Most probably, second condition should be opted. It will b easy for calculating further.
Regards
@@
--
You received this message because you are subscribed to the Google Groups "DataAnalysis" group.
To unsubscribe from this group and stop receiving emails from it, send an email to dataanalysistrai...@googlegroups.com.
To post to this group, send email to dataanalys...@googlegroups.com.
Visit this group at http://groups.google.com/group/dataanalysistraining.
For more options, visit https://groups.google.com/d/optout.
But sir the categories like age or income although we took as young, adolescent etc...further we will have to define up to which age limit we categorised as young. For eg. 0-10: child, 10-20 teenager etc. The doubt is whether we should take like 0-10, 10-20 or like 0-10, 11-20. Every time this doubt happen to me also.
i also agree with you lavina ji. because sometimes our respondents are layman i.e. belonging to each category. we have to come to their level.
i think second option is more appropriate.
Neeraj sir is absolutely correct, but demographics like age can be collected in an exact number and later on according to the need can be catogorised.
Why to make catogories prior to the need, u learn a lot on d topic as d tym passes and develop new theories related to it. Respondents to every study varies, if ur respondent is a layman then one should definitely avoid demographics dat r nt required and design d questionnaire accordingly...
Thnx sir,
You plz keep on inspiring, I will try my best to contribute more...
You received this message because you are subscribed to a topic in the Google Groups "DataAnalysis" group.
To unsubscribe from this topic, visit https://groups.google.com/d/topic/dataanalysistraining/IA7FSTc1BoA/unsubscribe.
To unsubscribe from this group and all its topics, send an email to dataanalysistrai...@googlegroups.com.
Agreed Dear Neeraj Sir n Rachin Sir.
Regards
@@