Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This study was conducted to examine the relationship between manpower development and lecturers productivity in Delta State Colleges of Education. To guide the study, three research questions were raised and three hypotheses were formulated. The study was a correlation study. The population of this study was 842 lecturers in Delta State Colleges of Education in the 2014/2015 academic year. The sample used for the study was 252 lecturers of the Colleges of Education respectively selected from a population of 842 lecturers in the 2014/2015 academic year. The sampling procedure used was the random sampling technique. A survey instrument titled ‘Manpower Development and Lecturers’ Productivity Questionnaire (MDLPQ) was developed by the researcher to obtain data for the study. Data were analyzed using mean scores and Pearson “r”.
Uyeri Ajiri Oghene. 2016. \u201cThe Relationship between Manpower Development and Lecturersa Productivity in Colleges of Education in Delta State\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 16 (GJMBR Volume 16 Issue A10): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 101
Country: Nigeria
Subject: Global Journal of Management and Business Research - A: Administration & Management
Authors: Uyeri Ajiri Oghene (PhD/Dr. count: 0)
View Count (all-time): 125
Total Views (Real + Logic): 3696
Total Downloads (simulated): 1902
Publish Date: 2016 11, Fri
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This study was conducted to examine the relationship between manpower development and lecturers productivity in Delta State Colleges of Education. To guide the study, three research questions were raised and three hypotheses were formulated. The study was a correlation study. The population of this study was 842 lecturers in Delta State Colleges of Education in the 2014/2015 academic year. The sample used for the study was 252 lecturers of the Colleges of Education respectively selected from a population of 842 lecturers in the 2014/2015 academic year. The sampling procedure used was the random sampling technique. A survey instrument titled ‘Manpower Development and Lecturers’ Productivity Questionnaire (MDLPQ) was developed by the researcher to obtain data for the study. Data were analyzed using mean scores and Pearson “r”.
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