尼日利亚科吉州立大学农学院尼日利亚大学农业教育与推广研究生论文样本量调查

M. Ikehi, F. Onu, F. Ifeanyieze, Patrick S. Paradang, Mmachukwu G. Nwakpadolu, L. U. Ekenta, C. Nwankwo
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引用次数: 5

摘要

这项研究的重点是在农业教育和农业推广调查研究中为所研究的人口所产生的样本量的代表性。这项研究在尼日利亚进行。在2008年至2018年期间,共有4561篇已完成的调查论文提交给尼日利亚联邦大学农业教育和农业推广部门,用于授予各种研究生学位。该研究的目的是报告样本量对生成数据的置信水平和误差范围的影响,并确定经常被引用的生成样本量的公式及其含义。报告了最常被引用的产生样本量的方法。研究结果进一步揭示了使用非统计方法产生样本量的相关问题。该研究建议在确定调查研究中的样本大小时使用经数学证明的公式,以产生统计上可靠、可靠和可推广的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on Sample Sizes of Postgraduate Theses in Agricultural Education and Extension in Universities of Nigeria of Faculty of Agriculture, Kogi State University, Anyigba, Nigeria
The study focused on the representativeness of the sample sizes generated for populations under  study in survey studies in Agricultural Education and Agricultural Extension. The study was carried out in  Nigeria. A total of 4561 completed survey theses submitted to the Departments of Agricultural Education  and Agricultural Extension in federal universities in Nigeria for the award of various postgraduate degrees  between 2008 and 2018 were studied. The objectives of the study were to report the effect of sample  size on the confidence level and margin of error of the generated data and to determine the frequently  cited formula for generating sample sizes and their implications. The most frequently cited method for  generating sample sizes was reported. Findings further revealed the problems associated with using nonstatistical  methods to generate sample sizes. The study recommended the use of mathematically proven  formula in determining sample sizes in survey studies to generate statistically dependable, reliable and  generalizable data.
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