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

[@SnehaSivakumar-mn4yw]

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.

[@p.barnardndifor264]

Sir, your type in this planet are not many to count. May God bless your efforts sir. This is so explicit and direct. I can't stop thanking you. thumbs upppppppppp!!!!

[@amandadaoust243]

Thank you so much for saving my Research Methods Project! I had no idea that, after I input my questionnaire data, that it needed to be transformed, let alone how to do it! Your step-by -step, in-depth tutorial truly just saved my degree, and I could not thank you enough!

[@nidaa5564]

There is a special place for people like you on the karma ladder who so generously share and teach! Thank you thank you! :D

[@Scoobysue1977]

Great video to help refresh my stats knowledge while working on my doctoral research. It is very easy to understand 👍

[@moniqueekundayopresidentns4734]

Wow. Just wow!!!!! It has taken me 3 weeks to figure out what you have clearly and concisely explained in 30 minutes. Thank you so much!!!!

[@collinswuks3959]

This is ALL I have been looking for in the past several weeks and after loading tonnes of videos. And it's all providence that took me to your page when I got automatically redirected by KZbin. Am sharing your links with the rest of my PhD class. Your voice sounded so Nigerian. Am really so proud of you. Thanks so very much. May God continue to keep you and bless the works of hand. Amen!

[@kismatsapkota3309]

After watching more than 100 videos, i was not able to compute the value of correlation coefficient but at last i found this video and i am able to calculate, thanku so much

[@lucyjohnsfrontier2531]

Through your guidance have successfully completed my continuous assessment test....I have understood most of the steps

[@sanvizoneresourcesandsolut3780]

This is a compact video as it clearly explains how to test for normality and run either the linear or the ordinal regression analysis amongst others from using Likert questionnaire responses . Thanks.

[@allieusesay3197]

Fantastic presentation of how to generate the results and interpret them. This video is a must watch for everyone doing regression analysis with Likert scale data. I'll recommend it to colleagues and my students. Keep up the amazing work. I salute you. And thanks for sharing the knowledge.

[@vitufez843]

Despite this video being 2 years old, its making me Earn, thanks bro

[@SuperSaddu]

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.

[@nancyjanekariuki6151]

Thank you so much for providing this video. It has helped me with analyzing data for my psychology dissertation. Truly, you are the best Stats teacher out there. Please create more content and maybe insert a way for us to tip you for this invaluable resource. You are a Godsend. I've shared the video with friends and wish I could like it a million and one times.

[@meniscusmedical2471]

This is the best statistical video I have seen by a long mile

[@JulieArmyra]

When I finish my thesis, I will contact you to send you a small gift JUST FOR THIS PERFECT MOST HELPFULL VIDEO EVER.

[@temitopeogunnaike6291]

Your simplicity in delivering this tutorial is unique, please keep it up

[@sconemackem]

if ur ever in Edinburgh, I owe u a pint mate. my dissertation would have been even more of a shambles than it already is without u pal x

[@Isaiah--vj2xu]

All our thesis need some help😂😂😂😂😂

[@arwienbhagwandas7243]

YOU, MY FRIEND.... ARE A LEGEND! Thanks for saving my BBA thesis!

[@dwaipayansinha7697]

Thank you so much Obezip, you saved my Masters research project.

[@tonyeyaman4122]

Yours is the best I have yet seen on this topic. I'm indebted to you for sharing this clear presentation video on such a complex topic. I have shared it on Facebook. Stay safe and remain blessed.

[@simbarasheschizhande114]

You saved my life man. I appreciate your effort. You are one in a million

[@shingirayimazingaizo8800]

Thank you Dr Ezie for the simplified explanation on how to conduct ordinal regression and generalized linear regression. I benefitted a lot from this video.

[@Brook7]

I read some of the comments and I found that they already explained my impression. I would say simply God Bless You! Subscribed for more :-)

[@BrianCoxDoc]

Please keep posting videos. I have yet to find something as wonderful as this for Likert data. I look forward to future videos.

[@tesfaye8253]

Easy explanation for spss,excellent i learn from you more and more.

[@stealthybeaver152]

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 !!!

[@olufemiakinola8007]

Thank you for being so explicit and clear in your delivery. God bless.

[@getinetmihret4633]

How you are a very fantastic teacher who workes to help other free of paymente, I assume as if I am in class, i get the point , wish God help you as you help me & other guys

[@SubhashChandra-ym3tj]

Wonderful presentation. It's amazing. Very clear and focused.

[@kelvinmutuma2338]

You have really helped me in my data analysis "As we can see there"

[@alizaerom1019]

likert data is never normaly distributed. you check the normality of residuals not scales..the video is great...very detailed

[@dr.rosiekim3060]

Thank you for giving explanations of what each number means along the way it really helped

[@SharmilaPunNepal]

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 !

