Page 425 - RUICHSS 2023 Proceeding

University of Ruhuna ISSN: 2706-0063
Matara, Sri Lanka

The Chi-Square test value was calculated to find out if there is a correlation between the two

variables- gender and vlog watching. Thus, the value of p calculated = 0.03 (Sig.1), which means
there is a correlation between the two variables since the value is less than 0.05. The

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conclusion is that there are more females watching vlogs compared to males (x =4,354,
df=1, p=0.036), as presented in Table 5.

Table 5: Chi-Square Tests
Chi-Square Tests

Asymptotic

Significance Exact Sig. (2- Exact Sig. (1-
Value df (2-sided) sided) sided)

a
Pearson Chi-Square 4.354 1 .037
Continuity 3.381 1 .066

b
Correction
Likelihood Ratio 4.112 1 .043

Fisher's Exact Test .048 .036
N of Valid Cases 218

a. 0 cells (.0%) have an expected count of less than 5. The minimum expected count is

6.79.
b. Computed only for a 2x2 table

7. Conclusions

The paper aimed to clarify the directions that the vlogging phenomenon covers in the field

of education, yet, a theoretical framework for the subject was constructed by presenting the

perspectives of authors who have delved into this topic.

In the research phase, the impact of vlogging as a tool in the education process was measured

through quantitative research. The research achieved the defined three objectives by tracking

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