Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

Data analysis of respondents.

More »

Table 1 Expand

Table 2.

Cronbach’s Alpha to measure the reliability of the questionnaire.

More »

Table 2 Expand

Fig 1.

Percentage frequency of social media (SM) users for e-participation in the selected geopolitical zones.

More »

Fig 1 Expand

Fig 2.

The skewness of the percentage frequency of the mean is based on the Likert scale of social media users for e-participation.

More »

Fig 2 Expand

Table 3.

Skewness and deviation of the e-participation on social media.

More »

Table 3 Expand

Table 4.

Standard deviations of e-participation and government trust.

More »

Table 4 Expand

Table 5.

Standard deviation of gender, age, employment, geopolitical zone, Twitter users, e-participation, and government trust.

More »

Table 5 Expand

Table 6.

Correlation matrix between all variables.

More »

Table 6 Expand

Table 7.

Correlation matrix between all variables.

More »

Table 7 Expand

Table 8.

Correlation matrix between all variables.

More »

Table 8 Expand

Table 9.

Correlation matrix between all variables.

More »

Table 9 Expand

Table 10.

Correlation between the variable groups.

More »

Table 10 Expand

Table 11.

The Kaiser–Meyer–Olkin (KMO) and Bartlett’s test results.

More »

Table 11 Expand

Table 12.

Communalities table.

More »

Table 12 Expand

Fig 3.

Scree plot.

More »

Fig 3 Expand

Table 13.

Total variance explained for variables.

More »

Table 13 Expand

Table 14.

Rotated component matrix for factors loaded together.

More »

Table 14 Expand

Table 15.

Paired samples statistics of e-participation and most Twitter users.

More »

Table 15 Expand

Table 16.

Correlation between e-participation and most Twitter use.

More »

Table 16 Expand