Percent Level Of Significance Research Articles

Intrinsically Ties Adjusted Median Test for Determining the Lengths of Hospitalization of Sampled Patients with Hypertension and Malaria in A Population

Background: This paper proposes and presents a nonparametric statistical method for the analysis of two sample data that intrinsically and structurally adjusts the test statistic, for the possible presence of tied observations in the sample populations. Methodology: The proposed procedure makes it unnecessary to require the populations to be continuous as is often the case with some other methods. The populations may be measurement on as low as the ordinal scale and need not be continuous or even numeric. In situations where the original or initial null hypothesis is rejected, test statistics are developed to help determine which of the two populations of interest may be responsible for the rejection of the null hypothesis, an approach that is not possible for some other existing two sample median test. Results: The proposed method is illustrated with some sample data and shown using the data to compare favorably with the usual median test and the Mann-Whitney U-test that could be used for the same purpose. Result showed that we rejected the null hypothesis, that hypertension and malaria patients from the population admitted to a hospital for treatment do not have equal median lengths of hospitalization for hypertension and malaria. Since The Chi-square value for testing the null hypothesis that the median length of hospitalization of hypertension patients in the population is equal to the median length of hospitalization of both hypertension and malaria patients in the population when pooled together as one population, is which with 1 degree of freedom is not statistically significant at the 5 percent significance level leading to the non-rejection of the null hypothesis. the Chi-Square value for testing the same null hypothesis with respect to malaria patients, that is that the median length of hospitalization of malaria patients in the population is the same as the median length of hospitalization of the combined or pooled population of hypertension and malaria patients when combined and treated as one population is which with 1 degree of freedom is statistically significant at the 5 percent significance level leading to the rejection of the null hypothesis. Conclusions and recommendations: We conclude that hypertension and malaria patients in the population do not have equal median lengths of hospitalization. We may therefore conclude that the median length of hospitalization of malaria patients is statistically different from the median length of hospitalization of both hypertension and malaria patients in the sampled population and may hence be responsible for the rejection of the initial null hypothesis H0 of Equation 11 or 12 of equal population median lengths of hospitalization of the two types of patients in the sampled population. since the Chi-square value of obtained using the proposed modified ties adjusted median test for two samples is much larger than the Chi-square value of obtained using the usual ordinary unmodified ties unadjusted two sample median test, the proposed method is likely to correctly reject a false null hypothesis more often and hence is more powerful than the ordinary median test when used to analyze the same sample observations.

Analysing the Impact of Minimum Wage Laws on Low-Income Workers in Selected Government Ministries, Agencies, Departments and Parastatals in Benue State

This study analyzed the Impact of Minimum Wage Laws on Low-Income Workers in Selected Government Ministries, Agencies, Departments, and Parastatals in Benue State. It specifically examined the impact of the National Minimum Wage Act on Minority Workers as well as the impact of the Labour Act on Rural Workers in selected government MDAs in Benue State. The target population is 2,803 and a sample size of 338 was derived from Krejcie and Morgan method. The hypotheses were tested with simple linear regression analysis on Statistical Packages for Social Science (SPSS) at a 5 percent significant level. Hypothesis one revealed a statistically significant negative impact of the National Minimum Wage Act on minority workers in selected government MDAs in Benue State. Hypothesis two showed that there is a strong negative impact of the Labour Act on Rural Workers in selected government MDAs in Benue State. The study concluded that there is a statistically significant negative impact of impact of minimum wage laws on low-income workers in selected government ministries, agencies, departments and parastatals in Benue State. It was recommended that policymakers need to review and adjust the National Minimum Wage Act to ensure fair compensation for minority workers in government MDAs by conducting wage audits and aligning wages with the local cost of living. Also, the government needs to revise the labour to address the unique challenges of rural workers in government MDAs by implementing region-specific policies and stronger enforcement mechanisms.

