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June 23, 1969

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Dr. Peter Kallaway

Baylor College of Medicine
Houston, Texas
Dear

Peter,.31unv vtexsonkl

I have read and re~rssd the article. "EEG and Hypnotic
Susceptibility"; and when my recommendations appeared imprecise, I
shared the report with my associates. Our conclusions are mixed, although
the recommendation is specific.
.W.V

ﬂirt? ts”

v133errmmect

is a

good one, and the problem important.

desire to relate a behavioral variable (hypnotic suggestihility)
with a quantified set of EEG variables is coeesndabls. hath measures.
that of behavior and EEQ are well selected, and seeaingly are the
most efficient available.
\lv
The

Negative: The attempt to relate an attitudinal variable
with EEG measures collected at disparate points in time has been
unenccessful in most studies; and when a relationship is reported,
it is usually not sustained in later studies. The best relationships
are those measured in close temporal relations-- the closer the better.
so

of

that errors

64 spa

due

The sampling rate is low: the filtering inadequate,
to aliasing are highly probable. (A sampling rate

leads to folding of

60 cps

in 3-5cps).

The Grass 3 dB

contribute to this difficulty and especially if the authors are
not aware that many Grass instruments bypass the filters for the
tape outputs. This should be enquired into in their system.

filters

Sample sizes are very small, and the use of means
spurious. What variability measures were used? Were split samples
(#5 vs £5. or 30vs30v930) assessed to insure that the variability of
these very small samples was not excessive ?

may be

Five significant measures of 96 (at a minimum) or
of 600 (at a maximum) are not impressive. Especially if they are
derived statistically and not from any theoretic point of view.
The absence

of a priori hypotheses degrades

studies, and I regret the authors did not choose to make their ideas
clear and test them. The statistical approach to science is very unsat~
isfactory.

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              <text>Special Collections and University Archives, University Libraries. Stony Brook University Libraries (State University of New York).</text>
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