How to do Regression Analysis for Likert Scale Data? Ordinal Logistic Regression Analysis
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- Опубликовано: 24 апр 2020
- How to do Regression Analysis for Likert Scale Data? Ordinal Logistic Regression Analysis:
In this video, I have explained step by step process to conduct Ordinal Regression Analysis with example
You can find the important assumptions and methods related to Ordinal Regression
1. Model Fitting Information
2. Goodness of Fit
3. Pseudo R- Square
4. Parameter Estimates
5.Test of Parallel lines / Proportional Odds
I have explained the Hypothesis tests for each of the above tests and under what conditions they must be accepted or rejected.
I hope you will like the video, please press a like button, share the video and subscribe the channel for more related videos.
Thank you so much. The explanation given is simply superb and flawless. I was fixed with what and how to do it. The concepts explained by you is lucid and is incomparable. As a person dealing with chemistry to understand statistics is difficult. I once again thank you for adding confidence in my work
I am happy to find your video. exactly what I need. EXCELENT!
Thank you so much sir 🙏🏻 i feel blessed to have found your content. You have such in depth explanation along with basics and interpretation. Amazing.
Excellent video! Very clearly explained. Thank you.
I am just a beginner in statistical techniques but I must say never forget the lecture and ordinal logistic regression.
Thank you very much sir. Actually, i learnt Logistic Regression but for Ordinal Regression is out of my syllabus. I've been looking for this video for a month. Thank you once again sir.
I am happy to see this video. thank you!!
Thank you so much!!!!! This video helped me out a lot. I'm not even taking a statistics course but I need it for a study I am conducting.
Great vedio. very informative. Thanks
an excellent video. very nicely elaborated. Need more videos regarding impact analysis in Likert scale in SPSS
thank you sir for such a wonderful explanation
You are the only one i found that is usefulll
Thank you for the wonderful explanation.
Thank you so much sir....i had this problem of regression analysis and had no one to turn too...but this help me alot please keep uploading more videos
Thanks. Wonderful information
Excellent demonstration
This video was really helpful! Thank you 😊
Thank you sir. This video is really informative and productive
Excellent!! Thanks for sharing.
wonderful and amazing job.
This video is excellent. It explained clearly all the concepts of Ordinal Logistic regression. Thanks once again sir of the wonderful work. Please keep uploading more video in Regression Analysis.
Thank you
What app did you use sir
Thank you so much, great explanation
Very well explained.
Thank you so much for preparing this video. It is professional and informative.
Very clear explanation. Thank you so much.
Thank you so much. Great Explanation!
very informative
thanks alot
Totally perfect !!! Thanks
Thank you for uploading.
Very nice!
Really informative
Thank you very much, great job
Watched the whole video!
The best explanation for ordinal regression ever! Thank you so much for your explanation! I have gained a lot of knowledge from your video
Thank you
great. Many thanks
Good explanation sir
Thank you!
good teaching
Thanks so helpful
Thank you sir
excellent video. Your teaching skills and explanation are amazing.
Thank you, please subscribe the channel and share the video
Dr. Satish Kumar I am getting a lot of help from your videos. God bless you.
Please subscribe and share the video's, Thank you
@@MyEasyStatistics subscribed
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wonderful detailed explanation..
can u pl explain how did u calculate OR/ B estimate??
Thx
I am always satisfied with the way you present you video lectures. They are clear, stepwise and understandable. In here presentation why you did put the IV in factor box? Some say they put IV in factor ox if the IV re than two levels how do you react?
Thank you very much for the explanation!
I have a question, what tests should I do to measure the influence of a set of variables on the occurrence of a phenomenon in the absence and / or combination of them? I'm working on my thesis and I'm trying to find patterns in the interaction of this variables.
I would really appreciate your help
What is the relationship between ordinal logistic regression, such as this one, and One-Way ANOVA? How can we apply ordinal logistic regression for Repeated-Measure ANOVA? I am highly inspired by your explanation and deep knowledge. Thank you.
It's really a informative vedio. Please explain how to calculate exponential value .
exponential constant (e) to the power B (estimate);;; e=2.718 ;;;; calculation for brand C would be as; e^3.757 = 2.718^3.757 = 42.80309
Sir, your class is excellent. You explained very clearly. May I ask you one doubt? How to do validation of the ordinal logistic regression model?
wonderful explanation sir.
I have doubt sir
how to interpret threshold?
