Statistical inference

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    descriptive and contextually dependent, while the quantitative researcher is allowed to make predictions and deductive inferences while assuming that their findings can be generalized. Determining whether a certain researchable topic is qualitative or quantitative can give an investigator ideas about the types of information they will be collecting and the types of statistical procedures that they will need to employ. Quantitative…

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    Internal Validity Essay

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    3. Students often confuse the concept of internal validity with the idea of instrument validity. How would you explain the difference between the two? Internal validity refers to appropriateness, correctness, meaningfulness, or usefulness of inferences drawn on a given research using by use of appropriate data. Instrument…

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    Community Detection Essay

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    Abstract. Multidimensionality in social networks is a great issue that came out into view as a result of that most social media sites such as Facebook, Twitter, and YouTube allow people to interact with each other through different social activities. The community detection in such mul- tidimensional social networks has attracted a lot of attention in the resent years. When dealing with these networks the concept of community de- tection changes to be, the discovery of the…

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    Vietnam War Public Opinion

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    escalation in Vietnam with statistical data through voting polls. The early stages of the conflict in Vietnam refers to the time period between 1955-1966. Lunch & Sperlich concluded that the public opinion supported the escalation in general in the early years of the conflict. The reasons…

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    socio-economic reality. References Polling Report (2015). International Trade / Global Economy. Retrieved from http://www.pollingreport.com/trade.htm Wild, C. J., and Seber, G. A. F., (2000). Chance Encounters: A First Course in Data Analysis and Inference, 1 St Ed.…

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    Deductive Reasoning

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    The sample size is an important feature of empirical study In which the goal is to make inferences about a population from a sample. In this article. A sample size of at least 182 observations was determined using a sample size formula recommended by Sceaffer et al. (2006:46). According to Brink et al. (2013:13), a sample size is a part of fraction…

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    proposed a solution to the problem. In The Ground of Induction, he made use of the probability theory and treats inductive inference as a special case of the problem of validating sampling techniques. What our observations of the natural world provide us with can be regarded as samples form larger populations . David Stove in The Rationality of Induction states that it is a statistical truth that the great majority of the possible subsets of specified size are similar to the large population to…

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    consoles, hand held devices, and cell phones, people of all ages find themselves involved in one way or another. Some studies show that action games have behavior benefits such as enhanced low level vision, visual attention, processing speed and statistical inference. (Bavelier, Green, Han, Renshaw, Merzenich, Gentile, 2011.) Gaming is believed to help with better perceptual skills with rehabilitation for Amblyopia better known as "lazy eye". The actual extent of playing video games which…

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    Regression-Discontinuity Design. A powerful, alternative design for causal inference that is underutilized in the health and intervention sciences is the regression discontinuity (RD) design (Thistlewaite & Campbell, 1960). In its simplest form, the RD design involves the use of a screening measure of some form that is continuous and given to all persons. A cut point or criterion is set, which determines whether individuals are assigned to an intervention condition or a comparison condition. The…

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    There are several methods available to reconstruct networks from this widely available data format. My emphasis on the method of Bayesian networks (BN) has relied on their non-pairwise mechanism of inference that introduces effects of “third variables” as a way to control confounding. The vast use and development of BN provides multiple tools to model diverse complexity issues, such as their approaches to causality. Two types of interdependent network…

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