### Citations

4302 |
Estimating the Dimension of a Model
- Schwarz
- 1978
(Show Context)
Citation Context ...ong & Lee, 2012), and (5) generalized linear mixed models (Overstall &sForster, 2010). A general approach that applies across a wide range of models is to use the Bayesian information criterion (BIC; =-=Schwarz, 1978-=-) as an approximation to a default Bayes factor. Thissapproach has been promoted and explained by Adrian Raftery (1993, 1995; see also Masson,s2011; Wagenmakers, 2007). The main advantage of the BIC i... |

3683 |
Applied multiple regression/correlation analysis for the behavioral sciences
- Cohen, Cohen, et al.
- 2003
(Show Context)
Citation Context ...pectations. At any step, the statistical support for the hypothesis thatspostulates the presence of the new predictors is determined by the increase in variancesexplained, as formalized by an F test (=-=Cohen & Cohen, 1983-=-) that follows the logic ofspNHST. Below, we outline two different ways in which Bayes factors allow researchers tosassess the importance of predictors: covariate testing and model comparison (Rouder ... |

1817 | Bayes factors
- Kass, Raftery
- 1995
(Show Context)
Citation Context ...ger & Wolpert, 1988;sLindley, 1993; a concrete example is given below). Bayesian hypothesis testing using Bayes factors provides a useful alternative to overcomesthese problems (e.g., Jeffreys, 1961; =-=Kass & Raftery, 1995-=-). Bayes factors quantify the support that the data provide for one hypothesis over another; thus, they allow researchers tosquantify evidence for any hypothesis (including the null) and monitor this ... |

1141 | Data Analysis Using Regression and Multilevel/Hierarchical Models. Analytical Methods for Social Research - Gelman, Hill - 2007 |

583 | Bayesian model selection in social research
- Raftery
- 1995
(Show Context)
Citation Context ...olpert, 1988;sLindley, 1993; a concrete example is given below). Bayesian hypothesis testing using Bayes factors provides a useful alternative to overcomesthese problems (e.g., Jeffreys, 1961; Kass & =-=Raftery, 1995-=-). Bayes factors quantify the support that the data provide for one hypothesis over another; thus, they allow researchers tosquantify evidence for any hypothesis (including the null) and monitor this ... |

369 | The earth is round {p < .05
- Cohen
- 1994
(Show Context)
Citation Context ...ike, the null hypothesis is specified as a single point, in this case, H0: ρ = 0. However, it has been argued that, insobservational studies at least, the null hypothesis is never true exactly (e.g., =-=Cohen, 1994-=-;sMeehl, 1978). When this is the case, the conclusion is already known before the experimentsis conducted: “the null hypothesis is false.” All that needs to happen to make the test supportsthis truism... |

337 |
Markov chain Monte Carlo: Stochastic simulation for Bayesian inference
- Gamerman
- 1997
(Show Context)
Citation Context ...er the prior distribution is vital to obtain Bayes factors and penalize models for undue complexity, the integration process itself can be analytically infeasible and computationally demanding (e.g., =-=Gamerman & Lopes, 2006-=-).sFortunately, the details of the specific situation may often allow Bayes factors to be obtainedswithout conducting the integration process. For instance, consider the set of models forswhich p valu... |

220 |
Bayesian statistical inference for psychological research
- Edwards, Lindman, et al.
- 1963
(Show Context)
Citation Context ...). One may argue that in many situations, the data will pass the “interocular traumatic test”s(i.e., when the pattern in the data is so evident that the conclusion hits you straight betweensthe eyes; =-=Edwards et al., 1963-=-), and the results will be clear no matter what statistical paradigm is being used. Luckily, this is true; however, some data fail the interocular traumatic testsand the results may indeed depend on t... |

204 | Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology
- Meehl
(Show Context)
Citation Context ... hypothesis is specified as a single point, in this case, H0: ρ = 0. However, it has been argued that, insobservational studies at least, the null hypothesis is never true exactly (e.g., Cohen, 1994;s=-=Meehl, 1978-=-). When this is the case, the conclusion is already known before the experimentsis conducted: “the null hypothesis is false.” All that needs to happen to make the test supportsthis truism is to collec... |

147 | False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. - Simmons, Nelson, et al. - 2011 |

132 |
Applying Occam’s razor in modeling cognition: A Bayesian approach
- Myung, Pitt
- 1997
(Show Context)
Citation Context ...swrong, this drives down the average likelihood (M. D. Lee & Wagenmakers, 2013). This isshow Bayes factors implement Occam’s razor or the principle of parsimony (e.g., Myung,sForster, & Browne, 2000; =-=Myung & Pitt, 1997-=-; Wagenmakers & Waldorp, 2006). Although integrating the likelihood over the prior distribution is vital to obtain Bayes factors and penalize models for undue complexity, the integration process itsel... |

