SPSS: How to Analyse and Interpret LIKERT-SCALE Questionnaire Using SPSS

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Информация о SPSS: How to Analyse and Interpret LIKERT-SCALE Questionnaire Using SPSS

Название	:	SPSS: How to Analyse and Interpret LIKERT-SCALE Questionnaire Using SPSS
Продолжительность	:	31.03
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hi sir, thank you for the effortsbri have a questionnaire with 4 dimensions, every D countains 4 questions (Yes, No), so i want to make a chi square between D1 and D2, how to combine the data of the for questions for each D ? brthanks for help
Comment from : Soufiane Benraji

Legend
Comment from : chriskz

There was a mistake when putting in the values in variable view '1' is meant to be 'strongly disagree' but in the video '1' and '5' are both 'strongly agree' Does this error affect the analysis and results?
Comment from : Didi Ninaj

10Q sir very usefull!
Comment from : Geremachew Meaza

likert scale are named correctly You have 1 for Strongly Agree and 5 for the same label!!!!!
Comment from : Nqobile Muleya

Thank you but how can we make all question in one table for mean and standard divation only
Comment from : ot7 Bangtan

Hi, here you used EP (but in scale form) as the dependent variable My dependend variable are in levels (low, moderate, high) How shall i do it
Comment from : Nesa Latha

Thank you sir
Comment from : Clement Sunday

Do you have the same video, but this time on how to use spearman correlation instead of ordinal regression?
Comment from : Nesa Latha

Doctor Please help me with your phone number
Comment from : Mazagane Technology Base Channel

Thanks Please can you do a video on determine significance (Pvalue) for Chi-square test?
Comment from : Aaron Ayuba

Despite this video being 2 years old, its making me Earn, thanks bro
Comment from : SilentWoods

thanks sir
Comment from : Dach Atlaw

Hello @obezip Academy, thanks for this video, my question is how do you get the intercept for the developed modelI want to write down the equation with all the parameter estimates Thanks
Comment from : Kasule Alex

Very good explanation, thank you so much!!!
Comment from : Meditation & Health

Thank you so much sir I more than appreciate
Comment from : ifeoma ezembamalu

Interesting I enjoyed it
Comment from : Ijeoma Ezeh

Whats your contact Details?
Comment from : oludipe737

Thank you very much for your interesting lecture
Comment from : Megbaru Tesfaw Molla

Your presentation made this look so simple Thanks alot
Comment from : malachy chijioke

Why using MEAN if the data is ordinal?
Comment from : Random Quotes and Feelings

Dr Eze, you are good Thanks alot
Comment from : Victor Ezebuiro

Thank you very much for this gem I wish you could have online consultation programs to help with analyzing/interpreting the results
Comment from : Golden Gilmaky

Thank You! Please add subtitles in the settings
Comment from : TG

Very interesting
Comment from : Tsegaye Wedajo

Thank you So very helpful
Comment from : Asma

I just wanna say thank you so much man, this video helped me a lot in my research
Comment from : Moulaye Idriss

Thank you Sir can I have the excel sheet to try the example by myself
Comment from : Gasana Jonathan

IF THE NORMALITY TEST ONE IS LESS THAN 005 (003) AND THE OTHER ONE GREATER THAN 005 (255) SHAPIRO BUT WANT TO KNOW SHOULD I USE ORDINAL OR LINEAR
Comment from : David Medulla

Thank you so very much Dr Obumneke Ezie! Is there a chance to read the PowerPoint presentation, I keep going back and forth as you do an amazing job, yet my brain operates a bit slow
Comment from : Jason Miller

thank you
Comment from : Thabang Tlou

Thank you very much for this wonderful Data Analysis lesson U surely hit it straight
Comment from : Abdulkareem Ojonimi

Your video is extremely beneficial, please also include how to do moderator and mediation analysis with nonparametric data and likert scale
Comment from : syd7790

