- Oct 1, 2008
- Reaction score
Does anyone have any recommendations for someone who's only ever done statistics with excel? Any other good reads on data mining and analytics would be great too.
I'm happy to introduce the Styleforum Happy Hour, our brand new podcast featuring lively discussion about menswear and the fashion industry. In the inaugural edition, a discussion of what's going on in retail today. Please check it out on the Journal. All episodes will be also be available soon on your favorite podcast platform.
STYLE. COMMUNITY. GREAT CLOTHING.
Bored of counting likes on social networks? At Styleforum, you’ll find rousing discussions that go beyond strings of emojis.
Click Here to join Styleforum's thousands of style enthusiasts today!
is there a reason you're looking to use SPSS over other statistical packages like STATA, SAS or R?
R is free, so you can use that to learn the basics of stats if you want.
I like SPSS quite a bit because of how easy it is to use. However, if you expect to do this for a living, learn SAS. The drug industry has latched onto SAS for some reason, so lots of SAS programming jobs are out there.
Depends, lot's of social science work and market research people use SPSS.
having used a number of different statistical packages, i just can't understand why people even use spss. it just doesn't do much, although it is the easiest to use; but maybe too easy to use. only advantage i can think of is that it is reasonably stronger in anova-related procedures than stata. but, spss doesn't have count, survival, or complex survey data procedures (at least when i last used it anyways, not sure if it has changed). imo, start with stata and be done with it, instead of learning spss and finding one day you'll have to learn stata. the learning curve for stata isn't that much steeper than spss. if you have the time, simultaneously learn sas which is best if you have complex data management needs. it's also the statistical package of choice in business and government. r is where the future is at and what most statisticians use these days. steepest learning curve. but if psych undergrads at my school are being taught it, there's no reason a person can't learn it quickly if he devotes the appropriate amount of time.