TWO WAY ANOVA ON SPSS software

Two way ANOVA

In statistics, the two-way analysis of variance is an extension of the one way  ANOVA, which examines the influence of two distinctly independent variables on the one hand. The purpose of the two-way ANOVA is not only to examine the main effect of each independent variable, but also if there is an interaction between them.

SPSS presentation of Two way ANOVA

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

STEP # 02: Click analyze on the tool bar, select General Linear Model, and click on Univariant.

            Analyze > General Linear Model > Univariant.

STEP # 03 

     Univariate 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 left of the dependent variable and the independent variable (gender and profession) and move the variable to the Fixed Factor box. Click the arrows to move.

ü  STEP 4 click on plots…

Transfer the independent variable (gender), from the factor box into the horizontal Axis box and other independent variable (occupation) into separate line box. Then click on the add, we will see gender* occupation. Now click continue.

STEP 5 post Hoc…

Click on the Post Hoc , Now transfers the variables from factor box to Post Hoc Test box. Then click on the Tukey and then click on continue.

STEP 6 click on option

Transfers the variables into display mean for box, Then click on descriptive statistics. Now click continue

STEP 7 click OK

 

TABLES

Descriptive Statistics
Dependent Variable:   self-esteem total
Gender	Occupation	Mean	Std. Deviation	N
Female	Student	24.6623	4.12824	77
	Businessman	26.2222	3.99346	18
	Employee	24.0833	5.48483	12
	Housewife	22.6552	3.93043	29
	Artist	22.0000	.00000	2
	Teacher	22.0000	2.00000	6
	Total	24.2569	4.22074	144
Male	Student	23.6512	4.56783	86
	Businessman	24.9762	3.65252	42
	Employee	24.8889	3.48010	9
	Housewife	26.1667	4.53505	6
	Teacher	23.5000	5.19615	4
	Shopkeeper	23.1429	3.02372	7
	Doctor	18.0000	.00000	2
	Total	24.0769	4.26469	156
Total	Student	24.1288	4.38171	163
	Businessman	25.3500	3.76795	60
	Employee	24.4286	4.64297	21
	Housewife	23.2571	4.18922	35
	Artist	22.0000	.00000	2
	Teacher	22.6000	3.43835	10
	Shopkeeper	23.1429	3.02372	7
	Doctor	18.0000	.00000	2
	Total	24.1633	4.23751	300

 

Tests of Between-Subjects Effects
Dependent Variable:   self-esteem total
Source	Type III Sum of Squares	Df	Mean Square	F	Sig.
Corrected Model	363.106a	12	30.259	1.735	.059
Intercept	32907.194	1	32907.194	1886.650	.000
Gender	13.831	1	13.831	.793	.374
Occupation	227.169	7	32.453	1.861	.076
gender * occupation	115.969	4	28.992	1.662	.159
Error	5005.891	287	17.442
Total	180529.000	300
Corrected Total	5368.997	299
a. R Squared = .068 (Adjusted R Squared = .029)

CONCLUSIONS

After performing these steps you will have tables about two way ANOVA that are further used for discussion of results.