Variables Influencing Participants’ Choice of Training Institutions for Training Program

This study compares variables influencing Participants’ choice of training institutions for participant program in Kathmandu Valley. Choice of training institutions for training program is taken as dependent variable. Costs, locations, academic career goal, training institutions affiliations and environment are independent variables. The primary sources of data are utilized to reach the opinions of respondents with respect to choice of training institution for training program in Kathmandu Valley. The survey is based on one hundred respondents. To obtain the purpose of the study, structured questionnaires are framed. The regression models are projected to trial the significance and impact of variables affecting choice of the training institutions for training program in Kathmandu Valley. The result shows that location, environment and Training Academic affiliation are positively connect to choice of training institutions for training program. It signifies that better the environment and Training Academics affiliation higher would be the choice of liked training institutions. The result also shows that more proper the location of the training institutions, greater is the chance of selecting the training institutions for training program. The regression result shows the cost, environment and training institutions affiliation have positive impact on choice of training institutions for training program. In the same manner, the beta coefficients for carrier goal and locations have significant positive impact of the selecting training institutions for training program, which is significant at 5 percent level of significance. Overall, the selecting of training institutions for training program in Kathmandu Valley is affected by the carrier goals followed by the location.

The Mechanization Trend and Economic Prospects of Micro Irrigation in India

Agriculture plays a crucial role in the Indian economy, contributing nearly 16 percent to the total GDP, with farm mechanization serving as the backbone of agricultural GDP. This study analyzes the growth trend in agricultural mechanization in India by examining the shift from traditional human and animal-powered equipment to mechanically powered farm equipment like tractors and power tillers, which are vital for farm mechanization. Secondary data from 2004-2005 to 2021-2022 were used, and the compound annual growth rate (CAGR) and correlation analyses were performed to assess trends. The study found a 6.78 percent annual growth in tractor purchases, with a linear trend equation showing a 0.93 coefficient of determination (R²) at a 1 percent significance level, and a Pearson correlation coefficient of 0.76, indicating a strong correlation between tractor and power tiller purchasing trends. Precision farming, a type of farm management that uses information technology to optimize crop and soil health and productivity while minimizing production costs, is increasingly adopted due to advancements in mechanization. In India, precision farming techniques like drip and sprinkler micro-irrigation, covering 13,476,804 hectares with 46.90 percent under drip and 53.09 percent under sprinkler, have proven beneficial, especially in water-scarce areas. Precision farming is practiced mainly by medium to large progressive farmers, often experimentally or commercially, and offers profitable returns when applied to high-value crops such as fruits, vegetables, flowers, and medicinal plants.

Mode of Instructional Delivery and Students’ Academic Performance in Mathematics and Non-mathematics Courses

This paper seeks to establish whether there is a statistically significant difference in students’ academic performance in mathematics and non-mathematics courses using face-to-face, online, and blended instruction. The study is quantitative research and employs a case study approach covering 603 students at the Catholic University of Ghana. The paired sampled t-test is adopted to analyze the data set. The study found that at a 5 percent significant level, there is no statistically significant difference in students’ academic performance in mathematics and non-mathematics courses using face-to-face instruction. Conversely, a statistically significant difference exists in students’ academic performance in mathematics and non-mathematics courses using online and blended instructions. The study concludes that non-mathematics courses can be best taught using online instruction whereas mathematics-related courses can best be taught using blended instruction. However, face-to-face instruction leads to no difference in students’ academic performance.

Impact of workforce diversity on organizational performance of Nepalese insurance companies

