Case study external validity

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Added: 23.04.2021
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Published on May 8, by Pritha Bhandari. Revised on April 2, External validity is the extent to which you can generalize the findings of a study to other situations, people, settings and measures. In other words, can you apply the findings of your study to a broader context? The aim of scientific research is to produce generalizable knowledge about the real world.
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Understanding Internal and External Validity

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External Validity | Types, Threats & Examples

Sign in. What is Netflix and what do they do? Netflix is a media service provider that is based out of America. It provides movie streaming through a subscription model. It includes television shows and in-house produced content along with movies. Initially, Netflix used to sell DVDs and functioned as a rental service by mail.
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Internal vs external validity

External validity is one the most difficult of the validity types to achieve, and is at the foundation of every good experimental design. Many scientific disciplines, especially the social sciences, face a long battle to prove that their findings represent the wider population in real world situations. The main criteria of external validity is the process of generalization , and whether results obtained from a small sample group, often in laboratory surroundings, can be extended to make predictions about the entire population. The reality is that if a research program has poor external validity, the results will not be taken seriously, so any research design must justify sampling and selection methods.
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A quasi-experiment is an empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment. Quasi-experimental research shares similarities with the traditional experimental design or randomized controlled trial , but it specifically lacks the element of random assignment to treatment or control. Instead, quasi-experimental designs typically allow the researcher to control the assignment to the treatment condition, but using some criterion other than random assignment e.
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