Question

1. A researcher is interested to learn if the level of interaction a women in her 20s has with her mother influences her life satisfaction ratings. Below is a list of women who fit into each of four levels of interaction. Conduct a One-way ANOVA on the data to determine if there are differences between groups; does the level of interaction influence women’s ratings of life satisfaction? Report the results of the One-way ANOVA. If significance is found, run the appropriate post-hoc test and report between what levels the significant differences were found. Report the test statistic using correct APA formatting and interpret the results.

No Interaction	Low Interaction	Moderate Interaction	High Interaction
2	3	3	9
4	3	10	10
4	5	2	8
4	1	1	5
7	2	2	8
8	2	3	4
1	7	10	9
1	8	8	4
8	6	4	1
4	5	3	8

Answer 1

solution:-

excel data analysis tool for one factor anova, steps are: write data >memu>data>data analysis>anova:one factor>enter label>ok,and following o/p obtained.

Anova: Single Factor
SUMMARY
Groups	Count	Sum	Average	Variance
no	10	43	4.3	6.9
low	10	42	4.2	5.511111
moderate	10	46	4.60	11.60
high	10	66	6.60	8.49
ANOVA
Source of Variation	SS	df	MS	F	P-value	F crit
Between Groups	38.275	3	12.758	1.570	0.2134	2.866
Within Groups	292.500	36	8.125
Total	330.775	39

H_0: µ1=µ2=µ3=µ4

H₁ : not all means are equal

F stat = 1.57

p valve =0.2134

p valve>α=0.05,do not reject Ho

there is no significant difference among different types of interaction.

No further post hoc test are required.

thanks..

please give me thumb up....