SPSS Data Collection - Assignment

Data collection
Data collection is one of the most important part of the every research project. In this case the
data has been collected from 60 different firms which are based on different countries all over
the world. The data was extracted from the master data set using the random sampling method,
which is one of the most popular method for the sample selection. The data set has been provided
in separate excel sheet. The data cleaning process has been completed before importing the data
in the SPSS, such as the removal of the variable which are not required, addressing the missing
values and also coding the variables which are in string form. Results from the data analysis are
discussed in the next section.
Data analysis (Descriptive)
Results from the descriptive statistics helps the researcher to know more about the data in more
meaningful way. The most measures of the descriptive statistics are the median, mode, mean,
variance, standard deviation. Similarly the kurtosis and skewness helps to understand the
distribution of the data.
The results for the dependent variable (the disclosure score) shows that mean score is 93.31,
which is a very good score as the maximum value is 100. The median is much higher than the
mean value, similarly the mode value of 100 shows that 100 is the most frequent score in the
data set. The standard deviation of 14 suggests that the variation in the data set is not very high.
The minimum and maximum value are 0 and 100 respectively, which are also the two extreme
points.
Similarly the descriptive statistics for the independent variables, which are the factors related to
the decision board for the carbon disclosure, are also shown in the table below. The mean score
for IV1 is 270. 12 with standard deviation of 814. This suggests that there is high variation
among the firms for the second independent variable. Results for the other variables can also be
interpreted similarly.
Statistics
Disclosure
score
IV1 IV2 IV4
N Valid 60 54 54 54
Missing 0 6 6 6
Mean 93.3167 270.1290 1.1852 1.3519
Median 97.5000 11.5000 1.0000 1.0000
Mode 100.00 .00 1.00 2.00
Std. Deviation 14.83639 814.62752 .64644 .70463
Variance 220.118 663617.999 .418 .497

Skewness -4.820 3.913 -.192 -.623
Std. Error of
Skewness
.309 .325 .325 .325
Kurtosis 27.344 15.472 -.595 -.753
Std. Error of Kurtosis .608 .639 .639 .639
Minimum .00 .00 .00 .00
Maximum 100.00 3981.00 2.00 2.00
Percentiles
25 94.0000 .0293 1.0000 1.0000
50 97.5000 11.5000 1.0000 1.0000
75 99.7500 74.0750 2.0000 2.0000
Histograms