# Research

rename
casonjc1's
version from
2015-06-23 21:31

## Section

Question | Answer |
---|---|

Four sampling/population units | 1. population- the entire aggregate of cases we are interested in. 2. Target - the aggregate of cases in which the researcher would like to generalize 3. Accessible population- cases in the population we have access to 4. Sample-a subset the population of the accessible population chosen to represnt |

What are the important considerations in a quantiative sampling plan | their representativeness and size. A representatie sample is one whose key characteristics closely approximate that of the population |

Probablity sampling | 1. Simple random sampling- a sample frame is established then a sample is taken at random from that. 2. Stratified random sampling- population is divided into strata to enhance representativeness population is placed in homogeneous subsets 3. Multistage cluster -a form of sampling in which large groupings (clusters) are selected first (nursing schools) typically with successive subsampling of smaller units (nursing students) in a multistage approach FOR LARGE SAMPLES 4. systematic sampling...every third person |

Non probablity sampling: Practical weakness: strong potential 4 bias | 1. Quota- sampling where quotas for certain sample characteristics are established to increase the representativeness of a sample. 2. Consecutive recruiting-all the people from accessible population who meet the criteria over a specific time period for a certain sample size. 3. Purposive(judgmental) -uses researchers knowledge about the population to select sample members |

What type of analysis is requires to estimate sample size | Power analysis |

Why is power analysis important | an adequate sample size is important to support the hypothesis even when the hypothesis is correct without an adeauqte sample size ti will underimine statistical conclusoin validity |

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