what is the difference between external validity and generalizability?
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External validity is a function of the researcher and the design of the research. Generalizability is a function of both the researcher and the user.
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As adjectives the difference between external and outer is that external is outside of something; on the exterior while outer is outside; external.
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Internal Validity refers to those factors that are the reason for affecting the dependent variable. ... Construct Validity refers to the type in which the construct of the test is involved in predicting the relationship for the dependent type of variable.
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In This Article Internal and external validity are concepts that reflect whether or not the results of a study are trustworthy and meaningful. While internal validity relates to how well a study is conducted (its structure), external validity relates to how applicable the findings are to the real world.
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It is also possible to distinguish between external evaluation and internal evaluation. External evaluation. This is evaluation that is carried out by someone who is (or was) not directly involved in the development or operation of the system being evaluated, ie by someone from outwith the project team.
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When studies are replicated and achieve the same or similar results as the original study, it gives greater validity to the findings. If a researcher can replicate a study's results, it means that it is more likely that those results can be generalized to the larger population.
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What's the difference between reliability and validity? ... Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions). Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).
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In logic, we often refer to the two broad methods of reasoning as the deductive and inductive approaches. Deductive reasoning works from the more general to the more specific. ... Inductive reasoning works the other way, moving from specific observations to broader generalizations and theories.
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As adjectives the difference between relevant and valid is that relevant is directly related, connected, or pertinent to a topic while valid is well grounded or justifiable, pertinent.
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Strengths. Limitations. Findings can be generalised if selection process is well-designed and sample is representative of study population. Related secondary data is sometimes not available or accessing available data is difficult/impossible. Relatively easy to analyse.
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Specific feedback provides detailed ,or specific information on what the employee did well or poorly. ... General feedback on the other hand is very non-specific, such as “good job” or “you did great.” General feedback, for the most part, is not very helpful for employees...
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17 Differences between Validity and Reliability. Validity implies the extent to which the research instrument measures, what it is intended to measure. Reliability refers to the degree to which assessment tool produces consistent results, when repeated measurements are made.
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Internal validity refers to the degree of confidence that the causal relationship being tested is trustworthy and not influenced by other factors or variables. External validity refers to the extent to which results from a study can be applied (generalized) to other situations, groups or events.
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Inductive and deductive reasoning both strive to construct a valid argument. ... Therefore, inductive reasoning moves from specific instances into a generalized conclusion, while deductive reasoning moves from generalized principles that are known to be true to a true and specific conclusion.
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Validity and Soundness. A deductive argument is said to be valid if and only if it takes a form that makes it impossible for the premises to be true and the conclusion nevertheless to be false. Otherwise, a deductive argument is said to be invalid.
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Validity (accuracy) Validity of an assessment is the degree to which it measures what it is supposed to measure. This is not the same as reliability, which is the extent to which a measurement gives results that are very consistent. ... A test cannot be valid unless it is reliable.
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A statistical analysis is said to have internal validity if the statistical inferences about causal effects are valid for the population being studied. The analysis is said to have external validity if conclusions can be generalized to other population and settings.