anova -which one to be used

[navneet kaur]

Respected All

Please guide me which ANOVA (ONE WAY ANOVA or TWO WAY ANOVA) and how it will be used in SPSS only.

1) IDV- Income is IDV have three categories like a) Less than 1.6 lakh b) 1.6-3.5 lakh c) >3.5 lakh

 2) DV- Then is E-banking service quality features (12 features with rating 1,2,3,4,5 of each feature) 

There are 400 observations.

Please guide me and i am unable to find Dr.Neeraj Kaushik video too on ANOVA in SPSS. Please send the link also. I dont want to do in Megastat. 

Thanks n regards

Navneet

[Neeraj Kaushik]

Dear Navneet

I've shared this video on https://www.youtube.com/watch?v=-2NSUhoRPbE&index=4&list=PLzUJUtTJcj8T5UJii0ItrPpkraMNF5fGC

Plz note 

when there is 1 DV (Metric) and 1 IDV (Non-metric) we apply 1 way ANOVA

when there is 1 DV (Metric) and 2 IDV (Both Non-metric) we apply 2 way ANOVA

In ur case, 1-way ANOVA shd be used.

Best wishes

Neeraj

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[navneet kaur]

Respected Sir

Thanks a lot sir for sending the link.It has 

But Sir I do not know how to insert data in EXCEL for applying ANOVA.

My question includes -

1) IDV-Income -3categories i.e a) Less than 1.6 lakh b) 1.6-3.5 lakh c) >3.5 lakh divided for 400 responses

2) DV- E-banking service quality features-12,means 12 variables like Convenience, Safety, One stop Banking etc.12 variables with 400 responses each. now how to arrange data for ANOVA.

Now how to arrange data for applying anova

Thanks n regards

Navneet

[navneet kaur]

Respected Sir

I am able to apply One way anova on said parameters..

Thanks n regards

Navneet Kaur

[Neeraj Kaushik]

Dear Navneet

Plz note that data entry in spss and exel are quite different.

I'm happy that you got your solution.

Plz feel free to ask for any/every doubt.

Best wishes

Neeraj

[navneet kaur]

Good morning Sir

Thanks for replying. i want to make request you if you have any video which shows data entry in excel and SPSS with same example, then send me the link. I am little bit aware of entering data in SPSS but not in excel.

Please also send the link where you have taken example of more than 2 Dependent variables with one IDV with further categories in One way ANOVA.

I would be really grateful to you.

Thanks n reagrds

Navneet Kaur

 

[Neeraj Kaushik]

Plz refer https://www.youtube.com/watch?v=94IqyxXTbQI&list=PLzUJUtTJcj8RrCY7JuRkY2nAeU0z8yFxu&index=9

Plz note when there are 2 DV (Metric) and 1 IDV (Non metric) we use One way MANOVA. As of now I've not made any video of the same. However this is explained in following posts:

Beyond ANOVA (Part-6.1):
https://groups.google.com/forum/#!searchin/dataanalysistraining/beyond$20anova/dataanalysistraining/l7k-2NH05Cc/GPOYuOpDq04J

Beyond ANOVA (Part 6.2) {MANOVA Assumptions}:
https://groups.google.com/forum/#!searchin/dataanalysistraining/beyond$20anova

Beyond ANOVA (Part 6.3) {1-way & 2-way MANOVA}:
https://groups.google.com/forum/#!searchin/dataanalysistraining/beyond$20anova/dataanalysistraining/2_shiVuQ-FY/XeyJjNZOqRUJ

Best wishes

Neeraj

[navneet kaur]

Respected Sir

I used one way ANOVA FOR one IDV and 12 DVs..Please suggest is it wrong? 

Thanks for ur guidance.

Warm Regards

Navneet

[Neeraj Kaushik]

ANOVA is always used for 1 DV (Metric) & 1 IDV (Non-metric)

You can run this 12 times each for every IDV

[urmi bhumbak]

Good evening ser
What should I do in case of non-normal distribution in results of  one way ANOVA
Thanks n regards
Urmila

[rajeev Kumar]

@Urmi 

I did not get the meaning of non normal distribution in reults of ANOVA. Do u want to ask that how to interpret the results of one way ANOVA if the normality assumptions of variables is violated ?

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4. Never write Open ended queries. This group intend to help research scholars NOT FOR WORK THEM.
5. Never write words like URGENT in ur posts. People will help them when they are free.
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Thanks & Regards
Rajeev Kumar Malik (UGC-JRF)
Research Scholar
Faculty of Management Studies
B.H.U.,Varanasi
Mobile- +91 979 594 3341

[Neeraj Kaushik]

I think Rajeev put the query in correct words.

Plz note the results of ANOVA will be quite robust even if the assumption of normality is violated, provided the group sizes are comparable.

if you've neither the group sizes as comparable nor there is normality in data then the results of F-test will not be robust.

Plz feel free to ask ur doubts.

Best wishes

Neeraj

[urmi bhumbak]

Good morning ser
Thanks for valuable suggestion.

Regards
Urmila