[@norahmpundu1255]

This was so so helpful you are a star am here sited in my leaving room analyzing my own data

[@malachychijioke1270]

Your presentation made this look so simple. Thanks alot

[@babloosazz]

Thank you for being so crisp clear and concise in your presentation. God bless you 🙏

[@kolkatakolorob1185]

Very in depth explanatiion. A master class

[@karamson]

Thank you very much for this wonderful Data Analysis lesson. U surely hit it straight.

[@johnkodhek]

Perfection sir... Perfection!👏🏾👏🏾👏🏾Thankyou from 🇰🇪

[@oliverpatrick3959]

Very good stuff. You've been a great help to me as I'm beginning my Likert Scale analysis for my EMBA

[@doubledoctorateteluguammayi]

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.

[@yeareblig]

The best explanation ever. Please keep it up!!!

[@olaleyeolutunde]

Thank you... This video was super helpful. And sir, you are a very good teacher.

[@moulayeidriss2919]

I just wanna say thank you so much man, this video helped me a lot in my research.

[@goldengilmaky6788]

Thank you very much for this gem. I wish you could have online consultation programs to help with analyzing/interpreting the results.

[@kdud2799]

Thank you so much for this timely explanation. I'm glad I didn't have to wait for it! Please keep them coming.

[@aruntram]

Excellent lecture sir😍😍😍.. hats off u...

[@trolololkenza1D]

Every business school professor defeated in a 30min video!! #BOSS ahaha! This was so clear and sooooo helpful, thank you so much!

[@Wolf-hd1hr]

My MBA professors are dicks, they don't even reply to my queries and this guy has saved my project.

[@comfortwalker4282]

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

[@obezipacademy]

You can consult good published journal articles related to ur studies or topic for proper guide

[@Nsppdians1]

THanks for the explicit explanation pls would like to knw if you do conduct a tutorial about spss apart from this once u post on KZbin. if yes would like to enroll especially as a beginner LOoking forward to seeing your reply

[@MisterBeaty2]

Thank you very much for this clear explanation on this (in my opinion) difficult topic! I have only one question professor. If I use continuous control variables, such as age, should I put them into the covariate or factor category before running the regression? Again, thank you very much for making this video!

[@syd7790]

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

[@Vikymoh]

Dr Eze, you are good. Thanks alot.

[@yolianderson6134]

Thank you for this magnificent and detailed explanation Dr. Obumneke Ezie. I hope you can make a video with the Multinomial logistic regression for the same example.

[@yoyons8784]

Yes please, I'm stuck bcs mine does not satisfy the proportional odds assumption. How could overcome this Dr?

[@sofiyaelyana6921]

please i wanna know too,,my data also not satisfy the proportional odds assumption. how to interpret the result of its multinomial logistic regression?

[@abumonyeigbo5040]

Thank you bro, you saved my day. I can now go on with research work.

[@rosacapallo7517]

This is amazing, you have made my life easy! Just one urgent question Doctor from my Hypothesis below: Hypothesis: High levels of Management Support enhances Employees’ Self-esteem which results in increased Employee Performance. How 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.

[@obezipacademy]

It's a three way analysis.... Use SEM. Unfortunately I don't have video on SEM. SEM means structural equation model

[@rosacapallo7517]

Thank you so much, I'll try searching for some material. Love and regards.

[@joanabisi1843]

This is so helpful. Thank you very much and God bless you. Will love to learn about Amos.

[@ABC2691]

Hello, sir. I have a doubt and was wondering if you could please help. The data that you have are ordinal data and ordinal data's central tendency cannot be mean but it is median so how come you took mean of EP, DLS and ALS to check if they are normally distributed? I just want to understand your method more in detail. Thank you.

[@tchimejosh5333]

Thank you so much for these simplified tutorials. I am writing on " Effect of management style on Employee Employee Performance in Post-Covid times'" my question is, could remote work conditions be the FACTOR?

[@vendetta543]

Just a couple of questions. You used Ordinal Regression because the variables were not normally distributed, however the Dependent Variable (EP) for this dataset was not an Ordinal one since you used the mean, so it was a Scale variable. Would Ordinal Regression work for scale variables like that? Also, should Likert scales really be summed up with means? I thought it was normal to manually sum up the total scores via addition. Apologies for the questions, I’m finishing Masters Thesis and am rather worried.

[@akubodavid271]

Thanks for this in-depth explanation.

[@hikmetabdulhamid]

Test of parallel lines and goodness of fit were both statistically significant. What was the term you said to use if the parallel lines were statistical significant? And how do I use that? Also what do I do about the goodness of fit being statistically significant?

[@megbarutesfawmolla4989]

Thank you very much for your interesting lecture.

[@tonyarhodes8229]

Thank you so much for such a precise and clear lecture. Take care and keep them coming!

[@funshoolu]

Great stuff from my Dr colleagues

[@ethiolife748]

You just saved me from compete misery!

