The Case Study of Forest Bioenergy as a Method for the Application of Stratified Random Sampling with Optimum Allocation
A methodology analysis was conducted in this paper for the application of stratified random sampling with optimum allocation in the case of a research topic involving the rural population and exhibiting high differentiations among the three strata into which this population could be classified. The rural population of Evros Prefecture (Greece) was divided into three strata based on the mean altitude of settlements in order to estimate the mean consumption of forest fuelwood for heating and cooking needs in these three strata. In this study, the quantitative variable used to form strata is family income, which is referred to as a factor. With this stratification, we expect greater homogeneity within the strata, requiring a smaller sample size and making stratified random sampling more cost effective than simple random sampling. The analysis of this methodology includes the following steps: a) determining the total size of the sample for the entire rural population and allocating it to the various strata; b) investigating the effectiveness of stratification using the technique of analysis of variance (One-Way ANOVA); c) conducting sampling research with the realization of face-to-face interviews in selected households; and d) the conclusion. SPSS for Windows, a statistical package for social sciences, was used to analyze the data from the questionnaire. All data for this methodology’s analysis and practical application were gathered through pilot sampling in each stratum. A review of the literature yielded no relevant papers.
M. N. Tsatiris
Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, 193 Pantazidou Street, 68200, Orestiada, Greece.
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