Research Article
School Type, Location and Gender as Predictors of Secondary School Students’ Attitude Toward Physics in Akwa Ibom State, Nigeria
Daniel Effiong Uboh*
,
Francis Nichols Inyang,
Andrew Umo Abasi,
Uduak James Utibe
Issue:
Volume 15, Issue 3, June 2026
Pages:
81-87
Received:
6 January 2026
Accepted:
15 January 2026
Published:
29 May 2026
Abstract: Students’ attitudes toward physics play a crucial role in shaping their engagement, interest, and disposition toward learning the subject at the secondary school level. Despite the importance of physics to scientific and technological development, negative attitudes toward the subject persist among many students. This study examined the extent to which school type, school location, and gender predict secondary school students’ attitudes toward physics in Akwa Ibom State, Nigeria. The study adopted an ex-post facto descriptive survey design. A multistage sampling technique was used to select a sample of senior secondary school students offering physics. Data were collected using a validated Students’ Attitude Toward Physics Questionnaire (SATPQ), which yielded a reliability coefficient of 0.82 using Cronbach’s Alpha method. Mean and standard deviation were used to answer the research questions, while Analysis of Variance (ANOVA) was employed to test the hypotheses at 0.05 level of significance. The findings revealed that school type and school location significantly influenced students’ attitudes toward physics, while gender had no significant influence. There was no significant interaction effect among school type, school location, and gender on students’ attitudes toward physics. The study concluded that school-related factors are more critical than gender in shaping students’ attitudes toward physics. It was recommended that efforts be made to improve physics learning environments, particularly in public and rural schools.
Abstract: Students’ attitudes toward physics play a crucial role in shaping their engagement, interest, and disposition toward learning the subject at the secondary school level. Despite the importance of physics to scientific and technological development, negative attitudes toward the subject persist among many students. This study examined the extent to w...
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Research Article
Modelling Malaria Incidence Using Poisson Generalized Linear Model: A Case Study Of Mbita Sub-County, Kenya
Issue:
Volume 15, Issue 3, June 2026
Pages:
88-103
Received:
12 May 2026
Accepted:
22 May 2026
Published:
12 June 2026
DOI:
10.11648/j.ajtas.20261503.12
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Abstract: Malaria continues to pose a major threat to public health across the world, particularly in African countries where infection rate s remain high. Nearly half of the global population is exposed to the risk of contracting the disease. Malaria is caused by parasites belonging to the Plasmodium family and affects both humans and other warm-blooded animals. Over the years, researchers have explored different causes of malaria transmission using techniques such as spatial analysis, time series methods and regression models. Although these methods are useful, they are less suitable when the data set involved are categorical or count variables. This study used Poisson Generalized Linear Model to investigate factors associated with malaria incidence in Mbita Sub-county. The variables considered included treated mosquito bed net use, age group, educational level of household heads and access to healthcare services. The Poisson Generalized Linear Model was fitted having estimated its parameters. The findings showed that treated mosquito net usage, age group, and access to healthcare facilities were statistically significant. The educational background of the household head was not significant. The association between the exploratory variables and the response variable was determined by use of the Chi-square test.The results indicated that there was an association between mosquito bed net use and malaria, age group and malaria, education level of family head and malaria and finally healthcare access and malaria. The goodness of fit was conducted by the use of deviance statistic. A comparison between the null model and the full model was done and this resulted into a p-value of 0.001871, which was below the 0.05 significance threshold. As a result, the null hypothesis was rejected, indicating that additional exploratory variable improve the model. This suggests that the full model together with additional parameters significantly improves the fit of the model to the data. The study’s findings reinforce existing evidence that the use of treated mosquito bed net use plays an important role in lowering malaria infections. organizations that handle matters in relation to health and environment such as World Health Organization and United Nations may apply the outcome to aid in developing mechanisms to lower the spread of malaria within Mbita Sub-county and other parts of the world with similar settings.
Abstract: Malaria continues to pose a major threat to public health across the world, particularly in African countries where infection rate s remain high. Nearly half of the global population is exposed to the risk of contracting the disease. Malaria is caused by parasites belonging to the Plasmodium family and affects both humans and other warm-blooded ani...
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