115 |
Introduction to probability and statistics from a Bayesian point of view, part 2: Inference.
- Lindley
- 1965
(Show Context)
Citation Context ..., itsso happens that under uninformative priors, for a specific set of models and a specific set of parameters, there issnumerical agreement between the credible interval and the confidence interval (=-=Lindley, 1965-=-). 2. As is becoming increasingly common, we use “hypothesis” and “model” interchangeably in this report. Modelssare used to encode or specify hypotheses, and hypothesis testing may be considered a fo... |

110 |
Posterior predictive p-values
- Meng
- 1994
(Show Context)
Citation Context ...cademic agenda for guidelines on how to analyze data and report results. To breaksFigure 4 Anscombe’s Quartet Note: Gray regions indicate the 95% Bayesian posterior predictive interval (Gelman, 2010; =-=Meng, 1994-=-; see textualsdiscussion for details).sat PENNSYLVANIA STATE UNIV on May 12, 2016jom.sagepub.comDownloaded froms540sJournal of Management / February 2015 the frequentist stranglehold, the social scien... |

101 |
Testing precise hypotheses
- Berger, Delampady
- 1987
(Show Context)
Citation Context ... p values cannot quantify evidence in favor of a nullshypothesis (e.g., Gallistel, 2009; Rouder, Speckman, Sun, Morey, & Iverson, 2009), theysoverstate the evidence against the null hypothesis (e.g., =-=Berger & Delampady, 1987-=-; Edwards,sLindman, & Savage, 1963; Johnson, 2013; Sellke, Bayarri, & Berger, 2001), and they dependson the sampling plan, that is, they depend on the intention with which the data were collected; con... |

96 |
A practical solution to the pervasive problems of p values.
- Wagenmakers
- 2007
(Show Context)
Citation Context ...ates that it is false so that the null hypothesissis true and demonstrates that this scenario is untenable. Unfortunately, p values have a number of serious logical and statistical limitations (e.g.,s=-=Wagenmakers, 2007-=-). In particular, p values cannot quantify evidence in favor of a nullshypothesis (e.g., Gallistel, 2009; Rouder, Speckman, Sun, Morey, & Iverson, 2009), theysoverstate the evidence against the null h... |

93 |
Graphs in Statistical Analysis:
- Anscombe
- 1973
(Show Context)
Citation Context .... Thus, beforesdrawing conclusions, it is important to assess absolute goodness of fit and confirm that thesbest model is also a good model. This important issue is highlighted in Anscombe’s quartet (=-=Anscombe, 1973-=-), shown heresas Figure 4. Each panel shows a different data set, carefully constructed so that the variablesshave the same means, variances, and linear regression coefficient. For each data set, thes... |

93 |
Bayesian t tests for accepting and rejecting the null hypothesis.
- Rouder, Speckman, et al.
- 2009
(Show Context)
Citation Context ...p values have a number of serious logical and statistical limitations (e.g.,sWagenmakers, 2007). In particular, p values cannot quantify evidence in favor of a nullshypothesis (e.g., Gallistel, 2009; =-=Rouder, Speckman, Sun, Morey, & Iverson, 2009-=-), theysoverstate the evidence against the null hypothesis (e.g., Berger & Delampady, 1987; Edwards,sLindman, & Savage, 1963; Johnson, 2013; Sellke, Bayarri, & Berger, 2001), and they dependson the sa... |

84 | Mixtures of g priors for Bayesian variable selection
- Liang, Paulo, et al.
- 2008
(Show Context)
Citation Context ...that work well across a wide range of substantively different applications. For instance, the default priors we use for linear regression are known as the JeffreysZellner-Siow (JZS) priors (Jeffreys; =-=Liang, Paulo, Molina, Clyde, & Berger, 2008-=-; Rouder &sMorey, 2012; Zellner & Siow, 1980); as discussed later, these priors fulfill several generalsdesiderata and can provide a reference analysis that may, if needed, be fine-tuned usingsproblem... |

72 |
Theory of Probability (3rd
- Jeffreys
- 1961
(Show Context)
Citation Context ...nt p values (Berger & Wolpert, 1988;sLindley, 1993; a concrete example is given below). Bayesian hypothesis testing using Bayes factors provides a useful alternative to overcomesthese problems (e.g., =-=Jeffreys, 1961-=-; Kass & Raftery, 1995). Bayes factors quantify the support that the data provide for one hypothesis over another; thus, they allow researchers tosquantify evidence for any hypothesis (including the n... |

