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MAGIC Criteria
The MAGIC criteria are a set of guidelines put forth by Robert Abelson in his book ''Statistics as Principled Argument''. In this book he posits that the goal of statistical analysis should be to make compelling claims about the world and he presents the MAGIC criteria as a way to do that. What are the MAGIC criteria? MAGIC is a backronym A backronym is an acronym formed from an already existing word by expanding its letters into the words of a phrase. Backronyms may be invented with either serious or humorous intent, or they may be a type of false etymology or folk etymology. The ... for: # Magnitude – How big is the effect? Large effects are more compelling than small ones. # Articulation – How specific is it? Precise statements are more compelling than imprecise ones. # Generality – How generally does it apply? More general effects are more compelling than less general ones. Claims that would interest a more general audience are more compelling. # Interestingness � ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Robert Abelson
Robert Paul Abelson (September 12, 1928 – July 13, 2005) was a Yale University psychologist and political scientist with special interests in statistics and logic. Biography He was born in New York City and attended the Bronx High School of Science. He did his undergraduate work at MIT and his Ph.D. in psychology at Princeton University's Department of Psychology under John Tukey and Silvan Tomkins. From Princeton, Abelson went to Yale, where he stayed for the subsequent five decades of his career. Arriving during the ''Yale Communication Project'', Abelson contributed to the foundation of attitudes studies as co-author of ''Attitude Organization and Change: An Analysis of Consistency Among Attitude Component'', (1960, with Rosenberg, Hovland, McGuire, & Brehm). While at Yale, Abelson was briefly a bass in the Yale Russian Chorus. Abelson also played an instrumental role in the founding of computer science at Yale, chairing a 1967 University Committee that recommended establi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Backronym
A backronym is an acronym formed from an already existing word by expanding its letters into the words of a phrase. Backronyms may be invented with either serious or humorous intent, or they may be a type of false etymology or folk etymology. The word is a portmanteau of ''back'' and ''acronym''. A normal acronym is a word derived from the initial letter(s) of the words of a phrase, such as ''radar'' from "radio detection and ranging". By contrast, a backronym is "an acronym deliberately formed from a phrase whose initial letters spell out a particular word or words, either to create a memorable name or as a fanciful explanation of a word's origin". Many list of fictional espionage organizations, fictional espionage organizations are backronyms, such as SPECTRE (special executive for counterintelligence, terrorism, revenge and extortion) from the ''James Bond'' franchise. For example, the Amber Alert missing-child program was named after Amber Hagerman, a nine-year-old girl w ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Structural Equation Modelling
Structural equation modeling (SEM) is a diverse set of methods used by scientists for both observational and experimental research. SEM is used mostly in the social and behavioral science fields, but it is also used in epidemiology, business, and other fields. A common definition of SEM is, "...a class of methodologies that seeks to represent hypotheses about the means, variances, and covariances of observed data in terms of a smaller number of 'structural' parameters defined by a hypothesized underlying conceptual or theoretical model,". SEM involves a model representing how various aspects of some phenomenon are thought to causally connect to one another. Structural equation models often contain postulated causal connections among some latent variables (variables thought to exist but which can't be directly observed). Additional causal connections link those latent variables to observed variables whose values appear in a data set. The causal connections are represented using ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
