How to do Simple Linear Regression in SPSS (14-5)

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We will be computing a simple linear regression in SPSS using the dataset JobSatisfaction.sav, in which an administrator at a mental health clinic was interested in predicting job satisfaction from burnout. We will predict job satisfaction among these counselors using their level of burnout, a loss of enthusiasm for a job. Theoretically, high levels of burnout would predict low levels of job satisfaction. We will use SPSS to find out.
This video teaches the following concepts and techniques:
Linear regression
IBM SPSS Statistics software
Link to a Google Drive folder with all of the files that I use in the videos including the JobSatisfaction.sav dataset. As I add new files, they will appear here, as well.
drive.google.com/drive/folder...

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26 апр 2017

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Комментарии : 87

@elizabethswartz9084 Год назад

Can we please nominate this RU-vidr for a Humanitarian Award? You are literally saving my dissertation. Thank you!

@ResearchByDesign Год назад

You are so kind. Thank you for the comment and the email. I am very glad that you are getting the most out of the channel. Best of luck with the rest of the dissertation.

@finspatheticchannel1224 Год назад

amazing video, saved my essay. 9k a year for this course yet this video outclasses all resources ive been given. You have my genuine thanks

@estherbrowne2017 Месяц назад

This is the last topic for my research… lost for 2 days on how to do a simple one and i didnt sleep till morning trying to search how to do it .. thank you for this method.. simple and easy to understand..save my time 🙏🙏🙏🙏🙏

@edbicknell4170 2 года назад

Without a doubt the best video series on SPSS.

@ylniles 5 лет назад

honestly i don't know what i'd have done if i didn't discover your channel. I now understand these topics better since i am not good at statistics. Thank you so much for your explanations and breakdown its easy to follow and very helpful. I now have a little more confidence when it comes to statistics

@ResearchByDesign 5 лет назад

So happy to hear that. Glad that the videos were helpful to you and thanks for commenting.

@adibazebin735 4 года назад

Thank you so much, sir, for such an easier explanation. It makes more sense than all other videos. Everyone just tries to make it harder whereas, I appreciate the way you made it much simpler. Extremely thankful for all your efforts to make these videos. You made stat much easier than I ever thought!

@ResearchByDesign 4 года назад

You are most welcome. I remember when I was a student and I just wanted someone to explain it to me simply. Glad to be of help

@carlospadilla6356 5 лет назад

Perfect class Todd! You are an excelent statictics teacher. Greetings from Brazil

@ResearchByDesign 5 лет назад

Thank you, sir...and greetings from Missouri, USA to you. Probably much warmer where you are, right now.

@evanyin9379 9 месяцев назад

man, just want to say this is a great video, thank you so much, this just made everything so clear

@thomasfogarty2320 4 года назад

I am a 2nd year marketing student, cheers for the video! No one else explained it as deep but as efficiently as you did, thanks. From Australia.

@ResearchByDesign 4 года назад

Excellent...very happy to hear that. Glad that you found the explanation helpful.

@reyoflight2458 4 года назад

Wow! These videos really break down SPSS and makes it so much easier to understand . Thank you! :)

@jlobana5801 5 лет назад

Excellent session on regression!

@nkato7400 4 года назад

One of the best vids I found on youtube. Thank you sir

@ResearchByDesign 4 года назад

So grateful to hear it. Thanks for the comment.

@benedictcyril8409 5 лет назад

thank you sir, the tutorial is extremely useful. am following your page for the past month. i have a request, kindly make the data sets available, so that we can practice it. again, thank you for the lectures

@badalyanarman5924 6 лет назад

Very informative. Thanks a lot.

@penny767 4 года назад

Love this video!

@jackrow6234 2 года назад

So amazing! Clear and easy to learn!

@ResearchByDesign 2 года назад

Happy to hear that!

@elizabethjablonski3320 Год назад

Love these comments! haha yes I would vote for this guy! He has made it "easy" to understand as I struggle with my Chapter 4

@samirahabibi6629 2 года назад

j me suis trouvé devant l'encrant en regardant ton explication tu es magnifique j'ai bien assimiler le cours je te remercie de

@Alexa-bd7pn 3 года назад

Very helpful! Thanks for this!

@ResearchByDesign 3 года назад

You're welcome!

@paulstutorialsdr.mohammada6974 6 лет назад

very good one . Thanks

@sbmarafon 4 года назад

Great! !You are the best. Thank you

@ResearchByDesign 4 года назад

Thank you too!

@kalukeru 2 года назад

Best video i have ever seen on data interpretation.

@ResearchByDesign 2 года назад

Thank you for that comment. Very much appreciated!

@kamalbohara2277 4 года назад

Very good !!

@gaoyuqian001 2 года назад

Thank you so much for the tutorial! I tried it and everything went through smoothly except for the Dubin Watson analysis. The result showed 0.23 which is below the normal indicator 1 to 3. Would you please add additional notes on how to fix it? Thank you very much!

@amyholliday5719 3 года назад

Very useful, thank you!

@ResearchByDesign 3 года назад

Glad it was helpful!

@charlesyamoah5417 6 лет назад

DEAR, thank you for your tutorial. I suggest you make available the data of example for the audience. This will help us follow effectively

@ResearchByDesign 6 лет назад

Working on that now. All of the data sets will be available on the RStats website. We are in the midst of reworking the site. Thanks

@bdpatton2 6 лет назад

Not seeing it on the website... could you copy URL?