This study examines the impact of workforce diversity on the organizational performance of Nepalese insurance companies. Organizational performance is the dependent variable. The selected independent variables are age diversity, cultural diversity, education diversity, experience diversity, gender diversity and marital diversity. The primary source of data is used to assess the opinions of respondents regarding workforce diversity in Nepalese insurance companies. The study is based on primary data with 125 respondents. To achieve the purpose of the study, structured questionnaire is prepared. The correlation coefficients and multiple regression models are estimated to test the significance and importance of workforce diversity on the organizational performance in Nepalese insurance companies. The study showed that age diversity has a positive impact on organizational performance. It indicates that age diversity in the workforce leads to increase in organizational performance. The result also revealed that education diversity has a positive impact on organizational performance. It indicates that education diversity in the organization leads to increase in organizational performance. Similarly, experience diversity has a positive impact on organizational performance. It indicates that experience diversity among the employees leads to an increase in organizational performance. Likewise, gender diversity has a positive impact on organizational performance. It indicates that the diverse gender in the organization leads to increase in organizational performance. Further, cultural diversity has a positive impact on organizational performance. It implies that workforce of diverse cultural background leads to increase in organizational performance. Moreover, martial diversity has a positive impact on organizational performance. It reveals that diverse marital status in the workforce leads to an increase organizational performance of Nepalese insurance companies. The regression also showed that the beta coefficients are positive for age diversity, cultural diversity, education diversity, experience diversity, gender diversity and marital diversity and are significant for all the independent variables at one percent level of significance.

Parental Perception of the Impact of Television Advertisements on Children’s Buying Behavior: A Case of Kathmandu Valley

This study examines the parental perception of the impact of television advertisements on children’s buying behavior in Kathmandu Valley. Buying behaviour is the dependable variable. The independent variables are television advertisement, marketing, child responsiveness, price, taste and parent potential. The primary source of data is used to assess the opinions of the respondents regarding the parental perception of the impact of television advertisements on children’s buying behavior in Kathmandu Valley. The study is based on primary data of 130 respondents. To achieve the purpose of the study, structured questionnaire is prepared. The correlation coefficients and regression models are estimated to test the significance and importance of television advertisement, marketing, child responsiveness, price, taste and parent potential on children’s buying behavior in Kathmandu Valley. The study showed that television advertisement has a positive impact on buying behaviour. It indicates that creative and innovative television advertisement impulse children buying behavior. Similarly, marketing has a positive impact on buying behaviour. This implies that effective marketing concerning children’s stimulates children buying behavior. Likewise, child responsiveness has a positive impact on buying behaviour. It indicates that child responsiveness content on the advertisement impulse children buying behavior. Similarly, parental potential has a positive impact on buying behaviour indicating that parental potential stimulates children buying behavior. Moreover, price has a positive impact on buying behaviour. It indicates that higher price for the product stimulates children buying behavior. Similarly, taste has a positive impact on the buying behavior. It shows that the good taste attracts children to buy products. The regression result also that beta coefficients are significant for television advertisement, price, parental potential and taste at one percent level of significance.

Factors influencing affinity of eSewa-Mobile Wallet: A case study in Kathmandu Valley

This study examines the factors influencing user’s affinity of eSewa (mobile wallet) in Kathmandu Valley. User’s affinity towards eSewa is the dependent variable. The selected independent variables are transaction convenience, compatibility, ease of use, perceived security, perceived trust and rewards and offers. The primary source of data is used to assess the opinions of respondents regarding transaction convenience, compatibility, ease of use, perceived security, perceived trust and rewards and offers provided by mobile wallet in Kathmandu Valley. The study is based on primary data of 123 respondents. To achieve the purpose of the study, structured questionnaire is prepared. The correlation and multiple regression models are estimated to test the significance and importance of transaction convenience, compatibility, ease of use, perceived security, perceived trust and rewards and offers on user’s affinity towards eSewa mobile wallet. The study showed a positive impact of transaction convenience on user’s affinity. It indicates that providing transaction convenience to the users leads to increase in user’s affinity towards eSewa. The study showed a positive impact of compatibility on user’s affinity. This implies that compatible system leads to the increase in user’s affinity towards eSewa. The study also revealed a positive impact of ease of use on user’s affinity. It implies that user friendly system leads to increase in user’s affinity towards eSewa. Likewise, the study observed a positive impact of perceived security on user’s affinity. It indicates that secured system leads to increase in user’s affinity towards eSewa. Similarly, the study observed a positive impact of perceived trust on user’s affinity. It implies that higher level of trust towards the mobile wallet drives user’s affinity towards eSewa. Rewards and offers has a positive impact on user’s affinity. It shows that the frequent rewards and offers stimulates user’s affinity towards eSewa mobile wallet. The regression also shows that the beta coefficients are positive for transaction convenience, compatibility, ease of use, perceived security, perceived trust and rewards and offers are significant for all the independent variables at one percent level of significance.

