Population
Neuman (2014: 247) closely reproduces or represents features of interesting a larger collection of cases, called the population, in other words Population is a set or collection of all elements processing one or more attributes of interest
In the expalantion of Vonk (2014:1) defines Population is group of people to whom we want our research results to apply. Addition from Latham (2007: 2) The purpose of this paper is to describe sampling as a method of data collection. Probability and non-probability sampling as well as the surrounding validity issues will be discussed. Sampling theory may be adapted for content analysis, laboratory experiments, and participant observation
According to Gay (1992:140) population is the group to which a researcher would like the result of a study to be generalizable. Moreover, according to Arikunto (2010:173) Population is a set (or collection) of all elements processing one or more attributes of interest.While According to Ary, (2002:163), population is the larger group to which a researcher wishes to generalize, it includes all members of a defined class of people, events or object.
Sample
Borrego, Douglas &
Amelink (2009: 54) defines Data collected, often through surveys
administered to a sample or subset of the entire population, in other word
sample is a replicated of the large of population
Based on Landreneau, (2009: 1) A sample is a subset of your population by which you select to be participants in your study. Sampling is simply stated as selecting a portion of the population, in your research area, which will be a representation of the whole population. The strategy is the plan you set forth to be sure that the sample you use in your research study represents the population from which you drew your sample
According to Gay (1992:123) sample is the individual selected comprise. Selection of a sample is a very important step in conducting a research study. Regardless of the specific technique used, the steps in sampling include identification of the population, determination of required sample size and selection of sample
Sampling
According to Gay (1992:123) sampling is the process of selecting a number of individuals for a study in such a way that the individuals represent the larger group from which they were selected. Sampling can be divided into two kinds of sampling. There are probability sampling and non-probability sampling. A probability sampling is one in which every unit in the population has a chance (greater than zero) of being selected in the sample, and this probability can be accurately determined or the sampling that have to equal chance to be selected.
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