Your demonstration is clear and straightforward However, your response variable is no longer ordinal (since you use the MEAN_RESPONSE) Would you not consider using the MODE_RESPONSE in this case?
Comment from : Thabo Lephoto

You are the best! Thank you! I am wondering if I have 5 dimensions on my survey and I also had a stand-alone globle satisfaction scale as my DV Do I need to log my global satisfaction scale when using the other five dimensions which were log10? Thanks again
Comment from : Guangxia Meng

can the same be done for qualitative data? brFor eg the qualitative question is also under the category of EP brThat means I find the mean with the quantitative and qualitative data
Comment from : Sim J Xin

superboo man love
Comment from : Awesomooo

Finally someone explains it Thank you!!
Comment from : Paul Lionel Lee Gim Hoe

Thanks
Comment from : Software Trainings

Very good stuff You've been a great help to me as I'm beginning my Likert Scale analysis for my EMBA
Comment from : Oliver Patrick

Thank you very much brPlease my dependent variable has only one question, how do I deal with that ?brThank you for your response
Comment from : Tetteh Ernest

YOU, MY FRIEND ARE A LEGEND! Thanks for saving my BBA thesis!
Comment from : Arwien Bhagwandas

Thank you for the explaination, however I do have a question When you compute your likert scales that are ordinal variables won't you transform them into intervals? making them not ordinal anymore or should I look at it differenly? Secondly, when I try to do the second part, it tells me that it is not the right analysis for my variables However, this changes when compute the median of the scales, this sadly makes my test of parrallel significant
Comment from : Francesca Waegemans

Thank you so much Obezip, you saved my Masters research project
Comment from : Dwaipayan Sinha

How can I interpret 1: strongly disagree, 2: disagree, 3: somewhat disagree, 4: somewhat agree, 5: agree, 6: strongly agree please? I didn't find any reference
Comment from : wanderlust wernweh

Hello, I sent an Email concerning statistical consultation with you Kindly respond🙏🏾
Comment from : Nancy Jane Kariuki

Hello, what kind of analysis is suitable for longitudinal Likert scale datasets?
Comment from : Nancy Jane Kariuki

Can you kindly assist with the references of resources used in the video for further reading?
Comment from : Nancy Jane Kariuki

Well done
Comment from : Livinus Maimako

Thank you, Sir! You made my day easier
Comment from : abdulrazaq Ali

May I know what should I do if the sig of test of parallel lines appears to be 0000? -Thanks!
Comment from : jackie wong

thank you Sir
Comment from : Ayeah Calvin

Thanks for this in-depth explanation
Comment from : Akubo David

Sir, kindly explain Structural Equation Modelling also in the same way from basicsit will be very helpful for us
Comment from : Rashika Kumari

You have really helped me in my data analysis "As we can see there"
Comment from : Kelvin Mutuma

I'm confused about Likert scales which don't have labels beyond the first point ('least' or 'not at all') and the last point ('most' or 'a great deal') How do I work with such in SPSS in which every point needs to be defined?
Comment from : rias

This was so so helpful you are a starbr am here sited in my leaving room analyzing my own data
Comment from : Norah Mpundu

surely use of median values is more accurate than mean as its ordinal data therefore cannot gauge how much distance between a strongly and agree is?
Comment from : Charlie King

How do we interpret the control variables in OLR models? DO you have any recommendations? Please suggest Thank you
Comment from : Rabita Reshmeen Banee

Is it qualitative or quantitative research,dear brother??
Comment from : ហៀង សំណាង17

Do you not need to test for validity prior to computing the mean scores?
Comment from : MsEmzRox

Thanks Doc a lot!!!
Comment from : meseret abye

Thank you very much
Comment from : IGWEGBE MATHS MEDIA

Hello Sir,brThank you for your video presentation on SPSSbrHowever I am stuck in the beginning part of the analysis: Sig value of Shapiro Wilk: Test of NormalitybrLike your data I also have 3 factors: LM, LEX and LENbrfor the first time: LM and LEX has p>005 but for LEN p<005brsecond time with log: LM has p<005 but LEX and LEN has p>005brbrWhich one shall I choose to analyze? Do I have to make separate analysis for each: Nominal and Ordinal?
Comment from : Tahseen Binte

