RESULTS

Table 1 provides the means and standard deviations of the variables of interest to this study and the results of a multiple regression analysis that was conducted to test the hypotheses of this study.

Table 1 Summary statistics and results of the regression analysis

	Adjusted R2	df	F	M	SD	B	SE	t	p
Regression	.365	7, 89	7.304	-	-	-	-	-	.000a
Constant				-	-	2.213	.522	4.238	.000
Instrumental attributes
Workplace atmosphere				4.32	.75	.088	.152	.577	.565
Job opportunities				4.73	.75	.390	.136	2.868	.005
Industry characteristics				4.24	.74	.275	.186	1.473	.144
Symbolic attributes
Excitement				3.78	.91	.071	.149	.474	.637
Sincerity				5.13	.80	.109	.137	.794	.429
Prestige				4.05	.81	.146	.115	1.268	.208
Subjective norm				4.98	1.13	.317	.100	3.169	.002
Employer attraction				3.71	1.23	-	-	-	-

Note. df = degrees of freedom; F = F-statistic; M = Mean; SD = Standard deviation; B = Unstandardized beta coefficient; SE = standard error; t = t-statistic; p = significance level; Scale 1-7 a. Predictors: (Constant), Workplace atmosphere, Job opportunities, Industry characteristics, Excitement, Sincerity, Prestige, Subjective norm.

b. Dependent Variable: Employer Attraction.

N= 197 (88 men and 109 women).

Questions

1.) Interpret the results of the regression analysis. Discuss:

a. the model fit;

b. the significance of the model;

c. the constant;

d. the statistical validity of the beta coefficients;

e. the face validity of the results.