Proceedings

Table 6. Descriptive statistics for ICD_Index and Company_size
ICD_Index Company_size
N
Valid 21 21
Missing 0 0
Mean
0.1876 19.6929
Median
0.1818 19.2080
Mode
0.18 15.00
Std. Deviation
0.13161 2.03970
Skewness
0.966 0.004
Std. Error of Skewness
0.501 0.501
Range
0.42 8.53
Minimum
0.03 15.00
Maximum
0.45 23.53
a. Multiple modes exist. The smallest value is shown
As it can be observed the mean and the median in the case of both variable are very
similar which support that ICD_Index and Company size are approximately normally
distributed. In addition, the statistic skewness is < 1 (0.966 and 0.004) in both cases
which also support that the variables are normally distributed. It is true that in the case
of ICD_Index the value is very close to 1, but as long as it is lower then 1, then we
can consider as being approximately normally distributed.
Before running any inferential statistics, first we examined the relationship between
the variables to determine how to conduct the hypothesis testing analysis.
3.2.1 Testing hypothesis H1
H1: There is no relation between company size and IC disclosure
Within H1 hypothesis, the independent variable is nominal and the dependent variable
is an approximately normally distributed scale variable. Accordingly, H1 hypothesis
is a basic two variable difference hypothesis and for testing it we chose the T test. The
results of the T test are presented in the Table 7 below (since the independent samples
T test procedure compares the two group means, it is useful to know what the mean
values are so, we present their values in the Table 8). The test compares the means for
two groups of cases. We can observe that the significance value for Levene test is
high (0.147 that is greater than .05) and because of this we shall consider the results
that assume equal variances for both groups. Regarding the significance value for the
T test, we can observe it is also high (0.195 respective 0.207) and corroborated with
the fact that the confidence interval for the mean difference contains zero then we can
not conclude that there is a significant difference between the two group means. In
conclusion the results obtained don’t reject the null hypothesis H1 and thus for
Romanian companies industry type does not seam to influence IC disclosure.
Table 7. Results of T test: Group statistics
Std. Std. Error
Industry_type N Mean Deviation Mean
ICD_Index
traditional 10 0.2273 0.15402 0.04871
knowledge_intensive 11 0.1515 0.10141 0.03058
~ 410 ~