ONE WAY ANOVA ON SPSS software

One way anova

In statistics, one-way analysis of variance is a technique that can be used to compare sources of two or more samples (using the F distribution). ANOVA is used to test for difference among at least three groups, since the two groups case can be covered by a t-test (Gosset,1908). When there are two means to compare, the t-test and the f-test are equal. The relationship between ANOVA and t is given by F= t².

One way ANOVA STEPS ON SPSS

The following are detailed instructions for using SPSS to perform the single factor, Independent- Measures Analysis of Variance (ANOVA).  

STEP 1: Open SPSS sheet having data on which the research is conducted, DATA entry  

STEP 2: Click analyze on the tool bar, select Compare Means and click on One-Way ANOVA.

Analyze  >  Compare Means  >  One-Way ANOVA

STEP 3: Add variables to the list

Highlight the dependent variable (self-esteem) in the left box and click the arrow to move this variable to the dependent variable in the list box and into the left box, and click the arrow to move this variable to the element box. 

STEP 4: Select Post Hoc….

STEP 5: Select Tukey  >  continue.

STEP: 6 option   >  descriptive  >  continue

STEP 7: click OK

Table

Descriptive
Self esteem (dependent variable)
	N	Mean	Std. Deviation	Std. Error	95% Confidence Interval for Mean		Minimum	Maximum
					Lower Bound	Upper Bound
Female	144	24.2569	4.22074	.35173	23.5617	24.9522	15.00	35.00
Male	156	24.0769	4.26469	.34145	23.4024	24.7514	13.00	38.00
Total	300	24.1633	4.23751	.24465	23.6819	24.6448	13.00	38.00

ANOVA
Self-esteem (dependent variable)
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	2.427	1	2.427	.135	.714
Within Groups	5366.570	298	18.009
Total	5368.997	299

CONCLUSION 

After following steps mentioned above, you will have 2 tables for one way Anova. From these tables futher decision about effect of independent variable on dependent variables has to be made.