Dear all,

I am writting a paper and I am new to the confidence intervals...so I run my one-way anova and I get the following results:

Effet

Tests de Significativité Univariés, Taille des Effets et Puissance pour moy

Paramétrisation sigma-restreinte

Décomposition efficace de l'hypothèse

SC

Degr. de

Liberté

MC

F

p

Eta-deux partiel

Non-centralité

ord. origine

0,6140

1

0,6140

3,9321

0,049434

0,028715

3,932

CAT

685,8919

6

114,3153

732,0676

0,000000

0,970610

4392,406

Erreur

20,7685

133

0,1562

How can I find the overall confidence interval for this anova ? And most important how can I write down the 95% CI of the overall ANOVA in my paper (as I have 7 categories compared to each other), so which CI I have to write down?

I have also ran Bonferroni and I have the followinf results:

Cellule N°

Test de Bonferroni variable moy

Intervalles de confiance simultanés

Erreur : MC Inter = ,15615, dl = 133,00

versus

Cellule

Moyenne

Différ.

Erreur

Type

p

-95,00%

LSD LC

+95,00%

LSD LC

1

2

-0,87805

0,124962

0,000000

-1,26512

-0,49097

3

-2,81683

0,124962

0,000000

-3,20390

-2,42975

4

-3,03348

0,124962

0,000000

-3,42055

-2,64640

5

-4,81677

0,124962

0,000000

-5,20385

-4,42970

6

-4,77098

0,124962

0,000000

-5,15805

-4,38390

7

-6,87366

0,124962

0,000000

-7,26073

-6,48658

2

3

-1,93878

0,124962

0,000000

-2,32585

-1,55171

4

-2,15543

0,124962

0,000000

-2,54250

-1,76836

5

-3,93873

0,124962

0,000000

-4,32580

-3,55165

6

-3,89293

0,124962

0,000000

-4,28000

-3,50586

7

-5,99561

0,124962

0,000000

-6,38268

-5,60854

3

4

-0,21665

0,124962

1,000000

-0,60373

0,17042

5

-1,99995

0,124962

0,000000

-2,38702

-1,61287

6

-1,95415

0,124962

0,000000

-2,34123

-1,56708

7

-4,05683

0,124962

0,000000

-4,44390

-3,66976

4

5

-1,78330

0,124962

0,000000

-2,17037

-1,39622

6

-1,73750

0,124962

0,000000

-2,12457

-1,35043

7

-3,84018

0,124962

0,000000

-4,22725

-3,45311

5

6

0,04580

0,124962

1,000000

-0,34128

0,43287

7

-2,05688

0,124962

0,000000

-2,44396

-1,66981

6

7

-2,10268

0,124962

0,000000

-2,48975

-1,71561

I understand that category 3 is not different from category 4 (95% CI [0.6, 0.2]) and my category 5 is not diifferent from category 6 (95% CI [0.3, 0.4]). Is that correct as CI? Can I write it down as:

Post hoc comparisons using a Bonferroni correction showed that all categories were significantly different between them (all p<.05) with the exception of the category 5 which did not differ from the category 6 (p=.09, 95% CI [.3, .4]) and of the category 3 which did not differ from the category 4 (p=.09, 95% CI [.6, .2]).

Thank you very much for your precious help!!