Questions in topic: "#data"
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The latest questions for the topic "#data"No refine option in Data Refinery
https://developer.ibm.com/answers/questions/437258/no-refine-option-in-data-refinery.html
In IBM data refinery I am not getting option for refine after connecting with data source. @Ravirefine#dataFri, 16 Mar 2018 16:15:31 GMTRavi BhalalaPROCESS deleting 70 cases due to missing data but there is no missing data! Can anyone pls help? I have run descriptives on all var.
https://developer.ibm.com/answers/questions/405889/process-deleting-70-cases-due-to-missing-data-but.html
If you scroll down you will see the message. I have run various variables thru moderation and mediation & yet still get this 70 cases deleted
Run MATRIX procedure:
**************** PROCESS Procedure for SPSS Release 2.041 ****************
Written by Andrew F. Hayes, Ph.D. http://www.afhayes.com
**************************************************************************
Model = 4
Y = dassonly
X = neuroonl
M = mindonly
Sample size
77
**************************************************************************
Outcome: mindonly
Model Summary
R R-sq F df1 df2 p
.6518 .4249 54.8280 1.0000 75.0000 .0000
Model
coeff se t p LLCI ULCI
constant 4.9995 .1969 25.3951 .0000 4.6074 5.3917
neuroonl -.5028 .0679 -7.4046 .0000 -.6380 -.3675
**************************************************************************
Outcome: dassonly
Model Summary
R R-sq F df1 df2 p
.3655 .1336 4.6559 2.0000 74.0000 .0125
Model
coeff se t p LLCI ULCI
constant 1.7960 .8171 2.1982 .0311 .1680 3.4241
mindonly -.1541 .1609 -.9572 .3416 -.4747 .1666
neuroonl .1555 .1031 1.5094 .1355 -.0498 .3609
******************** DIRECT AND INDIRECT EFFECTS *************************
Direct effect of X on Y
Effect SE t p LLCI ULCI
.1555 .1031 1.5094 .1355 -.0498 .3609
Indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
mindonly .0775 .0792 -.0711 .2424
Partially standardized indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
mindonly .1368 .1368 -.1357 .3967
Completely standardized indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
mindonly .1133 .1131 -.1038 .3414
Ratio of indirect to total effect of X on Y
Effect Boot SE BootLLCI BootULCI
mindonly .3324 2.1571 -.3824 1.2753
Ratio of indirect to direct effect of X on Y
Effect Boot SE BootLLCI BootULCI
mindonly .4979 129.5562 -3.7531 17.1125
R-squared mediation effect size (R-sq_med)
Effect Boot SE BootLLCI BootULCI
mindonly .0864 .0568 .0028 .2265
Preacher and Kelley (2011) Kappa-squared
Effect Boot SE BootLLCI BootULCI
mindonly .0914 .0734 .0027 .2509
******************** ANALYSIS NOTES AND WARNINGS *************************
Number of bootstrap samples for bias corrected bootstrap confidence intervals:
2000
Level of confidence for all confidence intervals in output:
95.00
NOTE: Some cases were deleted due to missing data. The number of such cases was:
70
NOTE: All standard errors for continuous outcome models are based on the HC3 estimator
------ END MATRIX -----process#dataTue, 10 Oct 2017 00:16:52 GMTSara92