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Prospectus for Data Analysis
Five percent of your lab grade is based upon this "prospectus."
You will submit two SPSS files (one hardcopy and one via computer) to
fulfull this requirement.
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Via computer, submit a copy of your data file containing every variable
your study would generate.
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Don't just put in the sum total of a survey, enter the individual questions
and have SPSS do the necessary recodes and calculations. If you don't
actually have access to the psychological instrument you're using, that's
ok, just make a best guess regarding the number and nature of the items
and put them in your data set.
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Variable and Value Labels should be added where appropriate to aid
in the interpretation of the data set. When there are long strings
of variables (say a 200 item questionnaire) it is only necessary to provide
detailed labels for the first entry.
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Submit a hard copy of your syntax file containing every statistical
procedure needed to calculate/refine your variables as well as all the
descriptive and inferential statistics any professional in the field would
need to fully analyse and publish this piece of research. Profesionals are also normally inquisitive and would look at rational analyses that their data provide them with even if these analyses are NOT part of their main hypotheses. I believe
your life will be simplified if you use comments liberally throughout the syntax
file. You may also add written comments.
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Ask yourself--what would the APA Manual want to be extracted from this
data set?
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Don't make me figure anything out--explain what everything is for.
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Please circle all comments, so they're easy to see.
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Don't write in red--that's my color:)
I've appended a syntax file of mine, that you've seen before, to remind
you of how comments can be used:
Comment Comments in syntax files can be
very useful. Begin a Comment with
"Comment." (without the ".")
Indenting each line, as I do, is a nice
visual touch to make comments
easy to read. The Comment will continue until
you enter a blank line.
I have a feeling that a period at the end of
the comment is a good, but
maybe not necessary, idea. WARNING, a
period at the end of any line
in a Comment ends the Comment and any
lines that follow won't be
recognized as a Comment.
Comment WARNING--WARNING
Run this syntax file only
once on your data set. The factor analysis I've
put in will keep generating
duplicate strings of new variables every time
it is run--annoying, but true.
Put any syntax entries that you may
have in a separate file.
Comment This extracts our questions 1-10.
do repeat x = q1 to q10/y = q26 to q35/z = our1
to our10.
IF (ourquest = 1) z = x .
if (ourquest = 2) z = y.
end repeat.
Comment This extracts their questions 1-25.
do repeat x = q1 to q25/y = q11 to q35/z = their1
to their25.
IF (ourquest = 1) z = y.
if (ourquest = 2) z = x.
end repeat.
EXECUTE .
Comment This recodes into the same variables
(horrors)--This is OK here, trust me,
because the vaviables are
dynamically created by the do repeats above--
the dynamic creation means
that even if you run this syntax file multiple times,
the recoded variables will
always be correct. The recode reverses responses
on negatively worded items.
RECODE
our1 our5 our6 our8 our9 our10 their2 their4
their6 their8 their10
their12 their14 their16 their18 their20 their22
their24
their25 (1=5)(2=4)(3=3)(4=2)(5=1).
EXECUTE.
Comment The factor scores for the paranormal
(their) survey will be
easy to calculate, each will
simply be the mean of the items that
the authors of the survey
we used said constitute each factor. The
names of the variables give
an indication of what each score
relates to. Take a look
at the relevant survey questions to
flesh out the concept. (Note
if you visited this page before
and ran the factor analysis
that was here earlier in the break,
that's legal too, not to worry).
We also calculated a total paranormal score
to play with.
compute relig = mean(their1 to their4).
compute psi = mean(their5 to their8).
compute witch = mean(their9 to their12).
compute supers = mean(their13 to their15).
compute spirit = mean(their16 to their19).
compute monster = mean(their20 to their22).
compute precog = mean(their23 to their25).
compute totpara = mean(their1 to their25).
execute.
Comment This factor analysis
creates 3 factor scores on our survey
regarding attitudes regarding
rules and laws. The terms in
parentheses are what the factors
will be called in your data
set. For example fac1_1 would
be the first factor score in the
first (only) factor analysis
in your program (in this case
our survey on rules and laws).
Comment Roughly, the factors mean the following:
1 (fac1_1) Deals with
fear of being caught for a transgression
2 (fac2_1) Deals with
general attitudes about rules and laws
3 (fac3_1) Deals with
attitudes about specific rules and laws.
FACTOR
/VARIABLES our1 to our10
/PRINT INITIAL EXTRACTION ROTATION
/PLOT EIGEN
/CRITERIA factors(3) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/SAVE REG(ALL)
/METHOD=CORRELATION .
**Comment--this calculates an overal score for
our items.
compute totallaw=mean(our1 to our10).
execute.
***Comment--don't worry about what this does--trust
me, you should do it.
recode write_lt to box_rt (missing =0).
execute.
***Comment--this calculates a left and right hand
score and then integrates them into an overall
Edinburgh Score.
compute left= (write_lt+draw_lt+throw_lt+sciss_lt+knife_lt+tooth_lt+spoon_lt+broom_lt+match_lt+box_lt)*(-1).
compute right= (write_rt+draw_rt+throw_rt+sciss_rt+knife_rt+tooth_rt+spoon_rt+broom_rt+match_rt+box_rt)*(1).
compute handed=left + right.
***Comment--Finally, this extracts the birth month
from the birth date and puts it into a new variable.
compute monthnum=xdate.month(birthday).
execute.
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