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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)