Matches in SemOpenAlex for { <https://semopenalex.org/work/W2567089098> ?p ?o ?g. }
- W2567089098 endingPage "420" @default.
- W2567089098 startingPage "390" @default.
- W2567089098 abstract "This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation and inference are first reviewed. Then, two empirical examples are provided to show how Bayesian methods can overcome limitations of frequentist methods: (a) a structural equation model of testosterone’s effect on status in teams, where a Bayesian approach allows directly testing a traditional null hypothesis as a research hypothesis and allows estimating all possible residual covariances in a measurement model, neither of which are possible with frequentist methods; and (b) an ANOVA-style model from a true experiment of ego depletion’s effects on performance, where Bayesian estimation with informative priors allows results from all previous research (via a meta-analysis and other previous studies) to be combined with estimates of study effects in a principled manner, yielding support for hypotheses that is not obtained with frequentist methods. Data are available from the first author, code for the program Mplus is provided, and tables illustrate how to present Bayesian results. In conclusion, the many benefits and few hindrances of Bayesian methods are discussed, where the major hindrance has been an easily solvable lack of familiarity by organizational researchers." @default.
- W2567089098 created "2017-01-06" @default.
- W2567089098 creator A5027463796 @default.
- W2567089098 creator A5087326867 @default.
- W2567089098 date "2013-08-11" @default.
- W2567089098 modified "2023-10-05" @default.
- W2567089098 title "Bayesian Estimation and Inference" @default.
- W2567089098 cites W1510659740 @default.
- W2567089098 cites W1579303078 @default.
- W2567089098 cites W1964760630 @default.
- W2567089098 cites W1966857577 @default.
- W2567089098 cites W1967485420 @default.
- W2567089098 cites W1971410477 @default.
- W2567089098 cites W1977571357 @default.
- W2567089098 cites W1981521487 @default.
- W2567089098 cites W1985876015 @default.
- W2567089098 cites W1990720233 @default.
- W2567089098 cites W1995572174 @default.
- W2567089098 cites W2000597006 @default.
- W2567089098 cites W2001994823 @default.
- W2567089098 cites W2004416353 @default.
- W2567089098 cites W2005534705 @default.
- W2567089098 cites W2008992734 @default.
- W2567089098 cites W2012844555 @default.
- W2567089098 cites W2013187588 @default.
- W2567089098 cites W2030360178 @default.
- W2567089098 cites W2030441548 @default.
- W2567089098 cites W2031091662 @default.
- W2567089098 cites W2031131325 @default.
- W2567089098 cites W2038290376 @default.
- W2567089098 cites W2040231927 @default.
- W2567089098 cites W2042098456 @default.
- W2567089098 cites W2042539525 @default.
- W2567089098 cites W2044147389 @default.
- W2567089098 cites W2050346328 @default.
- W2567089098 cites W2054252117 @default.
- W2567089098 cites W2058755574 @default.
- W2567089098 cites W2058979853 @default.
- W2567089098 cites W2060763381 @default.
- W2567089098 cites W2069039251 @default.
- W2567089098 cites W2070001002 @default.
- W2567089098 cites W2072638058 @default.
- W2567089098 cites W2084840427 @default.
- W2567089098 cites W2086655368 @default.
- W2567089098 cites W2094036005 @default.
- W2567089098 cites W2094779818 @default.
- W2567089098 cites W2105739787 @default.
- W2567089098 cites W2106228439 @default.
- W2567089098 cites W2113655903 @default.
- W2567089098 cites W2116618538 @default.
- W2567089098 cites W2118070418 @default.
- W2567089098 cites W2122905005 @default.
- W2567089098 cites W2123817056 @default.
- W2567089098 cites W2128585330 @default.
- W2567089098 cites W2139606141 @default.
- W2567089098 cites W2140291117 @default.
- W2567089098 cites W2142499192 @default.
- W2567089098 cites W2147199988 @default.
- W2567089098 cites W2153281140 @default.
- W2567089098 cites W2157335584 @default.
- W2567089098 cites W2157736211 @default.
- W2567089098 cites W2167619573 @default.
- W2567089098 cites W2167731203 @default.
- W2567089098 cites W2168078160 @default.
- W2567089098 cites W2171090495 @default.
- W2567089098 cites W2316175917 @default.
- W2567089098 cites W2993330478 @default.
- W2567089098 cites W306234367 @default.
- W2567089098 cites W3123282572 @default.
- W2567089098 cites W4211084607 @default.
- W2567089098 cites W4211177544 @default.
- W2567089098 cites W4230900352 @default.
- W2567089098 cites W4233600830 @default.
- W2567089098 cites W4235718602 @default.
- W2567089098 cites W4247900153 @default.
- W2567089098 cites W4249412786 @default.
- W2567089098 cites W4249875616 @default.
- W2567089098 cites W4292157289 @default.
- W2567089098 cites W4295800929 @default.
- W2567089098 cites W4298091299 @default.
- W2567089098 cites W4299551239 @default.
- W2567089098 cites W631383955 @default.
- W2567089098 doi "https://doi.org/10.1177/0149206313501200" @default.
- W2567089098 hasPublicationYear "2013" @default.
- W2567089098 type Work @default.
- W2567089098 sameAs 2567089098 @default.
- W2567089098 citedByCount "224" @default.
- W2567089098 countsByYear W25670890982014 @default.
- W2567089098 countsByYear W25670890982015 @default.
- W2567089098 countsByYear W25670890982016 @default.
- W2567089098 countsByYear W25670890982017 @default.
- W2567089098 countsByYear W25670890982018 @default.
- W2567089098 countsByYear W25670890982019 @default.
- W2567089098 countsByYear W25670890982020 @default.
- W2567089098 countsByYear W25670890982021 @default.
- W2567089098 countsByYear W25670890982022 @default.
- W2567089098 countsByYear W25670890982023 @default.
- W2567089098 crossrefType "journal-article" @default.