My study is on one peacekeeping mission that is how this mission is delivering its mandate effectively in terms conflict resolution and reconciling Divided peoples so I am asking my responts if this mission is doing well.
@@arhamsheikh3452 R square is the coefficient of determination and tells that how much independent variable explaining dependent variable. And Q square tells the predictive relevance of the model that should be above 0.
@@wajeehaaslam87 maam can we say this , Q sq tell us whether we continue this model for further study or not , because if the value is less than 0 , which means your model is no longer be acceptable ?
Pilot testing should be done on small data. That is the reason, we call it pilot testing. Before going on full-scale analysis, you must check the reliability of the questionnaire.
My study is on one peacekeeping mission that is how this mission is delivering its mandate effectively in terms conflict resolution and reconciling Divided peoples so I am asking my responts if this mission is doing well.
some examples and hints on interperation
for instance my first analyses of T- Test
Male Mean 58.72
female mean 113.2
T value 14.72 and P value is 0.0001.
I have three test here T- test, Anova test and Correlation
For correlation, watch this video ruclips.net/video/4O4HKaB2xfs/видео.html
maam can you tell me , what is the standard value of t stats if we have 0.1 significance value
1.64
@@wajeehaaslam87 maam what is the difference between R sq and Q sq ?
@@arhamsheikh3452 R square is the coefficient of determination and tells that how much independent variable explaining dependent variable. And Q square tells the predictive relevance of the model that should be above 0.
@@wajeehaaslam87 maam can we say this , Q sq tell us whether we continue this model for further study or not , because if the value is less than 0 , which means your model is no longer be acceptable ?
how can i do pilot testing of the questionnaire for big data
I have already posted a video of pilot testing. Please watch it
Pilot testing should be done on small data. That is the reason, we call it pilot testing. Before going on full-scale analysis, you must check the reliability of the questionnaire.