Your are "Grande", literaly. In Italian it means "big, great". So you are "Great"! Thanks so much for your tutorials!
@syntax87594 жыл бұрын
why couldnt they have showed me this instead of going to class, this is soo clear!! THANK YOU!!
@osita.9825 күн бұрын
Dr. Grande!! I am a huge fan of your videos and I find it hilarious that I am current using SPSS in my psychology class and needed help then I saw your username on the video! I was like, "THEE DR. TODD GRANDE???" Awesome surprise! lol thanks!!
@smuhsmuh92962 жыл бұрын
thank you so much i spent like an hour trying to do this and only figured it out because of this video
@eline41889 ай бұрын
This was very clear and helpfull, thank you!
@mhfw5 жыл бұрын
Clear and useful video. Thank you.
@SGH-rt6ci4 жыл бұрын
Very useful video. I benefit from your knowledge. Thank you.
@denisachase6007 Жыл бұрын
You're the man.
@ΧρήστοςΣωζόπουλος2 жыл бұрын
It may sound ignorant but i'd like to point this out: When you have reversed questions in a given questionnaire (eg Personality factors / 5 likert-scale), you "recode into different variable" and the new (reversed) questions are next to the original ones. My question is, where do you score the participants' answers in the data view..under the non-reversed questions or the reversed ones? Also, why the reversed variables are categorised as nominal? (since they're Likert) Thank you in advance and wish you the best for the new year.
@BestAmazonReviews7235 жыл бұрын
DR can i get link to download all you videos please,they are such good and well simplified.brilliant
@plantastica46229 жыл бұрын
Dr. Grande. The biggest problem I have with computing variables and recoding them is the "why"? I find it difficult to mechanically follow a lesson without knowing why. Can you provide an answer?
@kyarapanula10028 жыл бұрын
Our class asked a similar question--Dr. Grande is great at explaining the actual application, but it would be great to have the video start with a more narrative example.
@McFlurryRolo6 жыл бұрын
You mirhgt want to convert numerical variables because you have a questionaire which contains one control-question which is inverted to the rest. So the answers respondents give to this question will probably be reversed numerical wise, for example if you use a 7 point Likert-scale. To conclude your numbers. The answers given here must be reversed so 7=1, 6=2, 5=3, 4=4, 3=5, 2=6, 1=7
@sharonckipchumba3 жыл бұрын
Good question.The reason for recoding, I recon it is easier to make conclusions with categorial data compared to continous data.Lets say for example if you measured blood pressure of 20 people in continous varibles e.g 140,120,145,150, 80 e.t.c if you categorised data such that 80-100 means " low BP", 1OO -150 mean" high BP" etc you can be able to know what percentage of participants had high or low blood pressure after presenting the frequencies of BP_categorised. I hope that gives some insights..that is just an example.
@advaitaveda5671Ай бұрын
Hey Dr. Grande. I'm trying to put different variables in the dataset as one variable with subgroups. Example: my data set has whites, Asians and natives as different variables but can I make them into one variable called Race where if I open the new variable I'm able to see these races as subgroups ?
@devalmontguy86978 жыл бұрын
Thank you for your great demonstration, dear Dr. Grande, It would greatly facilitate our learning process--and I would appreciate immensely--if you could share some sample files of both EXCEL and SPSS.
@larabfd15894 жыл бұрын
Hello,thank you, the video is very useful.But I couldn't type any number in the section of old values,I don't know how to fix this problem !Please can someone help me,Thanks in advance.
@gerald53896 ай бұрын
juu kiitti
@machoenederricksekgala65713 жыл бұрын
Thank you for the video. how to compute variable such as Metabolic syndrome, which consist of Elevated Waist circumference, low HLD, high triglyceride and High blood pressure.
@StevenPGonzalez6265 жыл бұрын
If I recode for Gender. 1=male 2=female... should I be able to view my data as the number and gender name by hitting that button at the top?
@maj99cats5 жыл бұрын
Super helpful! Thank you!
@II-sr6xn3 жыл бұрын
Are reverse scoring and recoding the same thing?
@alexgomes19312 жыл бұрын
Sir after doing that new variable is created in data view but nothing is showing in my output, sir please help me out as I have exam tomorrow
@annewambui685 жыл бұрын
It is possible to use this for string ordinal data lets say one gauging satisfaction levels
@aqsamunawar92082 жыл бұрын
any reference or research paper for this..because me apny anlysis me variable ki categories combine krna chahti hu..but mjy reference chye..plz ans me as soon as possible
@tarignassr66906 жыл бұрын
Thanks a lot Dr.
@DrGrande6 жыл бұрын
You’re welcome!
@desikusnul46624 жыл бұрын
Thanks, ur video help me
@trecords25 жыл бұрын
How to input String data type into new value if old one is number. It works in your example but mine now :S
@hoaithurose10 ай бұрын
thank you so much
@MelbourneMaster5 жыл бұрын
I cant write letters under value at 2:10 I can only write numbers?
@merveceylan50408 жыл бұрын
thank you very nice videos
@fadl.97315 жыл бұрын
Very good
@esthervandijk5658 жыл бұрын
Thanks, this was very useful
@wondermahembe17914 жыл бұрын
Yay, i did it!!!
@mirikiri07 Жыл бұрын
Your SPSS videos have helped me a great deal. Thank you! I have one additional question about this topic: Says i have a variable with values 1-12, but by some mistake it turns out that category/value 9 and 11 actually represent the same thing and now i want to merge them. Is this possible? If it was category 9 and 10 i could select range, and make 9 = 9thru10. But how can i merge 9 and 11 (and keep all other values the same)? I'm stumped.
@mirikiri07 Жыл бұрын
Hi, i figured out the answer to my own question, by trail and error and dumb luck. The solution is: In 'old value' put 9 and in 'new value' you also put 9. click add. Then in 'old value' put 11 and in 'new value' put 9. Now 9 and 11 are in the same category (coded as '9'). The syntax looks like (1=1) (2=2)etc (9=9) (11=9) (10=10) (12=12)