 (which probably gave IQs somewhat 
equivalent to the old MA/CA x 100 system) and adding 100 to it, solved both 
problems.

Rick

Dr. Rick Froman, Chair
Division of Humanities and Social Sciences 
Professor of Psychology 
Box 3519
John Brown University 
2000 W. University Siloam Springs, AR  72761 
[email protected] 
(479) 524-7295
http://bit.ly/DrFroman 
"The LORD detests both Type I and Type II errors." Proverbs 17:15

-----Original Message-----
From: Mike Wiliams [mailto:[email protected]] 
Sent: Sunday, September 30, 2012 2:09 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re:[tips] Is p < .05 ?

Hello

This is presumably why we have invented standard scores expressed as whole 
integers, such as IQ, SAT, T-score and GRE rather than use the original Z 
score. It is much easier to conceptualize an IQ score of 117 rather than an IQ 
of 1.13. I once designed a clipboard with an imprint that included a conversion 
table. Since Z is never used, it only included IQ, T and %tiles:

http://brainmetric.com/clipboard4a.pdf

You might find it handy as a tool illustrating the relationship of statistics 
to clinical testing practice.

Mike Williams

>> I hate to say this, but thank you.
>>
>> I have often wondered why so many students would be baffled by the 
>> decision process. [if p<.05, reject the null hypothesis]. It seems so 
>> easy... but, if you are not comfortable with the numbers between 0.00 
>> and 1.00, then it is a real problem.
>>
>>


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