Geoffrey Mayoka Kituyi
Biographic Data
| ID | 6592138 |
|---|---|
| NAME | Geoffrey Mayoka Kituyi |
| GIVEN NAMES | Geoffrey Mayoka |
| FAMILY NAME | Kituyi |
| SIGNATURE | KITUYI G M |
| AFFILIATIONS | Makerere University |
| ORCID | 0000-0002-7528-2175 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Social media and the mental health of university students in Sub-saharan Africa
This study applied social learning theory to understand how university students learned new health behaviors that impact their mental health through social media use. A cross-sectional research design was adopted with quantitative research methods to conduct the study. Data were collected using online questionnaires from a sample of 453 university students in Cameroon, Uganda and Nigeria. Data were analyzed using descriptive statistics, multiple …
Towards Use of Capability, Opportunity and Motivation Model in Predicting Ugandan Citizens’ Behavior towards Engagement in Policy Formulation through E-participation
Though the government of Uganda has put in place a fully-fledged ministry of ICT and allowed citizens to electronically participate in policy formulation following article 37 of the constitution of Uganda, most citizens are still reluctant. This reluctance has led to limited participation and formulation of unrepresentative policies, loss of citizens’ trust in government, and defiance of formulated policies. This study’s focus was to apply the ca…
Relevant local content, social influence, digital literacy, and attitude toward the use of digital technologies by women in Uganda
This study sought to examine the relationship between relevant local content, social influence, digital literacy and the attitude of women toward the use of digital technologies in Uganda. Quantitative research methods were used to collect, analyze and present the data from a sample of 384 women across Uganda. Data were analyzed using frequencies, percentages, factor analysis, correlation and regression analysis methods. Findings reveal a positiv…
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Relevant local content, social influence, digital literacy, and attitude toward the use of digital technologies by women in Uganda
This study sought to examine the relationship between relevant local content, social influence, digital literacy and the attitude of women toward the use of digital technologies in Uganda. Quantitative research methods were used to collect, analyze and present the data from a sample of 384 women across Uganda. Data were analyzed using frequencies, percentages, factor analysis, correlation and regression analysis methods. Findings reveal a positiv…
Towards Use of Capability, Opportunity and Motivation Model in Predicting Ugandan Citizens’ Behavior towards Engagement in Policy Formulation through E-participation
Though the government of Uganda has put in place a fully-fledged ministry of ICT and allowed citizens to electronically participate in policy formulation following article 37 of the constitution of Uganda, most citizens are still reluctant. This reluctance has led to limited participation and formulation of unrepresentative policies, loss of citizens’ trust in government, and defiance of formulated policies. This study’s focus was to apply the ca…
Social media and the mental health of university students in Sub-saharan Africa
This study applied social learning theory to understand how university students learned new health behaviors that impact their mental health through social media use. A cross-sectional research design was adopted with quantitative research methods to conduct the study. Data were collected using online questionnaires from a sample of 453 university students in Cameroon, Uganda and Nigeria. Data were analyzed using descriptive statistics, multiple …
Political science (3 works) · Psychology (3 works) · Computer Science (2 works) · Public relations (2 works) · Social media (2 works) · Social Psychology (2 works) · Applied Psychology (1 work) · Applied Psychology (1 work) · Biostatistics (1 work) · Business (1 work)