in the present study, through the application of self-determination theory the impact of work climate and social network size on the volunteers motivation were investigated. research type of this study is applied and research method type is descriptive. in this study active volunteers of tehran red crescent society were selected as statistical population .concerning the population of studied ce...

OBJECTIVE To present aspects of the sampling plan of the Brazilian Oral Health Survey (SBBrasil Project). with theoretical and operational issues that should be taken into account in the primary data analyses. METHODS The studied population was composed of five demographic groups from urban areas of Brazil in 2010. Two and three stage cluster sampling was used. adopting different primary unit...

Sampling designs of large-scale survey studies are typically complex, involving multiple design features such as clustering and unequal probabilities of selection. Single-level (i.e., population-averaged) methods that use adjusted variance estimators and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Although the literature comparing these meth...

this article studies emotional divorce and the sociological factors effective on it in the city of tehran. the statistical population of the research includes all the families residing in the city of tehran and the sampling methodology is two-stage random and cluster sampling method. the theoretical framework of the research is a combination of the theory of structural functionalism and the the...

the purpose of the present study was to determine gender differences in the language development and skills of first grade students of primary schools in marivan-iran. to do this, 260 first grade students (140 males and 120 females) were chosen by multi stage cluster sampling and stratified random sampling methods among the first grade students in elementary schools in the 2011-2012 academic ye...

We present a cluster-based sampling and ensemble method to learn from large, imbalanced data set for bleeding detection in CE videos. Our method selects training examples randomly according to the data distributions derived from clustering. Multiple training sets are created such that data balance is restored. The sampling probability is proportional to the cluster distribution, and within each...