70 | The new statistics: Why and how. - Cumming - 2014 |

68 | Some problems connected with statistical inference.
- COX, R
- 1958
(Show Context)
Citation Context ...e may argue, therefore, that the appropriate sample space for the computation of the psvalue should take into account the possibility that many fewer responses could have beensobtained, or many more (=-=Cox, 1958-=-). This is an unwelcome complication, which thesresearcher may wish to avoid by pretending that a fixed-size sampling plan was employed. The assumption of a fixed-size sampling plan is unacceptable wh... |

66 |
Posterior Bayes Factors
- Aitkin
- 1991
(Show Context)
Citation Context ...hould be noted that thissclaim is not undisputed, and some statisticians prefer a method for hypothesis testing orsmodel selection that is less sensitive to prior specification (for a discussion, see =-=Aitkin, 1991-=-;sLiu & Aitkin, 2008; Vanpaemel, 2010). Because the Bayesian hypothesis test is relatively sensitive—as it should be—to the priorsdistribution, the specification of this prior distribution requires co... |

65 | Bayesian model selection in structural equation models - Raftery - 1993 |

60 | Estimating Bayes factors via posterior simulation with the Laplace-Metropolis estimator
- Lewis, Raftery
- 1997
(Show Context)
Citation Context ...ed only as ansapproximate descriptive articulation of different standards of evidence. Bayes factors represent “the standard Bayesian solution to the hypothesis testing andsmodel selection problems” (=-=Lewis & Raftery, 1997-=-: 648) and “the primary tool used insBayesian inference for hypothesis testing and model selection” (Berger, 2006: 378).sNevertheless, Bayes factors come with a series of challenges, three of which st... |

50 |
Posterior odds ratios for selected regression hypotheses.
- Zellner, Siow
- 1980
(Show Context)
Citation Context ...cations. For instance, the default priors we use for linear regression are known as the JeffreysZellner-Siow (JZS) priors (Jeffreys; Liang, Paulo, Molina, Clyde, & Berger, 2008; Rouder &sMorey, 2012; =-=Zellner & Siow, 1980-=-); as discussed later, these priors fulfill several generalsdesiderata and can provide a reference analysis that may, if needed, be fine-tuned usingsproblem-specific information. Another less obvious ... |

48 |
Structural equation modeling: A Bayesian approach.
- Lee
- 2007
(Show Context)
Citation Context ...analysis of variance designss(e.g., Rouder, Morey, Speckman, & Province, 2012), (3) mediation (Nuijten, Wetzels,sMatzke, Dolan, & Wagenmakers, in press), (4) structural equation modeling (e.g., S.-Y.s=-=Lee, 2007-=-; Song & Lee, 2012), and (5) generalized linear mixed models (Overstall &sForster, 2010). A general approach that applies across a wide range of models is to use the Bayesian information criterion (BI... |

48 |
Calibration of p values for testing precise null hypotheses.
- Sellke, Bayarri, et al.
- 2001
(Show Context)
Citation Context ...listel, 2009; Rouder, Speckman, Sun, Morey, & Iverson, 2009), theysoverstate the evidence against the null hypothesis (e.g., Berger & Delampady, 1987; Edwards,sLindman, & Savage, 1963; Johnson, 2013; =-=Sellke, Bayarri, & Berger, 2001-=-), and they dependson the sampling plan, that is, they depend on the intention with which the data were collected; consequently, identical data may yield different p values (Berger & Wolpert, 1988;sLi... |

46 |
Why isn’t everyone a Bayesian?
- Efron
- 1986
(Show Context)
Citation Context ...ayesians? Several general arguments have been mounted for and against Bayesian inference. Somesresearchers have tried to indicate explicitly why not every scientist is a Bayesian (e.g.,sDennis, 1996; =-=Efron, 1986-=-). For instance, Dennis argued that, in contrast to Bayesian inference, frequentist statistics has a “proven track record” (1996: 1101). Efron argued that “theshigh ground of scientific objectivity ha... |

43 |
Editors’ introduction to the special section on replicability in psychological science: A crisis of confidence?.
- Pashler, &Wagenmakers
- 2012
(Show Context)
Citation Context ...eventsthemselves from prematurely rejecting the null hypothesis. The latter advantage is particularly acute in light of the recent crisis of confidence about the veracity of empirical findings (e.g., =-=Pashler & Wagenmakers, 2012-=-). It is entirely possible that the use of pNHST hassexacerbated the replicability crisis (Johnson, 2013; Nuzzo, 2014; Wetzels, Matzke, Lee,sRouder, Iverson, & Wagenmakers, 2011) and that adoption of ... |