Thank you for the amazing video sir.. I have a doubt...Sir I have 2 set of data in likert scale. one set shows the current list of amenities in a guest room and the 2ns set shows the upgraded set of amenities in a guestroom. i have satisfaction data in nominal scale ie yes and no. how should i establish the relation between the set of amenities and guest satisfaction and then can i compare the level of satisfaction if it has increased or not
Sir, what to do if both independent and dependent variables are ordinal scales, can we use this by considering independent variable oncontinuous scale?
🎉🎉🎉🎉
Hi Sir.. A great video..
Coming to the satisfaction levels b/w brands, in case my likert scale is coded as 1-Strongly Agree & 5- Strongly disagree, the inference w.r.t. what
-ve sign in estimate will have is highly satisfied and +ve sign in estimate will be highly dissatisfied.Is this the right way of how it should be inferred Sir?
Wonderful explanation of ordinal regression.If we have ordinal( likert scale) independent variable then it is to be entered in factors or covariate? Please tell..
Thank you so much for your video. I was wondering would it be better to use probit regression for likert scale data?
Hello , this is a great video.thank you very much.
I tried using Ordinal logistic regression on a survey but got bad results.
test for normalty was fine.
The Indepentent var is the age by ranges (18-25,26-34,35-41,42-50,51+) the depentent var is question in likret scale (1-6)
After running OLR the model fit was 0.118 and the Pearson was 0.006.
according to what I understand the model does not fit the analisys.
could any one help ? I can send the SPSS file .
Anda
Dear sir, I have dependent and independent variables both are categorical Likert scale. How to conduct a regression analysis? all variables are latent variables (unobservable).
Hello, sir. When no predictors showed significant associations, do we still have to explain the estimates and Exp(B) in our research paper?
Sir how you calculated the exponential B, how graphs plotted and in table no I have not found exponential B, if exist how can we calculate. Thanks.
What if the pearson and devience values are different i.e. pearson value p0.05?
where did you get the exponential value btw? Thank you
for both categorical data in dependent & independent, how we can do ordinal regression, please suggest with example
I have likert scales as IV... I wonder if I have to treat each level of the likerr scale as categorical...
Exemplary Sir... I am doing an analysis using 4 modes of transport where I am considering 8-10 statements per mode considered at 5 levels.. Can I do the analysis in a single go or should it be done separately?
How can I arrive at a consolidated result for each mode like how more preferred compared to other modes ?
Thank you, excellent explanation. Sir, I have one question. There are 8 items for my DV (all measured by using LIkert scale). Do I need to compute mean and recode into a different variable? Or how?
Yes
Hi. When I did the mean of the items, I got decimals. Is that considered an ordinal data or scale afterwards?
Thank you for explanation, very informative video. Sir, can you please tell, how you derived exponential B values?
exponential constant (e) to the power B (estimate);;; e=2.718 ;;;; calculation for brand C would be as; e^3.757 = 2.718^3.757 = 42.80309
Good day sir, based on the result that the spss provide,
*P0.05 Goodness-of-fitting= Accept the NULL (ypu said that it should be more that 0.05 it is okay in your data)
*Parameter Estimates= Brand A and D is not significant variable to the dependent variable
*P>0.05 Test of Parallel Lines= Accept the null hypothesis
My question is, overall what is the result? should you reject or accept the null hypothesis? Thank you
Thanks for the explanation. Please, i would like to know what should i do when the Pearson and deviance results are significant (under 0.05) in the Goodness-of -fit table? Is it an indicator that the model do not fit the data, and i should not do regression analysis? Also, If the test of parallel lines is significant (under 0.05), can we still use the results of the regression? In this case, should we choose Generalized linear model option on spss to run the regression analysis. Thanks, your reply will help a lot!
Hi, did you get the answer to this question. My Pearson is p
Thank you its a great video ! If there are two or more dependent variable how to identify which variable is the most significant variable among all other variable in survey data ? (likert scale)
In SPSS we can not do analysis if we have two or more dependent variables
Please i need a material to help me with a concise methodology for my project using ordinal regression
How data view appears for this analysis can someone share
Will it be the same process for two sets of ordinal data?
Thank you for the helpful video! What program are you using for the analysis?
SPSS
when test of parallel line less.05, what will next do ?