Exploring the Impact of Remittance and Economic Growth on Inflation

This study investigates the influence of remittance income and economic growth on the inflation rate in South Asian Association for Regional Corporation (SAARC) countries. Remittance inflows have a double effect on the economy’s inflation rate: firstly, it increases consumer spending capacity, driving up demand for goods and services, which can lead to higher prices; secondly the influx of foreign currency can cause local currency appreciation, raising import costs and contributing to inflation. While previous studies have focused primarily on how inflation hinders economic growth, this study seeks to understand how economic growth causes inflation from the other side. Economic growth boosts consumer and business spending, increasing demand for goods and services, which can increase prices. Furthermore, higher demand for resources and labor can raise production costs, further contributing to inflation. The correlation between remittance income and inflation has been extensively documented, but the impact of economic growth on inflation remains to be determined. The study is based on descriptive and exploratory research design and driven by a positivist research philosophy. The present study is based on secondary data collected from World Bank reports and the countries’ economic surveys. This study uses an unbalanced panel dataset of 272 data points from eight member countries of SAARC. Basic econometric techniques such as covariance analysis, panel unit root testing, panel autoregressive distributed lag model, and scaled coefficient analysis are employed. The remittance income is only statistically significant at the 10 percent significance level. A one percent increase in remittance income leads to a 0.284 percent increase in inflation over the long run. The growth rate of gross domestic product plays a crucial role in setting inflation. One percent rise in gross domestic product growth leads to a 0.3405 percent increase in inflation in the long term. The error correction term exhibits a negative and statistically significant relationship. The coefficient size suggested that around 65.14 percent of the disequilibrium was rectified in each cycle. The current year’s lagged gross domestic product growth negatively and statistically significantly impacts economic growth. One percent rise in gross domestic product growth led to 0.3308 percent fall in inflation in the short term across SAARC countries. The results indicate that remittance income has a minimal long-term effect on inflation in SAARC nations, whereas gross domestic product growth substantially impacts inflation. Policymakers should prioritize promoting sustainable economic growth to mitigate inflationary pressures effectively.

Mapping and projecting spatiotemporal trends in groundwater levels and flow direction in Pakistan's water-scarce aquifer system

Groundwater is the most vital and reliable source of fresh water globally. This study examined the variability in Depth to Water table (DTW) below ground level in agriculture-dominated Bari interfluve, Pakistan. Observing water levels empowers access and management of water resources ensuring long-term availability. Changes in the DTW were observed by preparing spatiotemporal maps using piezometric data for both pre-monsoon and post-monsoon seasons by five-year difference intervals from 2005 to 2020. Piezometric observations offer more precise real-time monitoring of subsurface water levels. The trend of the groundwater table was analyzed by non-parametric methods i.e., Mann-Kendall (MK) and Sen's slope estimator in all observation wells of districts at a significance level of 5 percent for sustainable groundwater resource management. The resulting trend of fluctuating water table showed a progressive decline in water level in all districts except a minor increase was also noticed. The seasonal fluctuation (between pre-monsoon and post-monsoon seasons) showed that the average DTW was found to be high in 46% of the total tehsils in the post-monsoon season while in 42% it was low and 12% depicted no change compared to pre-monsoon season. Piezometric observation points of DTW exhibiting a trend at a 5 percent significance level were used to project future water table depths that indicated a further alarming depleting trend for both the pre-monsoon and post-monsoon seasons in lower districts of Bari interfluve. The groundwater pattern calls for precautionary measures to see a reversal in trend or even maintain the groundwater levels for future needs.

