Correlation in SPSS | Interpreting Correlation Matrix in SPSS | SPSS For Beginners

This video is tutorial to demonstrate how to analyze Pearson Product Moment Coefficient of Correlation in SPSS and how to interpret its output. It also shows how to draw and interpret Scatterplot in SPSS which includes the discussion of assumptions of violations, direction and strength of correlation.
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Correlation // Types of Correlation:
• Correlation | Types of...
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[@syedzone477]

vary learnable this video, really it helpful me for work on Correlation

[@arunimasingh8651]

very helpfull tutoral

[@dr.sumeetbakshi]

Glad, you find it helpful
Stay Connected!!

[@angelsinha5352]

Thank you ma'am for sharing, i was waiting for this video.
You clarified every point in this.

[@nurnaili]

Great sharing dear

[@deepashreemaghizh5085]

very useful and helpful video, sure to benefit many watching

[@shreyarai8301]

You always explain with so much ease

[@singhswag7267]

Nice video keep sharing more

[@pratusahoo4733]

Informative video really appreciate

[@johndedra2644]

impressive , nice thanks for sharing!!

[@vasanthchakrapani4659]

Excellent Explanations.

[@AttyDG]

Very well explained

[@vibhanshreoshiraonrai5937]

That's was so easy

[@PriyaPriya-uq7rv]

Good information

[@amitkataria4063]

Thanks for detailed explanation

[@kaustuvmittal2052]

Good explanation

[@shreayosheekarmakar704]

This was really helpful

[@irnanatasyaahmad5215]

Hello dr, while doing pearson correlation analysis , how to change the alpha value from 0.01 to 0.05? Thank you so much

[@dr.sumeetbakshi]

In simple language,
Alpha value 0.01 mean that we are 99% confident in our results
Similar is the case with 0.05, we are 95% confident.
So, correlation which is significant at 0.01 level is also significant at 0.05 level.
SPSS gives us more precise alpha level for our better understanding about results.
For more details, Stay Connected
Soon I will upload video on Levels of Significance

[@talacherunecaisse3978]

This was good info

[@lisahalder5801]

Thanks for your sharing

[@nidhijaswal8584]

Hello mam...your videos are always very helpful.
Mam, pls solve my query..do we need to know how to calculate these correlation, regression etc..manually also??
Actually I am at beginning stage of my PhD and facing problem with these concepts..pls guide

[@nidhijaswal8584]

Plss rply mam..it will be really helpful..

[@dr.sumeetbakshi]

Glad, You find my videos helpful!!
You are not required to know manual calculations of any statistical test as in Ph.D. Your sample size will be huge, you cannot analyze your data manually. You can analyze your data using any software like SPSS. But, you should have conceptual knowledge of these statistical tests. This will help you to understand your research questions and interpret results of your study in a better way.
For basic concepts of Correlation and regression, you can check out my other videos.

[@nidhijaswal8584]

@@dr.sumeetbakshi thanku so much mam for your rply..i have already started watching your videos to have conceptual knowledge of all these statistical concepts..Thanku mam..god bless😊🙏

[@dr.sumeetbakshi]

Thank You ❤️
If you find my videos worthy, please do share with your friends ☺️

[@angelsinha5352]

@@dr.sumeetbakshi
Yes ma'am
My whole group always wait for your videos.
Can't thank enough 🙏

[@ranangahulisani]

Very helpful, thank you

[@dr.sumeetbakshi]

Glad, it helped you 😊
Stay Connected!!
You can check out complete playlist on SPSS tutorial and please share with your friends if you find it worth.
ruclips.net/p/PLLXZSag1ERIgXoIetth5vQg-5_RCaclPm

[@jovelynjardeleza4773]

Hello maam, can i ask whats wring with my data if my sig is always. 000 what should i do..

[@dr.sumeetbakshi]

There is nothing wrong in this
If ur sig /p-value is

[@poonams4029]

Do we correlate continuous variable with categorical variable like gene expression fold change with clinical feature like gene expression data in 2.1, 2.6 continuous type and clinical feature like bone disease in form of present, absent. Can we do correlation between two

[@TR-rx5ej]

Is this correlation with outliers in data or without outliers in data? How to exclude outliers from data before conducting correlation analysis? Correlation is a parametric or non parametric analysis?

[@dr.sumeetbakshi]

This was fictitious data used for demonstration purpose. If your sample size is large enough, few outliers will not affect. But if you dealing with small sample size, then spearman rank coefficient of correlation is good option to proceed further. You can exclude outliers by detecting case-wise but you need to justify it. For parametric and non- parametric correlation, please watch ruclips.net/video/8sn84VancHY/видео.html

[@TR-rx5ej]

@@dr.sumeetbakshi Thankyou

[@TR-rx5ej]

Here correlation is R or R2 (R square)

[@dr.sumeetbakshi]

Please watch this video till end. I have explained coefficient of correlation and coefficient of determination both.

[@TR-rx5ej]

@@dr.sumeetbakshi I will, Thankyou