SCRAED SIMPLE AND COMPLEX RANDOM ASSIGNMENT IN EXPERIMENTAL DESIGNS |
Valentim Rodrigues Alferes, University of Coimbra (Portugal), 2009 |
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Last
Modified: NOV-09-2009 SCRAED is a package of 37
self-contained SPSS syntax files that performs simple and complex random
assignment in experimental designs. |
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For between-subjects designs, SCRAED includes simple random
assignment (no restrictions, forced equal sizes, forced unequal sizes, and
unequal probabilities), block random assignment (simple and generalized
blocks), and stratified random assignment (no restrictions, forced equal
sizes, forced unequal sizes, and unequal probabilities). For within-subjects or
repeated measures designs, SCRAED
includes complete counterbalancing, partial counterbalancing (Latin squares),
carryover designs (single and double), truncated counterbalancing, and random
ordering of treatments. SCRAED also includes complete documentation
and several randomization tools (e.g., syntaxes for generating tables of
random numbers or random permutations of n
integers), namely ChooseRMD.sps,
an SPSS syntax file for choosing a convenient repeated measures design and
the correspondent SCRAED subprogram. You can run the syntaxes from
this web site, provided you have SPSS installed in your computer.
Alternatively, you can download a compressed file containing all programs and
documentation. DOWNLOAD
ALL PROGRAMS AND DOCUMENTATION [Compressed File 940KB] |
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Simple Random Assignment |
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SimpleRand1.sps
Equal probabilities |
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SimpleRand2.sps
Forced equal sizes |
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SimpleRand3.sps
Forced unequal sizes |
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SimpleRand4.sps
Unequal probabilities |
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Block Random Assignment |
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BlockRand.sps
Simple and generalized block designs |
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Stratified Random Assignment |
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StrataRand1.sps
No restrictions |
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StrataRand2.sps
Forced equal sizes |
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StrataRand3.sps
Forced unequal sizes |
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StrataRand4.sps
Unequal probabilities |
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WITHIN-SUBJECTS
DESIGNS (Repeated Measures Designs) |
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ChooseRMD.sps
Choosing a convenient repeated measures design and an SCRAED program |
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Complete Counterbalancing |
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CC2.sps
2 treatments /2 sequences |
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CC3.sps
3 treatments /6 sequences |
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CC4.sps
4 treatments /24 sequences |
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CC5.sps
5 treatments /120 sequences |
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CC6.sps
6 treatments /720 sequences |
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Partial
Counterbalancing (Latin Squares) See Standard Latin Squares |
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LS2.sps
2 treatments /2 sequences (Identical to CC2 [n per seq.=1] ) |
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LS3.sps
3 treatments /3 sequences |
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LS4.sps
4 treatments /4 sequences |
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LS5.sps
5 treatments /5 sequences |
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LS6.sps
6 treatments /6 sequences |
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LS7.sps
7 treatments /7 sequences |
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LS8.sps
8 treatments /8 sequences |
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LS9.sps
9 treatments /9 sequences |
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LS10.sps
10 treatments /10 sequences |
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LS11.sps
11 treatments /11 sequences |
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LS12.sps
12 treatments /12 sequences |
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CO2.sps
2 treatments /2 sequences (Single carryover design: Identical to CC2 [n per seq.=1] and LS2) |
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CO3.sps
3 treatments /6 sequences (Double carryover design: Identical to CC3 [n per seq.=1]) |
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CO4.sps
4 treatments /4 sequences (Single carryover design) |
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CO5.sps
5 treatments /10 sequences (Double carryover design) |
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CO6.sps
6 treatments /6 sequences (Single carryover design) |
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CO7.sps
7 treatments /14 sequences (Double carryover design) |
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CO8.sps
8 treatments /8 sequences (Single carryover design) |
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CO9.sps
9 treatments /18 sequences (Double carryover design) |
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CO10.sps
10 treatments /10 sequences (Single carryover design) |
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CO11.sps
11 treatments /22 sequences (Double carryover design) |
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CO12.sps
12 treatments /12 sequences (Single carryover design) |
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Truncated
Counterbalancing and Random Ordering of Treatments |
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RANDOMIZATION
TOOLS |
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TableRN.sps Generating a table of random
numbers |
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PerInt.sps
Generating a random permutation of n
integers |
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PerObj.sps
Generating a random permutation of n
objects |
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Buzz phrase generators: BuzzClassic.sps BuzzEconomy.sps BuzzHealth.sps |
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REFERENCES |
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Alferes, V. R. (1997). Investigaηγo cientνfica em psicologia:
Teoria e prαtica [Scientific research
in psychology: Theory and practice]. APA
Publications and Communications Board Working Group on Journal Article
Reporting Standards. (2008). Reporting standards for research in psychology:
Why do we need them? What might they be? American
Psychologist, 63, 839-851. doi:
10.1037/0003-066X.63.9.839 Cochran,
W. G., & Cox, G. M. (1957). Experimental
designs (2nd ed.). Kiess,
H. O., & Bloomquist, D. W. (1985). Psychological research methods: A
conceptual approach. Kirk, R. E.
(1995). Experimental design: Procedures
for the behavioral sciences (3rd ed.). Maxweel, S.
E., & Delaney, H. D. (2004). Designing
experiments and analysing data (2nd ed.). Neter, J.,
Wasserman, W., & Kutner, M. H. (1985). Applied linear statistical models: Regression, analysis of variance
and experimental designs (2nd ed.). Shadish, W. R., CooK, T.
D., & Campbell, D. T. (2002). Experimental
and quasi-experimental designs for generalized causal inference. Winer, B. J.,
Brown, D. R., & Michels, K. M. (1991). Statistical principles in experimental design (3rd ed.). |
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Suggested Citation |
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Generic Alferes, V. R. (2009). SCRAED: Simple and
complex random assignment in experimental designs [SPSS Syntax Files].
Retrieved from /niips/spss_prc/scra/scra.htm Specific program (example: StrataRand2.sps
Forced equal sizes) Alferes, V. R. (2009). Simple and complex
random assignment in experimental designs:
StrataRand2.sps
Stratified random assignment [SPSS Syntax File]. Retrieved from /niips/spss_prc/scra/scra.htm |
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