ENCOURAGING INTENTION IN SUSTAINABLE ENTREPRENEURSHIP THROUGH CSR SUPPORTING MECHANISMS

As an effort to pursue the achievement of sustainable development goals (SDGs) in higher education, this study identifies the potential for growing student interest in sustainable entrepreneurship. The basic idea in this study is to involve corporate social sustainability (CSR) as a support for forming interest in prospective and new entrepreneurs in this model. For this reason, the goal of this research is to identify the relationship between perceived CSR support and students' intentions for sustainable entrepreneurship. Entrepreneurial students were selected as a sample (n=90) using a convience sampling method. The validity and reliability testing indicate that the six indicators of sustainable entrepreneurial intention are valid and reliable. The same results occurred for ten indicators of perceived CSR support. Results show a significant influence of perceived CSR support on sustainable entrepreneurial intention. The path coefficient produces a t-statistical value (16.735) with a p-value (0.000) so that the hypothesis is accepted at the 5 percent significance level. The regression results produce an R-square of 0.665 with an adjusted R-square of 0.661, thus depicting a relatively large contribution in forming sustainable entrepreneurial intention. The contribution of other factors was identified as 43.90 percent in forming this intention. These results are in accordance with the theory of planned behavior, theory of triple bottom line, and theory of pyramid CRS. The supporting realizes a balance between achieving economic growth, social welfare, and environmental sustainability. The formation of good perceptions regarding CSR support indicates that this mechanism is one of the entrepreneurial ecosystems that can be relied upon to support an atmosphere of sustainability in entrepreneurial learning and practice. As a suggestion, it is necessary to increase stakeholder involvement in education sector so that it will be in line with the SDGs agenda in 2030.

Water stress affect water relations, photosynthesis and oxidative defense mechanism in wheat (Triticum aestivum L.)

Water stress is a major obstacle to agricultural production, significantly impacting both yield and quality. During the 2017–18 crop year in Shahriar region near Tehran, Iran, known for its dry and cold climate, a study was conducted to examine the influence of different irrigation levels on the quantitative and qualitative characteristics of various wheat cultivars. The experiment involved three irrigation levels: normal irrigation (control), withholding irrigation at the flowering stage, and withholding irrigation at the seed-filling stage as primary factors, with 21 different cultivars as secondary factors. The analysis showed that irrigation, cultivar type, and their interactions had a significant effect on grain yield, proline, total chlorophyll, carbohydrate content in the first and second internodes during flowering and ripening, as well as on SOD, CAT, GPX, MDA, DT, and D-OH-dG levels at a one percent significance level. Withholding irrigation at the flowering stage had a more severe impact compared to the seed-filling stage. The Rakhshan and Sivand cultivars yielded the highest and lowest grain yields under normal irrigation conditions, while the drought-tolerant Ofogh cultivar showed lower yields when irrigation was withheld at the flowering stage. Water stress led to increased proline levels and higher levels of SOD, CAT, MDA, DT, and D-OH-dG in wheat cultivars. The Rakhshan and Sivand cultivars were identified as drought-tolerant in this region.

Rapid assessment of public interest in drought and its likely drivers in South Africa.

The monthly search volumes for drought were extracted from Google® for South Africa using the Keywordsevery-where.com plugin from January 2004 until June 2022. To identify the potential qualitative drivers for such public interest the following data extracted by the plugin were investigated and analysed: the drought-related keywords, the long-tail keywords similar to drought, and the "people also searched for category" from the South African users. The Google Trends monthly score was extracted for South Africa and the Eastern Cape Province, and specific local municipalities/towns/cities in the province. The aim was to assess the relative significance of the drought interest in comparison to public interest in other search terms. The results of the Kruskal-Wallis analyses of variance by ranks showed that there was a statistically significant difference between individual values of the monthly search volumes for drought in South Africa, as a function of time of data extraction (5 percent level of significance; p-value ≤ 4.7 × 10-14). The monthly search volumes increased with time, which is based on the results of the Mann-Kendall test at a 5 percent level of significance (p-value ≤ 0.0092). Analyses of the Google Trends scores indicate that the relative interest in drought in South Africa and the Eastern Cape Province increased with time between January 2004 and June 2022 (the Mann-Kendall test at a 5 percent level of significance; p-value = 0.0011). The population's searches for drought were relatively low when compared to other search terms on Google. Drought adaptation of the South African community could be considered a driver of the Google searches for drought, but it is a marginal topic compared to other topics in Google searches. It might be necessary to increase this significance by investigating the "Google-search patterns for droughts" in the areas of Tshikaro, Mafusini, Cofimvaba, and Nxotsheni in the Eastern Cape Province of South Africa.

