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### 18 Cards in this Set

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 FINER research Feasibility Interesting Novel Ethical Relevant Empirical Law when a theory researches the level of absolute consistency in outcomes - allows for more precise predictions theories can never be proven, only disproven Primary Goal of Evaluating Research Reports to determine the worth or merit of a study, which ultimately depends upon the validity of the study Basic Content of Research Title Abstract Introduction Methods Results Discussion References References mix of classic studies in the field and more recent studies to help define the question Reports of research findings should provide info that is.... New True Important Comprehensible Key Components for an Outstanding Research Project Significance Investigators Innovation Approach Environment Inferential Statistics decision making process that allows one to estimate population characteristics from sample data Best Sample Is Random Representative Really Large Statistical Inference success of this process (making valid conclusions) requires certain assumptions made concerning how well the sample represents the larger population: probability, sampling error Probability system of rules for analyzing a complete set of possible outcomes Sampling Error tendency for sample values to differ from population values (occurs by chance) Use of Probability in Research guideline for making decisions about how well sample data estimate the characteristics of a population are observed differences likely to be representative of population differences or occurred simply by chance Sampling Define Population Inclusion Criteria Exclusion Criteria Sampling Error values is called sampling error. Sampling error of the mean for any single sample is equal to the difference between the sample mean (x) and the population mean (u). How can we prevent sampling error? sample as close to population as we can - randomization, representative, large number Standard Error of the Mean (definition) estimation of the population standard deviation Standard Error of the Mean (equation) Standard Error = standard deviation / the square root of the sample size (n)