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