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Use the sample selection procedures - Data > Select Cases. You can specify an approximate or exact random sample or select specific cases.
 This edition applies to IBM® SPSS® Statistics 21 and to all subsequent releases . At its simplest, for a dataset with a sample size of N, you take B “bootstrap”
 Resampling is also known as Bootstrapping or Monte Carlo Estimation. In resampling, there is no specific sample size requirement. Resampling in SPSS.
 This edition applies to version 22, release 0, modification 0 of IBM® SPSS® At its simplest, for a dataset with a sample size of N, you take B "bootstrap"
 The smallest sample size was 20, and the largest sample size was 16,466. The bias-corrected bootstrap had the highest power of the tests, although it was
 I've used Preacher and Hayes (2008b) SPSS Macro for Multiple Mediation for a Is there a minimal sample size mediation bootstrapping?
 I have sample size 11 and want to have 1000 bootstrap replications of size 11. . APA style of simple moderation analysis done with SPSS's PROCESS macro?
 When using the bootstrap to estimate standard errors and to construct confidence intervals, the original sample size should be used. Consider a simple example
 At a certain point (i.e. 4000 samples) the spss engine crashes and the program stops. Is this related to the number of cores or CPUs or size of
 28 Jul 2014 It works when samples aren't “well behaved” or when sample sizes are . The first argument in RANDBETWEEN() is the smallest number you would ever about bootstrapping and bootstrapped confidence intervals in SPSS.
     
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