This video is a great video than a have seen before thanks so much 👏 and l have one question my result is significant and but the parameter estimates are negative so how can i interpret
When the parameter estimates in a regression model are negative, it means that there is a negative relationship between the predictor variable(s) and the outcome variable. Even though the relationship is negative, if the result is statistically significant, it indicates that the relationship is unlikely to have occurred by chance alone.
Please why Pearson and not speaman?
My variable has 3 groups of
AS SOON AS POSSIBLE
LATER
NEVER
will it be considered ordinal
Sir can we use regression with different numbers of respondents? Example: Variable 1 respondent is 100 while Variable 2 is 80?
Can thia be done using excel?
May i ask how do you input the data?
Sir, can you share the data view for the above.
Sir, This is very useful. I have a question.. I have 5 independent variables, 1 dependent variable. all were measured using lickert scale. My dependent and independent variables are multi dimensional. that means one X variable has 3 dimensions and each dimension has several questions. In that scenario, Can I sumup all the items in all 3 dimensions and arrive at one variable? if so can I use ordinal regression pls?
You must do Ordinal Regression only when the dependent variable is Ordinal. When you sum the variables then it will become continuous scale data. You can not use Ordinal Regression. You must use Linear regression for Continuous scale dependent variable.
Sir what app did you use
Sir. What to do when Goodness of it is less than 0.05. what I have to do. Please do help me
Sir, how do we write a statement about the result? Please help.
Show me your data view, awit sa 'yo lods
How can I input data
I have 9 independent variables - influential factors and demographic factors.
Influential factors - 5 factors with 3 items each (measurement indicators). Rated from Strongly Agree to Strongly Disagree.
Demographic factors - 4 factors - age, gender, income, education level.
My dependent variable: how often do you shop online? Rated from Always to Never
I want to find out the relationship between the dependent variable and the influential factors, as well as the relationship between the dependent variable and the demographic factors.
For the ordinal regression, i put how often do you shop online for the dependent variable, and for the independent variables (e.g. convenience) i put the 3 corresponding items. I dont put all 15. What is the correct way to do it?
Also, can i find the relationship between the influential factors and the demographic factors?
NEED A RESPONSE URGENTLY PLEASE!!!
Hey what type of test did you go ahead with, as I am facing a similar problem and my research too is on online consumer reviews. Please do reply. Urgent 🙏
which test should I do to find the effect of pricing (ordinal) on purchase of xiaomi smartphones(nominal) ? pls help me out.
Ordinal regression
Thanks a lot
Sir i have 6 independent factors, 3 independent factors such are age groups, gender and income levels which are multiple choice questions and the other 3 independent factors are questions asking how helpful online consumer review are, how important they are and do they influence purchase decision which are likert scale questions
And my dependent variable question is likert scale asking after reading consumer reviews online, how likely are you to buy the smartphone?
Also my data is non Parametric.
Sir can I still go ahead with ordinal regression in the above mentioned case.
Awaiting your reply sir.
Sir i have my submissions in two days.
URGENT PLEASE DO REPLY SIR.
Yes
Hi. can we use ordinal logit regression when both independent variables and dependent variable are ordinal variables?
Yes
@@MyEasyStatistics how can we interpret effect of ordinal predictor (Likert scale) on another dependent ordinal variable (Likert scale)? if you have any video or any easily understandable material please share with me. thanks in anticipating.
what if dependent and independent both are categorical Likert scale
Hey did you find out what Tod o , please replyyy
*to do
is there an equation to calculate all these parameter estimates by hand?
12:48
Sir if the the goodness of fit test has not met the condition then what must be done?
Then, you must change the relationship between the variables in the model
@@MyEasyStatistics Sir how can we do that? Kindly explain
Hi! How do we interpret the likert scale for this?
Like for my research is not motivated to highly motivated. how do i know if male for example are moderately motivated?
Its urgent huhu thanks for answering! God bless
What app did he used for it?
@@yohanisaactalastas74 SPSS
How did you calculate the exponential values?
You can use MS EXCEL
exponential constant (e) to the power B (estimate);;; e=2.718 ;;;; calculation for brand C would be as; e^3.757 = 2.718^3.757 = 42.80309
What if the pseudo R Square is 1.000?
If the pseudo R-squared value in a regression model is 1.000, it indicates that the model perfectly predicts the outcome variable using the predictor variables. In other words, the model explains 100% of the variance in the outcome variable, suggesting a perfect fit. However, such a scenario is extremely rare and often indicates a potential issue with the model.
Thank you!