INFLUENCE OF SCHOOL ENVIRONMENT ON INCLUSION OF LEARNERS WITH VISUAL IMPAIRMENT IN REGULAR PUBLIC PRIMARY SCHOOLS IN NYATIKE SUB-COUNTY, MIGORI COUNTY, KENYA

Inclusion of learners with disability is necessary for improving their enrolment and ensuring that their academic goals and objectives are met. Consequently, teachers and stakeholders have to identify any barriers that can deter the learners from achieving these goals. Interestingly, in Nyatike Sub-County, enrolment of learners with visual impairment in regular public primary schools has remained low at 10.1 percent compared to 33.6 percent in Suna East Sub-County, 24.8 percent in Suna West Sub-County and 31.5 percent in Uriri Sub-County for the years 2019 to 2023. Besides, the literacy level of learners with visual impairment is lower than the levels of learners with hearing and intellectual impairment in Nyatike Sub-County. Therefore, the study sought to find out the influence of the school environment on the inclusion of visually impaired learners in regular public primary schools in Nyatike Sub-County. Maslow’s hierarchy of needs theory was used to explain the roots of inclusion. A sample size of 98 (ninety-eight) respondents comprising 46 head teachers and 52 classroom teachers was selected using saturated and purposive sampling techniques. Pearson’s correlation, regression analysis,and ANOVA were used to analyse infferential data while qualitative data was transcribed and analyzed based on emerging themes and used for triangulation. The study established that at a 5 percent level of significance; the school environment significantly influenced the inclusion of learners with visual impairment, and accounted for 18.4% of the variation in inclusion of learners with visual impairment in regular primary schools. From the findings, it was concluded that the school environment (r= .433, p< .05) has a significant positive and moderate influence on the inclusion of visually impaired learners in regular public primary schools in Nyatike Sub-County, Migori County, Kenya. The study recommends that school administration mobilize more teaching and learning resources for learners with visual impairment. The study is significant to policymakers in the educational sector to develop a framework that links the inclusion of learners with visual impairment and their success in educational achievement.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/lit/0758/a.php" alt="Hit counter" /></p>

Asymmetric effect of environment tax and spending on CO2 emissions of European Union.

This study investigates the effects of environmental tax and environmental spending on CO2 emissions of 27 countries of the European Union EU27 countries using annual time series data from 1995 to 2022. The study used linear and non-linear autoregressive distributive lag (ARDL and NARDL) to examine the relationship. Estimates claim that the variables have a symmetric and asymmetric long-term and short-term relationship. The negative impacts of environmental taxes on CO2 emissions prove that emissions are reduced when polluting activities are taxed. Fiscal policy instrument such as taxation changes the behaviour of the private sector in the EU27 nations by disincentivizing polluting activities. On the other hand, government investment in environmental protection has encouraged the private sector in the EU27 nations to embrace and invest in green technologies, decreasing CO2 emissions. The ECM term is negative and statistically significant at a 1 percent significance level for ARDL and NARDL models, implying a stable long-run relationship between variables. It demonstrates that short-run disequilibrium converges to long-run equilibrium at a speed of 9.2% (in the ARDL model) and 22.7% (in the NARDL model). The study also sheds fresh light on the effectiveness of environmental taxes vs. expenditure, where taxes serve as a counter-incentive policy for CO2 emissions, and spending is a positive policy intervention.

