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REFERENCES (U)
1.
Zimbardo,
P., Psychology and Life,
12th Ed,,
Scott, Foresman and Company, Boston,
MA,
p. 54 (1988) UNCLASSIFIED.
2.
Rosenthal,
R., Meta-Analytic Procedures for Social Research
,
Applied
Social Research
Methods Series, Vol.
6, Sage Publications, Beverly
Hills, CA (1982) UNCLASSIFIED,
3.
Light,
R.
J.
and
D.
B.
Pillemer, Summing
Up,
The
Science of Reviewing Research,
Harvard University Press, Cambridge, MA (1984) UNCLASSIFIED.
4.
Hedges, L. V. and I. Olkin, Statistical Methods for Meta-Analysis, Academic Press, Inc.,
New York, NY (1985) UNCLASSIFIED.
5.
Feingold, A., “Matching for Attractiveness in Romantic Partners and Same-Sex Friends:
A Meta-Analysis and Theoretical Critique,” Psych,
Bull., Vol.
104, No.
2, pp. 226-235
(1988) UNCLASSIFIED.
6.
Cohen,
J.,
Statistical Power Analysis for the Behavioral Sciences,
(rev.
ed.) Academic
Press, New York, NY (1977) UNCLASSIFIED.
7.
Targ, E., R. Targ, and O. Lichtarge, “Realtime Clairvoyance: A Study of Remote Viewing
Without Feedback,” The Proceedings of the Parapsychological Association 28th Annual
Convention,
Tufts
University,
Medford,
MA,
pp.
335-342
(August
1985)
UNCLASSIFIED.
8.
Honorton,
C.,
D.
B.
Ferrari,
and
G.
Hansen,
“Meta-Analysis
of
Forced-Choice
Precognition
Experiments,”
Psychophysical
Research
Laboratories’
Technical
Report
(1989) UNCLASSIFIED.
9.
May,
E.
C.,
R. Targ, and H.
E.
Puthoff,
“Possible EEG Correlates to Remote
Stimuli
Under Conditions of Sensory Shielding,” Proceedings of Electro? 7 Professional Program
of the IEEE,
Special Session on the State of the Art in Psychic Research, New York
(April 1977) UNCLASSIFIED.
10.
May,
E.
C., W. W. Luke, and T.
J.
Frivold,
“Neurophysiological Correlates to Remote
Viewing (U),” SRI International, Menlo Park, CA,
Final Report— Objective D, Task
1,
Project 1291 (December 1988) SECRET.
11.
Private communication.
12.
Kogan,
I.
M.,
“Is Telepathy
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Radio Eng.,
Vol.
21,
P.
(January
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Puthoff,
H.
E,
and
R.
Targ, “A
Perceptual Channel
for
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Distances:
Historical
Perspective and Recent Research,”
Proceedings of the
IEEE, Vol.
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May,
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UNCLASSIFIED.
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pp.
103-116
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1975) UNCLASSIFIED.
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Appendix
CODING SHEETS AND INSTRUCTIONS FOR THE META-ANALYSIS
(This Appendix
is UNCLASSIFIED)
UNCLASSIFIED
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Page:
Coder I.D:
Date:
Form
I.D:
——
Data
Unit Name
Session
Viewer
Viewer within Condition
Trial
Experiment
O:
Unit I.D,
Viewer I.D.
I.D.
