Background: Religious explanatory frameworks predominate in African contexts, where spiritual, divine, and
supernatural causation often serve as primary lenses for interpreting socioeconomic phenomena including health,
poverty, education, and economic outcomes. While religion provides undeniable spiritual and social benefits, concerns
have emerged regarding potential socioeconomic ramifications when religious attributions eclipse empirical,
structural, and systemic analyses of social challenges.
Objective: This study critically analyzed the relationship between religious explanatory primacy and socioeconomic
outcomes in African contexts, examining mechanisms through which religious attribution patterns influenced
development trajectories.
Methods: A cross-sectional study was conducted between January and August 2024 across Nigeria, Kenya, and
Ghana, employing multistage sampling to recruit 1,500 adult respondents (500 per country) from urban and rural
communities. Data were collected through structured questionnaires measuring religious explanatory primacy via a
validated 20-item Religious Attribution Scale and socioeconomic outcomes using standardized indices for healthseeking behavior, educational investment, entrepreneurial orientation, and poverty alleviation strategies. Statistical
analysis proceeded through univariate descriptive statistics, bivariate correlations and chi-square tests, and Structural
Equation Modeling (SEM) to examine direct, indirect, and moderated relationships between constructs.
Results: Univariate analysis revealed that 63.3% of respondents exhibited high religious attribution (M=73.42,
SD=15.68), with 42.1% endorsing primarily prayer-focused poverty strategies and 35.4% prioritizing spiritual over
biomedical health approaches. Bivariate analysis demonstrated significant negative correlations between religious
attribution and health-seeking behavior (r=-0.412, p

This study investigated the psychological, sociocultural, and normative determinants of spontaneous prosocial
behavior, operationalized as the intention to return a found sealed envelope containing identifiable contents to its
presumed owner. Drawing on a cross-cultural sample of 412 adult participants recruited across five culturally distinct
national contexts Uganda, Japan, Germany, Brazil, and Canada — the study employed a quantitative survey design to
examine how altruistic motivation, civic norm adherence, trust in strangers, cultural collectivism, perceived social
obligation, and prior prosocial experience predict envelope return intention. Univariate analyses revealed that altruistic
motivation (M = 3.91, SD = 0.81) and civic norm adherence (M = 3.78, SD = 0.74) were the most consistently endorsed
psychosocial constructs across the sample, while overall return intention was affirmed by 67% of respondents.
Bivariate correlation analyses demonstrated that all six predictor variables were significantly and positively correlated
with return intention, with altruistic motivation emerging as the strongest bivariate correlate (r = 0.57, p < .001).
Structural equation modelling (SEM) confirmed these relationships in a multivariate framework, with altruistic
motivation (β = 0.312), civic norm adherence (β = 0.274), and perceived social obligation (β = 0.221) emerging as the
three strongest direct predictors of return intention. Indirect pathways further revealed that cultural collectivism
influenced return intention through its effects on civic norm adherence and trust in strangers. The model demonstrated
excellent fit (CFI = 0.961; RMSEA = 0.047; SRMR = 0.051). Findings underscore the universality and cross-cultural
variability of altruistic norms, suggesting that prosocial behavior, while context-sensitive, is meaningfully anchored
in shared human motivational and normative structures. Recommendations are offered for public behavior campaigns,
educational policy, and institutional trust-building initiatives.

Electoral violence has become a defining characteristic of Uganda's political landscape, undermining democratic
development and perpetuating authoritarian governance despite the formal restoration of multiparty politics in 2005.
This study examined electoral violence as a systematic mechanism of voter discipline within Uganda's historical
context, tracing its evolution from the post-independence period through contemporary electoral cycles and analyzing
its strategic deployment, impacts, and implications for democratic consolidation. Employing a mixed-methods
research design, the study combined historical analysis of archival documents and electoral records spanning 1962 to
2023 with quantitative survey data from 1,847 respondents across ten districts representing Uganda's four major
regions, complemented by 48 in-depth interviews with key informants including electoral officials, political actors,
civil society leaders, and violence victims. Univariate analysis revealed that 36.4% of respondents personally
experienced electoral violence while 69.8% witnessed it, with intimidation and threats (59.1%) being the most
prevalent form, and state security forces and ruling party operatives collectively identified as perpetrators in over 80%
of incidents. Bivariate analysis demonstrated that violence exposure was significantly associated with demographic
and political characteristics (all p

Background: Rural Uganda experiences distinctive seasonal reverse migration patterns wherein urban-based workers
return to ancestral villages during specific periods, triggering substantial economic activity through concentrated
consumption expenditure.
Objective: This study examined the patterns, determinants, and socioeconomic impacts of seasonal reverse migration
and associated consumptive surge in rural Ugandan communities.
Methods: A mixed-methods longitudinal design was employed across four rural districts (Mukono, Masaka, Mbarara,
and Lira) between January 2024 and December 2024. The study utilized stratified random sampling to select 480
households (240 with returning migrants, 120 with non-returning migrants, 120 non-migrant households) and
conducted a census of 360 local businesses across six sectors. Data were collected through structured surveys at three
time points capturing demographic characteristics, migration patterns, household consumption expenditure, and
business revenues. Univariate analysis described variable distributions, bivariate analysis employed chi-square tests
and t-tests to compare periods and household types, and mixed effects models with random intercepts controlled for
repeated measurements and unobserved heterogeneity while examining the relationship between migration status and
expenditure, and between migration intensity and business revenue.
Results: Households with returning migrants constituted 66.7% of the sample, with returnees averaging 2.8 visits per
year and 8.7 months of urban duration. These households experienced a statistically significant 169% increase in mean
monthly expenditure during peak periods (from UGX 839,742 to UGX 2,260,152, t=-29.388, p