Impact of Domestic Investment on Economic Growth in Nigeria

This study investigated the impact of domestic investment on economic growth in Nigeria from the period 1990 to 2022. The dimensions that were used to proxy the independent variable are domestic investment, total exports, interest rate and inflation while real gross domestic product was used to proxy economic growth which is the dependent variable. Data used were sourced from secondary sources which includes; World Bank development indicators for various years and the Central Bank of Nigeria annual statistical bulletin. The Statistical Software employed to analyse the data was the eviews9. The results of the Unit root test show that domestic investment, total exports, interest rate and real gross domestic variables evaluated are all stationary after first difference- I(1)- while inflation rate was stationary at level- I(0)-. The Autoregressive distributed lag was used to analyze data. The results of the Autoregressive distributed lag estimates reveal that in both the long run and short run, domestic investment, total exports, coefficients have positive impact on real gross domestic product in Nigeria and both are also statistically significant at five percent level of significance in the long-run in Nigeria. Since it was found that increase domestic investment and total exports bring about economic growth, the study therefore, recommends amongst others that appropriate trade policies in favour of export expansion should be encouraged. The federal government of Nigeria should make concerted effort towards export promotion policy by encouraging domestic investors to go into more production. In order to achieve this, there is need for the government to reduce interest rate and tax rate.

Police Organisational Behaviour and the Trend of Criminal Activities in Rivers State Nigeria

This study was carried out to investigate the extent to which the Nigeria Police Force (NPF) organizational behavior has reduced the trend of criminal activities in Rivers State. A descriptive survey research method of correlational research design was employed in this study to provide detailed investigation of the procedure used to establish the relationship between the Nigeria police force organizational behavior and the trend of criminal activities in Rivers State. The population of the study was 193,392,500 persons consisting of residents drawn from the cities and rural communities in Rivers State. A sample size of 400 respondents was determined, using Taro Yamene’s sample size techniques at 0.5 percent level of significance. A purposive sampling technique was adopted using a considerable percentage representation approach to ensure effective selection of the representative sample elements of the population from respondents who have adequate knowledge of the study under investigation. A structured instrument for data collection containing twenty (20) item questions was used for the study. The face and content validation of the instrument was obtained through the judgment of experts. A test-retest method was used to determine the reliability of the instrument and a reliability index of .83 was obtained. The data collected were analyzed using the descriptive statistics involving the mean score test and the percentage test method to answer the research questions, while the Z-score test of the inferential statistics method was used to test the hypothesized variables at .05 level of significance. The results obtained revealed that “Nigeria Police Force organizational behavior does not significantly reduce the trend of criminal activities in Rivers State.” The implication of the finding is that the discovered weakness of the Nigeria police force organizational behavior is that it lacks the needed proactive ethical improvement value to carry out its responsible assignments as an organization. Consequently, increasing the level of police compromise with many related criminal activities is considered mephitic enough to uplift or expand the trend of criminal activities in the state if more punitive measures are not employed by the government. It was therefore advisable that the federal government should employ legal assessor that will be used to form “Police Behavioral Monitoring Task Force (PBMT)” in every local government areas to oversee or monitor unethical and irresponsible behaviors of the Nigeria police officers in each state to curtail or curb police dysfunctional involvement in criminal related practices.

Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

BackgroundThis paper presents an in-depth examination of malnutrition in women in Bangladesh. Malnutrition in women is a major public health issue related to different diseases and has negative repercussions for children, such as premature birth, decreased infection resistance, and an increased risk of death. Moreover, malnutrition is a severe problem in Bangladesh. Data from the Bangladesh Demographic Health Survey (BDHS) conducted in 2017-18 was used to identify risk factors for malnourished women and to create a machine learning-based strategy to detect their nutritional status.MethodsA total of 17022 women participants are taken to conduct the research. All the participants are from different regions and different ages. A chi-square test with a five percent significance level is used to identify possible risk variables for malnutrition in women and six machine learning-based classifiers (Naïve Bayes, two types of Decision Tree, Logistic Regression, Random Forest, and Gradient Boosting Machine) were used to predict the malnutrition of women. The models are being evaluated using different parameters like accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F_1$$\\end{document} score, and area under the curve (AUC).ResultsDescriptive data showed that 45% of the population studied were malnourished women, and the chi-square test illustrated that all fourteen variables are significantly associated with malnutrition in women and among them, age and wealth index had the most influence on their nutritional status, while water source had the least impact. Random Forest had an accuracy of 60% and 60.2% for training and test data sets, respectively. CART and Gradient Boosting Machine also had close accuracy like Random Forest but based on other performance metrics such as kappa and F1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F_1$$\\end{document} scores Random Forest got the highest rank among others. Also, it had the highest accuracy and F1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$F_1$$\\end{document} scores in k-fold validation along with the highest AUC (0.604).ConclusionThe Random Forest (RF) approach is a reasonably superior machine learning-based algorithm for forecasting women’s nutritional status in Bangladesh in comparison to other ML algorithms investigated in this work. The suggested approach will aid in forecasting which women are at high susceptibility to malnutrition, hence decreasing the strain on the healthcare system.

Health and Infrastructural Security of Rural Households for Sustainable Livelihood: A Study in Bundelkhand Region of India

Poor health tends to be critical for marginal and small farmers who work in their own field and cannot afford to hire an alternative farmer during the time of illness. The research was conducted to assess the health and infrastructural status of farm households. The present study purposefully conducted in Bundelkhand.From each selected village a list of dairy farmers based on land holding was prepared and respondents were selected based on proportionate stratified random sampling method. Data were gathered through personal interview method with the help of the structured interview schedule. The collected data were quantified and analyzed. After data collection, the results were analyzed by using some statistical tools like percentage analysis, correlation and regression. Results revealed that among the marginal farmers the majority (59.26%) of the respondents had low health security, followed by medium and high health security i.e. 32.10 and 8.64 percent respectively. The variables such as annual income and milk production had positive and highly significant relationship with health security at the 1 percent level of significance. This shows that as the value of the annual income and milk production increases the health security of the respondents also increases. The results showed that 58.20 percent variability towards infrastructural security was due to explained or undertaken variables included in the study and the remaining was due to some other factors. The fitted regression model was observed to be significant at the 1 percent level of significance. It can be concluded that there is a need to stress upon improving their overall health and infrastructural security.

Resources Allocation as an Institutional Determinant of Strategic Plan Implementation in Public Secondary Schools in Kenya.

The study sought to examine the influence of school resource allocation on Strategic plan implementation. The study used a descriptive survey research design. The study targeted 351 public secondary schools, 351 public school principals, 1,404 class teachers and 1,755 academic Heads of Departments from which the sample of 105 principals, 176 academic Heads of Departments and 140 class teachers were derived. The respondents were sampled using stratified sampling technique. A questionnaire and an interview guide were the data collection instruments. Descriptive and inferential statistics were used to analyze data. Data was presented by used of frequency distribution tables and pie charts. Pearson’s product moment correlation coefficient and multiple linear regression was used to analyze the inferential data. The set level of hypothesis testing was at 0.05 level of significance. This may be significant to the school Board of Management policy makers in terms of know-how skills formulation, implementation and evaluation of strategic plan. This study found that resource allocation does not influence strategic plan implementation. Based on these findings, the study recommends that; the Government need to provide enough funds at the right time to finance the implementation of the schools’ strategic plan and to ensure schools have enough physical resources, enough human resources, and adequate learning resources. The researcher conducted Hypothesis testing using a multiple regression model at the 5 percent level of significance. The results of hypothesis testing gave a negative coefficient of -0.0168 on resource allocation was realized with a p-value of 0.714 which was not statistically significant at the 0.05 level. . Hence we fail to reject the hypothesis that, resource allocation has no effect on strategic plan implementation. This indicates that, resource allocation does not have a statistically significant effect on strategic plan implementation in public secondary schools in Machakos County.