Cluster sampling

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    strengths, including: not being personable or showing any perspective from MCs, not having a fifth cluster for styles that don’t fit into one of the four, “These decisions are necessarily based on judgment, and there are some variables that one might argue should fall into another category” (Bernhard and Sulkin, 11), stating that legislative styles are predictable and relatively stable across time, and lastly, it seemed to be very poorly worded and somewhat opinionated instead of factual in cases. Altogether, the authors did not build upon Fenno’s work and did not merely provide the necessary analysis to make their claims. Strengths of Legislative Styles Yes, there are many more weaknesses than strengths displayed in the introduction but that doesn’t take away from the few things that Bernhard and Sulkin brought to the table that were somewhat enticing. To start, their thinking is innovative to say the least, they do bring new ideas to the table such as an exact equation and algorithm to figure out which cluster sample individuals will be placed in. Following that, Bernhard and Sulkin used mass quantities of data regarding the large amount of activities performed by members of the 101st congress to the 110th congress. In retrospect that is approximately, 1049 MCs which is much more than Fenno was ever able to study (Bernhard and Sulkin, 2). Also, there is nothing easy about cluster sampling, marginalizing, and categorizing such large amounts of people into different styles;…

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    Accuracy Analysis Sample

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    team need to gather enough campaign statistical data. In order to prove the accuracy of statistical analysis. We will analyze the accuracy of the statistic result in this chapter. I - Completing Test and Sampling Completing Test For a certain test target, if we can test every member of that target. It is called complete testing. For the complete test, the test accuracy is 100% but cannot be referred to a bigger scope. Also, for most situation, because of the cost and the real situation, it is…

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    Chlamydia Case Study

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    for measuring included race, age, and whether the female was from a substitute home (Torrone et al., 2015). They also used dynamics like whether the females were sexually active, using a form of birth control, identification of an STD in the past 6 months, had two or more sex partners, drug use, felonies, and etc. for measuring (Torrone et al., 2015). The authors used random sampling at consumption for 10% of the females in facility (Torrone et al., 2015). Many females had consumption…

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    Sane Fe Grill Case Study

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    The two main probability designs are, probability and nonprobability sampling. Probability sampling know what the exact probability of each selection would be whereas with nonprobability sampling it is unclear. Nonprobability, selecting each sample unit is not known, leaving the selection up to the researcher. In the case of Santé Fe Grill they should rely on probability sampling because each unit is identified. Under probability sampling, there is stratified random sampling. Stratified random…

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    The Avastin Study

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    how large the whole group under investigation is or how much time it would take to sample a certain group (Rathburn, MacConnadchie, Zizler, Hill, & Moorman, 2012, p. 72) . Sample selection is important part of a studies experimental design because it usually decides how valid a study is. The validity of the sample size and study is usually decided through the peer-review process, which is one of the reasons why the peer review process is so essential to scientific research (p. 73). The sample…

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    Group Discussion: Answer to 14.10 Christina Vass Liberty University Group Discussion: Answer to 14.10 14.10- Christina Vass The objective of this essay is to answer question 14.10 posed in chapter 14 of Business Research Methods. Using exhibit 14-8, the researcher has been instructed to describe the sampling frames that will be used to study employee skill needs of new hires in the current industry in which the researcher works (Cooper & Schindler, 2014). The researcher works within a…

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    Systematic Sampling there is a system to it, but the numbers chosen which represent each individual are selected at random. With systematic sampling the larger the sample the less likely the sample is biased. If age does not matter when doing research, then researchers might use this method. A researcher would use this method because individuals are not chosen specifically therefore, the sample is fair and is representative.However, a limitation of Systematic Sampling is because the researchers…

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    In the first article, The Relation Between Insecure Attachment and Post traumatic Stress: Early Life Versus Adulthood Traumas (Ogle & Rubin, 2015), probability sampling was used, with a population pool drawn from the “13th Wave” of the University of North Carolina Alumni (1964 - 1966) Heart Study, an ongoing longitudinal study of University of North Carolina students and their spouses (Sieger et al, 1992) including a total of 1598 participants. A convenience sampling of USC alumni would…

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    marshmallows to escape. On the other hand, cereals that are marketed for adults like Cheerios, have commercials with actors in them with less animations and advertises how it is “good for your heart.” A Sample in terms of cereal is a small part or quantity intended to show what the whole is like. When choosing a sampling method one must be sure he or she is being unbiased to the entirety of the topic at hand. Population is the number of such inhabitants. There are three different ways to sample…

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    Since the population that is being studied is a college campus a cluster sample is the best method to conduct the survey. Cluster sampling method is when the researcher divides the population into separate groups, called clusters. The campus has 32,000 students enrolled in order collect the sample you must separate the population by groups or in this case degree program. Once the population is separated by their programs randomly selected which group will participate in the study. After the…

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