[@oliviathurley5732]

Thank you for this video! What do you say from 18:00 to 18:16?

[@obezipacademy]

I was trying to explain why you could adopt multinomial logistic regression if you violate test of proportional odds Assumption

[@esivuesuleiman1717]

@@obezipacademy please how do we interpret the multinomial when proportional odds assumptions are violated.

[@AlternativeEnding]

In my case (done HR analysis prior seeing this video) in addition to EP, DLS, ALS (plus other sections) I had general satisfaction. Prior conducting Ordinal regression it was usefull conducting Spearman's rho. By doing this I could find the most significant trends. I am just saying that if you add all variable and make a MEAN variable you may miss the core changes. Once again, in my case I had extra general satisfaction variable - the main dependant.

[@felixarinzeh2704]

God bless you abundantly. Can this be used to test hypothesis? That's checking how the two independent variables impact the dependent variable?

[@abdulrazaqali6553]

Thank you, Sir! You made my day easier.

[@indusingh309]

Thank you very much for the easiest explanation.

[@mutaseimmakki3889]

Very good explanation. Thanks sir. May Allah bless you and all people

[@TG-ji9mi]

Thank You! Please add subtitles in the settings.

[@pushpakkhonde181]

Awesome Thank you so much, you just made it a lot simple for analyzing things. Just curious about one thing that in the Video there is no interpretation of Spearman's corelation? Please provide

[@AMiller19821]

Can you explain the equation at the beinging of the video how did you come up with that? at bottom of word document at 2:05 min

[@ringoinah]

Tank you for the video! What if you are missing some values though?

[@oparanozieemmanuel8658]

thanks for the insightful video. please i want to ask lets say i want to generate the p value for an ordinal data ( say classification of lecturers eg professor, reader, lecturer 1, lecturer 2, etc)

[@thabolephoto6502]

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?

[@mayokiedwin2580]

This was very good and informative.

[@mytube1702]

this is good teaching presentation thank you.

[@ebrahimal-sakkaf5668]

Thank you for your explain, If I do not have the dependent variable, and have three independent variable, can I estimate the dependent variable?

[@Isaiah--vj2xu]

Thank for this.. For a small sample size, even if my data is normally distributed, I would still do non parametric statistics????

[@aaronayubasamaila8821]

Thanks. Please can you do a video on determine significance (Pvalue) for Chi-square test?

[@QreQos]

8:41 It shows here that both Skewness & Kurtosis for DLS is between +1.96/-1.96 Yet the test of normality table shows they are not normally distributed. Why is that Sir?

[@arunamk]

Hello QreeQoos did you get a clarification on this? I have the same question.

[@obezipacademy]

If you have conflicting results as that, dwell more on the KS Test or Shapiro wilk test... Since they are statistics designated for specifically testing normality or non normality of data

[@habtamuayele9265]

Thanks for your sharing, how can I analyze the relative importance index of Likert scale using SPSS software

[@getachewyeshambel1543]

Good explanation

[@Eric-kt1kp]

Hi, thanks for your video! What it my test of parallel lines is signifcan, meaning I have violated this test?

[@charlieking8348]

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?

[@soufianebenraji-Psy]

hi sir, thank you for the efforts i 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 ? thanks for help

[@NDUYEBRIGGS]

Very clear explanation

[@samsonmmburu]

So informative and helpful.

[@reema_channel]

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?

[@sabahyas5724]

Well done Dear

[@tettehernest7723]

Thank you very much Please my dependent variable has only one question, how do I deal with that ? Thank you for your response.

[@kasulealex9036]

Hello @obezip Academy, thanks for this video, my question is how do you get the intercept for the developed model....I want to write down the equation with all the parameter estimates. Thanks

[@obezipacademy]

The intercepts are referred to as the threshold..... ordinal logistic regression doesn't have just "one" intercept.

[@Liondomain]

How do you know to accept or reject your null hypothesis from the analysis above?

[@abdallaabdurrahman2825]

God bless you sir. Thank you so much

[@khonghoukeat]

Hi, thanks for the great video. You mentioned that if the data set is normally distributed, after checking the Shapiro-Wilk test, we should perform 'linear regression", may I ask if this is ok if the dependent variable is ordinal (Likert scale) in nature?

[@joelogutu7099]

What do l do when the items in the likert scale have both negative and positive responses e.g l can enjoy working with my colleagues while another item states, l have challenges working with my colleagues at work

[@obezipacademy]

@@joelogutu7099 Reverse Scoring: Assign reverse scores to the negative items. If your Likert scale ranges from 1 (Strongly Disagree) to 5 (Strongly Agree): For a positive item, a score of 5 means high agreement and positivity. For a negative item, a response of 5 (Strongly Agree) should be reverse-scored as 1, meaning it actually indicates high negativity. Adjust as follows: 1 becomes 5 2 becomes 4 3 stays 3 4 becomes 2 5 becomes 1