This is the best statistical video I have seen by a long mile
Comment from : Meniscus Medical

I have a questionare with likert scale but i have put to measure " scale ' not ordinal Correct me if I'm wrong
Comment from : Edona Morina

Thank you so much for uploading this video! I should have watched this video a week before instead of stressing whole week! thank you so much really appreciated !
Comment from : Sharmila Pun

THIS IS WELL EXPLAINED
Comment from : nwalo chibueze

Great video Thanks
Comment from : Mik Sadler

This is amazing, you have made my life easy! Just one urgent question Doctor from my Hypothesis below: brbrHypothesis: High levels of Management Support enhances Employees’ Self-esteem which results in increased Employee Performance brbrHow do I treat the variable of "self-esteem" while running my regression? Should I put it alongside the independent variable of Management Support? Please guide
Comment from : Rosa Capallo

The most concise and clearly explained videos on Likert-Scale data analysis I have seen thus far Keep it up, you are doing a remarkable service to students and professionals alike
Comment from : Asad Khan

Through your guidance have successfully completed my continuous assessment testI have understood most of the steps
Comment from : LUCY JOHNS FRONTIER-KENYAN YOUTUBER

Thank you very much for this video however I’ll like to contact you because I feel I need exclusive help with my thesis and I’ll be glad if you’ll be able to help out
Comment from : Frank Ugbem

The best explanation ever Please keep it up!!!
Comment from : yeareblig

Loved it❤️
Comment from : MDK-MOAIZ GAMING

you are amazing, i cannot thank you enough for this video, really i rarely leave comments and I have to say you totally deserve the best I hope you get more recognition and all the best !!!
Comment from : StealthyBeaver

Is this possible with 6 point likert scale?
Comment from : Johanne Panganiban

Thank you very much
Comment from : richard olarewaju

Very in depth explanatiion A master class
Comment from : kolkata kolorob

good
Comment from : tilahun tt

Hello, thanks for such helpful tutorial I just have one question: do you have any reference I can use to sustain the given measures for skewness and kurtosis of -196 and 196? It would be very helpful for my manuscript Thanks!
Comment from : Itzel Hernández

God bless you sir Can I get you videos?
Comment from : chinwe Abasilim

Thank you so much for this explanation it is really so beneficial Can you please tell me if I have subscales shall I ignore that and count the mean for the scale or how shall I do it please?
Comment from : طالبه دكتوراه Reemas channel

Dr Santha Jetty-Christain Rights Advocacy Forum

So good, so good did all that you guided so happy for my analysis thanks to you But a bit slow down with instructions so we can follow without sliding the bar back
Comment from : Dr Santha Jetty-Christain Rights Advocacy Forum

Thank you very much Sir brbrBy the way, before actual data collection, what type of instrument (question items) validity and reliability should I perform? brbrAnd also, do I need to test hypothesis model validity and reliability?brbrDo I need to do above mentioned things for Ordinal regression?
Comment from : V-Burma Link

Best Explanation I have ever listened to I was able to complete my analysis on my Likert-scale questionnaire responses data appropriately using your SPSS explanation my only issue now is properly articulating it in writing It's a bit of a challenge any advice to improve in that area is appreciated Thanks
Comment from : COMFORT WALKER

Thank you very much for saving my Master Thesis! I have been a college student for the past 5 years, not a single professor has explained the tests so well, so simply and such intuitively I was going through a very stressful time because of my thesis data analysis, you made it very easy Means the world to me for people like you to be making other academicians' lives easier More power to you! Have a great day, great year, great life ahead! You made my day I every bit of my spss understanding to you
Comment from : Sneha Sivakumar 2028056