Experienced
Novice
Monitor I.D,
Start
Date
Date Duration
Start Time
Time Duration
Viewer Location
SRI
Home:
Client:
Field:
O:
Unit Information
Inten-
JlgnaJj;
Parameters That
Differ
Y N
Y N
Y~N
Y~N
Y N
Target Name
Targeting Method
Target Type
Target Distance (km)
Target Location
YJN
Y N
Y N
Y N
Y N
Y N
Target: When Selected
Shielding Type
Feedback Type
Feedback: When
Independent Variable #1
Independent Variable #2
Circle or write
in
all appropriate conditions
Beacon
Abstract
Coordinates
Prompting
Self
Unknown
O:
Ops
Real Site
Photograph
Alpha/Numeric
Person
Objects
O:
<
<50
< 5000
> 5000
Unknown
O:
Inside
Outside
Both
O:
Retrocognition
Real Time
Precognition
O:
Unknown
E&M Cage/Room
Water
SCIF
O:
None
Visual
Audio
Verbal
Intermediate
Site
Unknown
O:
Immediate
<5 min
<1 hr
<1 day
>1 day
Unknown
Condition:
Condition:
O:
|
Statistics
|
Data
# of Trials
Raw Score
Judgement Score
Z-Score
P-Value
Effect Size
Comments:
UNCLASSIFIED
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Page:
Coder I.D:
Date:
Form
I.D:
Data
Title
Authors
SRI Project Number
Document Number
Classification
Total Number of Paaes
Tvoe of Report
Final
Mid-year
Interim
Quarterly Progress
Monthly Progress
O:
Date of Publication
Rules for Meta-analysis Coding
Publication Information
Organization
1.
Use one Publication Information sheet for each publication.
2.
Use as few Experiment Information sheets as necessary.
3.
A Unit
is the smallest level at which the most basic hypothesis (usually psi versus no psi) was tested.
4.
Results for a hypothesis that cannot be reconstructed from the basic units should be coded as a separate
“experiment”.
The Type should be listed as O:
correlation .
5.
For an experiment, staple together all Unit Information sheets with the Experiment Information sheet on
top.
Clip together all experiment packets from the same publication.
Number all of the sheets consecu-
tively within a publication.
Cte.ns.ral;
1.
Circle
(or slash) the appropriate choice.
2.
Use
[
] around data to indicate a coder guess or calculation.
3.
If Other (O:) then specify.
Experiment Parameters. Known Target Parameters and Feedback
:
1.
Use publication date
if Experiment date
is unknown.
2.
Generally, independent variables are those manipulated by the experimenter.
However,
this space can
also be used for variables that differ unintentionally within an experiment.
See Rule #4 under “Unit In-
formation”.
3.
Example
;
LANL experiment
is coded as follows: Experiment Type:
RV-Lab:
Principal Hypothesis:
CNS responds to remote, external stimuli;
Independent Variable:
Timing of remote stimuli.
4.
Targeting Method: Prompting means a sound or gesture
(e.g., Gina’s bell).
5.
Shielding
is for viewer,
target, or both.
6.
Most feedback
is actually multi-mode.
Code the primary mode.
Visual Feedback:
Photograph
(e.g.,
National Geographic Magazine),
Audio Feedback:
Just a sound
(e.g.,
Bell from the teaching ma-
chine).
Verbal Feedback: Verbal debrief (e.g., You did well.
The target was
...).
Site Feedback:
Physical
visit to the target
site
(e.g., Outbound experiment).
Ba si c Analysi s
:
1.
Rank R = number of choices for ranking, including target and
all decoys.
2.
Analysis scale, n = maximum,
(e.g., 0 -> 4, n * 4).
3.
Judgment means a qualitative estimate
(e.g., by-gosh-by-golly)
;
1 = complete miss,
4 = complete hit.
4.
Statistic means z-score or F ratio,
etc.
1.
Unit Name
is “Session” for a single RV session, but “Trial” for a single forced choice.
In forced choice
experiments,
there are usually several trials in a single session.
2.
Unit I.D.
is blank most of the time.
Use Ops tag when appropriate.
3.
Viewer I.D.
is according to our most current
list.
Therefore,
if a known viewer was listed under an old
I.D., note the person’s name so the current I.D. can be entered in the data base.
4.
Parameters that differ should be filled in only for those cases where “differs” was circled on the Experi-
ment Sheet.
If the variable was intentionally manipulated,
circle Y.
P-value should be entered as -1
if
it
is unknown,
to avoid confusion with the default missing value code
of 0, which could be a legitimate P-value.
UNCLASSIFIED
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