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the design of case study research. He has de-fined the case study as a research strategy, de-veloped a typology of case study designs, and described the replication logic which is essential to multiple case analysis. His approach also stresses bringing the concerns of validity and reliability in experimental research design to the design of. One of the biggest disadvantages to using the case study method has to do with external vs. internal validity. Using the case study method, the researcher often does not have control over certain variables and events and, therefore, cannot control them as the researcher could in a lab experiment Consequently, the researcher using the case study. External Validity The extent to which a finding applies (or can be generalised) to persons, objects, settings, or times other than those that were the subject of Case study research involves intensive analysis of an individual unit [32]—e.g. a person, a research problem is probably the most important step in the entire research. Read More...
May 28, · I used to apply K-fold cross-validation for robust evaluation of my machine learning models. But I'm aware of the existence of the bootstrapping method for this purpose as well. However, I cannot see the main difference between them in . What’s the difference between reliability and validity? Reliability and validity are both about how well a method measures something. 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). Dec 10, · The key differences between validation_split and train_test_split() will also be discussed. The article will also introduce a method of validating data that combines the advantages of both validation_split and train_test_split() to enable better educated decisions when designing neural networks. Read More...
