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31.308  Articles
1 of 3.132 pages  |  10  records  |  more records»
This study was conducted to characterize school leaders at Hindang District, Leyte Division, Philippines. By complete enumeration, the study considered all active elementary teachers at Hindang District. Primary data was collected through a developed stru... see more

This study was conducted to explain the degree of happiness in teaching and determine its influencing socio-economic factors. Using a probabilistic sampling method, the study employed 127 junior and senior high school teachers as respondents. Primary data... see more

This study was conducted to explain the degree of happiness in teaching and determine its influencing socio-economic factors. Using a probabilistic sampling method, the study employed 127 junior and senior high school teachers as respondents. Primary data... see more

Numerous studies have analyzed the factors that determine food security and explored the problem from regional or national points of view. However, there has been less research targeting an understanding of the food security problem at the household level... see more

In this paper, ordered categorical variables are used to compare between linear and nonlinear interactions of fixed covariate and latent variables Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. H... see more

Internal migration, which has been continuing without slowing down since 1950s in Turkey, has started to reduce the quality of life in especially the metropolis that let in excessive numbers of immigrants for the last 15-20 years. From the perspective of ... see more

Numerous studies have analyzed the factors that determine food security and explored the problem from regional or national points of view. However, there has been less research targeting an understanding of the food security problem at the household level... see more

a procedure is definid for obtaining maximun likelihood estimates for the parameters of a family of log - linear models which includes the general log - linear model, logit models, multinominal logit models, and association models as well as models for wh... see more

Ordinal logistic regression models are used to predict the dependent variable, when dependent variable is of ordinal type in both the situation for single level and multilevel. The most used model for ordinal regression is the Proportional Odd (PO) model ... see more

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