Awesome, you saved my life,,,I looked at numerous tutorials and none have been as thorough as yours! I appreciate your stating aloud everything that needs to be heard. Bravo!!!
Hmk! am having a phobia of numbers, the moment I just get encounter with maths, my mind used to switch off, but the way you have done it it suits me well! I just have to practice and do it more regularly! Thanks a lot
Hi everyone! can anyone help me with my case as follows: I recently did a training need assessment, now reached data analysis stage but unsure about a thing. Questionnaires have different topics for 4 different types of respondents (i.e. section A applies to respondent type A, section B applies to respondent type B and so on); only training topics are different; while other personal data and training methods apply to all 4 types of respondents. should I use different file (I use spss) to analyze data by type of respondents? If Yes, what should I do with other section for personal data and methods of training as they apply to all types of respondents? I hope to get advice from you. Thanks.
pls, how do i enter datas that contain both multiple response questions and normal questions? do i have to create there variable differently or what? although i have watched your tutorial on multiple response
Ordinal = ranked categories(=grouped), e.g. age group, strongly agree or disagree, severity of injury, yes/no(/unknown) if meaningful Nominal = unranked categories(=grouped), e.g. gender, marital status, yes/no(/unknown) if not meaningful Scale = not grouped numerical, e.g. age, height, weight, time, income [open response numerical questions] yes/no/unknown: • This cannot be answered without knowing exactly what 'unknown' means in your dataset. If 'unknown' refers to missing data, then it's likely best to replace them with 'NA' and analyse the variables as categorical (i.e. nominal). • But imagine that yes/no/unknown were the answers to a question about preference of object A vs. object B. In this case, 'unknown' could mean 'no preference' and if so, there would be a clear sequence: yes > unknown > no. The reverse (no > unknown > yes) is equivalent; the point is that 'unknown' is in the middle. In this situation, it would be reasonable to treat the variables as ordinal. credits to respective owners Just for referencing😃
Hi, i need a little help. I have a questionnaire with these type of question given as under. Please help me how to enter these type of questions. Q1. Have you ever encountered extremist situation when you felt scared? a. Yes b. No If your answer is “Yes” did you inform any law enforcement agency? a. Yes b. No If your answer is “Yes” who was your experience with law enforcement agency? a. Good b. Bad And If your answer is “No” then why you have not informed any law enforcement agency? a. I was afraid that I will be in more trouble. b. They will not take me seriously c. I don’t know how to contact any law enforcement agency. Thanks and waiting for help.
Awesome, you saved my life,,,I looked at numerous tutorials and none have been as thorough as yours! I appreciate your stating aloud everything that needs to be heard. Bravo!!!
this is so helpful. the best tutorial so far i have watched . thanks so much spss boss.
the best tutorial so far i have watched. subscribed
This video has helped me a lot and cleared the fog. Many thanks
Thank you for this! You explain very well, pace is not slow, I really like it! I agree - best tutorial so far.
Thank you sir i am a first time user of SPSS and you have simplified it for me. Much Obliged
Thanks so much it is really helpful, patiently waiting for the next tutorial
Hmk! am having a phobia of numbers, the moment I just get encounter with maths, my mind used to switch off, but the way you have done it it suits me well! I just have to practice and do it more regularly! Thanks a lot
SPSS made easy! Well done and thanks for simplifying how ti use this analytical tool.
this is very useful piece of tutorial....many thanks....keep well.
Thank you sooo much for your explanation. you made it so easy to understand. thank you
This video was extreMELY helpFUL. Thank you so very much
This video is the most practical video i have watched! Keep going the good ones
I am very so much happy for your video explanation
Thank you, I like it. Simple and understandable English.
Thanks you. I learn a lot of from your tutorial video ..
Thank you very much Sir for this edifying presentation
God bless you brother
You made it very simple and easy.
Very helpful
Ademola SPSS BOSS... Ose gidi gan! Emi naa ti mo ise yi dada nisin!
Very wonderful tutorial. Thanks alot
THANK YOU SO MUCH IT HELPED ME A LOT AND SO EASY TO UNDERSTAND
BEST VEDIO I HAVE WATCHED///////////////////
THANQ VERY MUCH
Very educative video
Thanks Buddy, i was given a bs assignment by the prof, with deadline crossed long ago, anyway, thank you!
this video is very understandable and helpful
Wow! I really Love this video, very easy to understand. Thanks a lot
Thank you for your tutorial and for making me understand fully using the SPSS. This is so helpful to me.