@weihuang6207 Год назад

very helpful. thank you

@getenetteklewold2123 3 года назад

impressive!

@a.ikirindage1565 Год назад

Very helpfull this video my BSc research

@suksuk602 2 года назад

Awesome!

@grouse6 3 года назад

Fantastic video.

@ResearchByDesign 3 года назад

Thank you very much!

@Nikolromieri Год назад

Thank you for your help!! I got a 0.055 with a little "b" on top of the last 5, I am confused on what that means and if the ANOVA is significant.

@GOSPEL276 Год назад

Hi dr Todd... Is it possible to put the prediction interval lines in the chart as well and also the line for 95% confidence interval?

@JordanReed1 3 года назад

13:58 "Is it all starting to make sense now?" No, but go ahead

@nafisimtiazhossain9335 3 года назад

hahaha same to me

@kimdinnie 2 года назад

me right now

@dietwithseemin5163 Год назад

Excellent

@RaihanJamil 5 лет назад

It would be great if you could provide links to other videos when you mention them in current video(s).

@ResearchByDesign 5 лет назад

That is an excellent suggestion. I originally posted these for a stats class, but now would be the time to go back and improve the ability to get to the next vdeo.

@syedzohaibiqbalzaidi 6 лет назад

Dear, thank you for that video but in the end you say that their will be another whole video on reviewing the interpretation of regression analysis. Please develop that as well as i checked and did not found it

@orglifebible8693 2 года назад

how did you get the y equation on the line i cant see it on my spss

@applepakistan3164 5 месяцев назад

Dear Dr , please how to write assumptions for the thesis, I hope you check the comments on your old videos

@daledeneal4236 5 лет назад

Dr. Daniel, you mentioned at the end of this video that the next video would deal with reviewing how to interpret regression output. I don't see that video. Could you provide me with some direction on where to find it? Thank you, Dale

@ResearchByDesign 5 лет назад

Hi Dale. I am going to post two PDFs in my google folder (link in the channel art). One is for simple linear regression and the other is for multiple regression. Both use the JobSatisfaction.sav dataset in this video (and also available in the folder). Those will walk you through the SPSS output, how to interpret, and how to do the APA write-up. Check that folder in a few hours and you will find them. Thanks!

@daledeneal4236 5 лет назад

@@ResearchByDesign Thank you, Dr Daniel. I will look for those PDFs in your Google folder. I so appreciate your help! - Dale

@hojanyang7109 3 года назад

Hi, how do we run linear regression if I have a continuous dependent variable and categorical independent variable? Thanks.

@ResearchByDesign 3 года назад

Depending on the specifics, you would do a t-test or an ANOVA. It's the same math, actually, just a different test. Good luck

@barnadeep_das 2 года назад

How use likert scale data in linear regression? Like in my questionnaire there is 10 questions 1. You are getting quality service from your institute. a)disagree b) neutral c) agree. Like that there are 9 more questions, How to plot this questionaries in linear regression. please help me out sir i am close to my deadline

@hamidsh4789 3 года назад

Excellent. Thanks. What if Durbin Watson number is less than 1. In my case 0.005?

@ResearchByDesign 3 года назад

The Durbin-Watson less than 1 would indicate residual errors are auto correlated (not independent) - if you have correlated errors you cannot use multiple regression. You may be able to use an alternative such as time-series analysis. Sorry to be the bearer of bad news. Good luck

@hamidsh4789 3 года назад

@@ResearchByDesign Ok. Thanks...

@ShahidIqbal-xv6fo 3 года назад

sir plz make video on logistic regression it is badly needed by you thanks

@ResearchByDesign 3 года назад

I do have logistic regression on the schedule for fall semester. I'll be doing a series on regression techniques. Thanks for asking about them.

@AlizaElisheva 3 года назад

Hello, What should I do if I am working with ordinal variables? Should I convert them to scale variables?

@ResearchByDesign 3 года назад

There is an option for Ordinal regression. I'd recommend Laerd Statistics as a starting point. They have wonderful, detailed tutorials. I'd recommend against treating an ordinal variable as scale unless you have multiple items, each on a 5-point Likert scale, that can be averaged to form a sub scale. Then you could treat that aggregate score as scale. Good luck.

@AlizaElisheva 3 года назад

@@ResearchByDesign Will do. Thank you very much.

@aaronjacobfox4612 4 года назад

Yeah Cool

@tarekegngirma699 3 года назад

Such a brief video but what else if we have more than one predictor variable

@ResearchByDesign 3 года назад

More than one predictor is a multiple regression. I don't have a full video yet, but I did talk about it in a class lecture: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-iJWn0Dhdeus.html

@grouse6 3 года назад

what if my constant under coefficient a is not significant (t = 1.274, sig. .205?

@ResearchByDesign 3 года назад

The constant does not have to be significant (although if it is ns, be sure to check whether the entire model is significant). If so, and your b value is significant, then you can report the findings as model that significantly predicts the outcome variable.

@grouse6 3 года назад

@@ResearchByDesign Thank you very much. I appreciate the time it's has taken you to develop this video and answering my question.

@grouse6 3 года назад

@@ResearchByDesign I have one other question. For the purpose of conducting regression, is it necessary to adjust all outliers (small circles) or just extreme ouliers (small stars)? In an earlier T-test I was advised from my university to just remove extreme outliers. However, after watching your videos it may be a mistake to do so for regression. My residual numbers are more than 3.29. Thanks you.