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Information on Domestic staff utilisation and household crimes Attah, Frank M.; Agba, A. M. Ogaboh; Ibiam, Azu A.; Kaburise, Phyllis K.; Kulo, Collins
JINAV: Journal of Information and Visualization Vol. 2 No. 2 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav284

Abstract

Hiring of domestic staff and its effect on households’ crime has been an issues of great concern in Nigeria. This study is sets to investigate the correlates between domestic staff utilisation and crimes such as kidnapping, stealing and rape. Blocked opportunity theory and structural functionalism theory were adopted. Cross-sectional survey design was used while data was generated view questionnaire. A total sample of 330 respondents were selected from households in Southern Senatorial District of Cross River State, Nigeria. Information retrieved were coded and subjected to statistical analysis. Outcome revealed a significant relationship between the hiring of domestic staff and household crimes (such as kidnapping, stealing and rape). It was recommended among others that house helps should be passably screened through proper employment procedures before they are employed as domestic staff.
Information on the Impact National N-Power Scheme on Employment Creation Attah, Frank M.; Omang, Thomas A.; Ojong-Ejoh, Mary U.; Botchway, Hussein
JINAV: Journal of Information and Visualization Vol. 2 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav313

Abstract

This study attempts to provide valuable data on the impact of the National N-Power scheme on youth employment in Bekwara Local Government Area of Cross River state. The ex post facto research design was adopted in collecting data from 398 samples from a population of 632 beneficiaries of the scheme using a self-structured questionnaire. The convenience sampling technique was used in selecting the samples from the study area. Data collected from the field was analyzed using inferential and descriptive statistics. The descriptive statistics include frequency distribution, charts, simple per centages, means and standard deviation. The result from the descriptive statistics was then subjected to parametric statistics at 0.05 confidence level. Out of the 398-instrument distributed, only 389 was returned and used for analysis. from the analysis, it was discovered that nearly all the respondents (96.92%) were unemployed before becoming beneficiaries of the N-Power Scheme. It was also discovered that out of all the programs registered under the scheme, only three programs had beneficiaries in Bekwara, these were N-Teach, N-Agro and N-Health. From the analysis carried out using lineal regression, it was discovered that there is a significant relationship between N-Power and Employment Creation. Based on these findings the study recommends amongst others that there is a need for an increase in the number of beneficiaries of the Scheme in the Local Government Area.