Thank you Sir....i found this very helpful.God bless you
Thank you. This has been very helpful. Thumbs up
that's help for newbies. great one
Very useful tutorial
Makes it quite easy....I however do think i need another practice session. Thank you
Quite interesting and informative.
thanks it was very helpful
U are so great, it is so helpful thank u
Great video, so helpful.
thank you! I love the way you explained
It is very useful for me to take up my project report. thanks :-)
Very helpful. Thanks a lot
THANK YOU FOR THIS VIDEO. BLESS YOUR SOUL.
Hi Kathleen. How can I get the SPSS ? I have tried to download...but in vain. thanks.
awesome video thanks a lot you really helped me
Thank you for providing this tutorial. I've used Minitab for years, and was a bit confused by SPSS layout.
Helped me a lot. ... thank you so much.
many thanks for this; very clear!
This video really helpful, thank you so much
Great Demola
Thank you for such a detailed video Sir!
Thanks great video very informative.
a very helpful video. good work !
Thank you, I learnt a lot of from this video.
this was most helpful ///////////////
thanq very much
pls upload vedio that how to analyze two way analysis -ANOVA IN SPSS
Thank you very much for the effort in explaining this
I did really enjoyed the tutorial
Thank you very much. It is very helpful
Please how input three replicate values for a concentration
Hi everyone! can anyone help me with my case as follows: I recently did a training need assessment, now reached data analysis stage but unsure about a thing. Questionnaires have different topics for 4 different types of respondents (i.e. section A applies to respondent type A, section B applies to respondent type B and so on); only training topics are different; while other personal data and training methods apply to all 4 types of respondents. should I use different file (I use spss) to analyze data by type of respondents? If Yes, what should I do with other section for personal data and methods of training as they apply to all types of respondents? I hope to get advice from you. Thanks.
hey what about data for 3 different conditions (group of sample population) and has 5 variance of behaviors??
Nice vdeo
Ade you rock! Thanks Boss
thank you its very helpful
pls, how do i enter datas that contain both multiple response questions and normal questions? do i have to create there variable differently or what? although i have watched your tutorial on multiple response
I have a question; what is i used an online survey? How will i be able to transfer the data?
Very helpful
this video helped me
Great Insight
Thanks alot 👍
THANK YOU VERY MUCH FOR THIS VIDIO
Please share the link to download the software for installation
what spss version is this?
this video is great but i want to know how to analyze a multiple response and questions with a single question and open questions
How to enter experimental data with replicates?
Ordinal = ranked categories(=grouped), e.g. age group, strongly agree or disagree, severity of injury, yes/no(/unknown) if meaningful
Nominal = unranked categories(=grouped), e.g. gender, marital status, yes/no(/unknown) if not meaningful
Scale = not grouped numerical, e.g. age, height, weight, time, income [open response numerical questions]
yes/no/unknown:
• This cannot be answered without knowing exactly what 'unknown' means in your dataset. If 'unknown' refers to missing data, then it's likely best to replace them with 'NA' and analyse the variables as categorical (i.e. nominal).
• But imagine that yes/no/unknown were the answers to a question about preference of object A vs. object B. In this case, 'unknown' could mean 'no preference' and if so, there would be a clear sequence: yes > unknown > no. The reverse (no > unknown > yes) is equivalent; the point is that 'unknown' is in the middle. In this situation, it would be reasonable to treat the variables as ordinal.
credits to respective owners
Just for referencing😃
how do you enter other data , like age, gender, education, ete?
The best!
Hi,
i need a little help. I have a questionnaire with these type of question given as under. Please help me how to enter these type of questions.
Q1. Have you ever encountered extremist situation when you felt scared?
a. Yes
b. No
If your answer is “Yes” did you inform any law enforcement agency?
a. Yes
b. No
If your answer is “Yes” who was your experience with law enforcement agency?
a. Good
b. Bad
And If your answer is “No” then why you have not informed any law enforcement agency?
a. I was afraid that I will be in more trouble.
b. They will not take me seriously
c. I don’t know how to contact any law enforcement agency.
Thanks and waiting for help.
Great
Thanks
This is awesome
how to entry data of (Alcohol, Smoking and Substance Involvement Screening tool ) Questionnaire
Pls can you be my personal tutor
So let say If the question is like ' Do you feel happy today?' Answer yes/No, So it is an ordinal data?
Thank you!!!
thank you sir
you saved me'
It is really fine lecturing, but you are too fast my lecturer.
It is really fine lecturing but you are to fast my lecturer.
You skip over way too much detail. Very poorly done.
YOU ARE GOING SO FAST NOT GOOD
Very helpful, thanks.
Very helpful
very very helpful