42 |
The importance of proving the null
- Gallistel
- 2009
(Show Context)
Citation Context .... Unfortunately, p values have a number of serious logical and statistical limitations (e.g.,sWagenmakers, 2007). In particular, p values cannot quantify evidence in favor of a nullshypothesis (e.g., =-=Gallistel, 2009-=-; Rouder, Speckman, Sun, Morey, & Iverson, 2009), theysoverstate the evidence against the null hypothesis (e.g., Berger & Delampady, 1987; Edwards,sLindman, & Savage, 1963; Johnson, 2013; Sellke, Baya... |

42 |
P values: what they are and what they are not
- Schervish
- 1996
(Show Context)
Citation Context ...s the probability of encountering astest statistic at least as extreme as the one that was observed, given that the null hypothesis isstrue, that is, given that the effect of interest does not exist (=-=Schervish, 1996-=-). Thus, p valuesssignal the extremeness of the data under the null hypothesis H0; low p values (i.e., p < .05)sindicate extreme data and usually lead researchers to reject the null hypothesis and, by... |

34 | Bayesian hypothesis testing for psychologists: A tutorial on the Savage-Dickey method. - Wagenmakers, Lodewyckx, et al. - 2010 |

32 | The BUGS Book: A Practical Introduction to Bayesian Analysis, Chapman & Hall/CRC, - Lunn, Jackson, et al. - 2013 |

30 |
The Schwarz criterion and related methods for normal linear models
- Pauler
- 1998
(Show Context)
Citation Context ...a serves a verysdifferent function; see Myung & Pitt, 1997), and where the hierarchical nature of a modelsmakes it difficult to determine the effective number of observations that the BIC should uses(=-=Pauler, 1998-=-). For the non-BIC versions of Bayes factors, several software packages are available, andswe provide a selected overview here: Herbert Hoijtink, Joris Mulder, and colleagues havespromoted their packa... |

28 |
Bayes factors: prior sensitivity and model generalizability.
- Liu, Aitkin
- 2008
(Show Context)
Citation Context ... that thissclaim is not undisputed, and some statisticians prefer a method for hypothesis testing orsmodel selection that is less sensitive to prior specification (for a discussion, see Aitkin, 1991;s=-=Liu & Aitkin, 2008-=-; Vanpaemel, 2010). Because the Bayesian hypothesis test is relatively sensitive—as it should be—to the priorsdistribution, the specification of this prior distribution requires considerable care. In ... |

28 | A tutorial on a practical Bayesian alternative to null–hypothesis significance testing. - Masson - 2011 |

27 | Statistical evidence in experimental psychology: An empirical comparison using 855 t tests. - Wetzels, Matzke, et al. - 2011 |

25 | Default Bayes factors for ANOVA designs.
- Rouder, N, et al.
- 2012
(Show Context)
Citation Context ... scattered, defaultsBayes factors have been developed for a number of relevant models, for instance, (1)scontingency tables (e.g., Gunel & Dickey, 1974), (2) mixed analysis of variance designss(e.g., =-=Rouder, Morey, Speckman, & Province, 2012-=-), (3) mediation (Nuijten, Wetzels,sMatzke, Dolan, & Wagenmakers, in press), (4) structural equation modeling (e.g., S.-Y.sLee, 2007; Song & Lee, 2012), and (5) generalized linear mixed models (Overst... |

24 |
Understanding Psychology as a Science: An Introduction to Scientific and Statistical Inference.
- Dienes
- 2008
(Show Context)
Citation Context ...SYLVANIA STATE UNIV on May 12, 2016jom.sagepub.comDownloaded froms540sJournal of Management / February 2015 the frequentist stranglehold, the social sciences require more Bayesian course books (e.g.,s=-=Dienes, 2008-=-; Kruschke, 2010; M. D. Lee & Wagenmakers, 2013) and more user-friendlyssoftware packages that facilitate the application and interpretation of Bayesian methods (e.g.,ssee Appendix B in the online sup... |

23 |
The weighted likelihood ratio, sharp hypotheses about chances, the order of a Markov chain.
- Dickey, Lientz
- 1970
(Show Context)
Citation Context ...tegies, H1: ρ ~ Uniform(–1,1) can be simplified to H0 byssetting rho equal to 0. For such a comparison between nested models, one can obtain thesBayes factor by the Savage-Dickey density ratio (e.g., =-=Dickey & Lientz, 1970-=-; Wagenmakers,sLodewyckx, Kuriyal, & Grasman, 2010). Figure 2 visualizes the Savage-Dickey density ratio by the two dots that indicate thesheight of the prior and posterior distribution at rho equals ... |

21 | A theory-based measure of conflict management strategies in the workplace. - Dreu, Evers, et al. - 2001 |

21 | Doing Bayesian data analysis: A tutorial introduction with R”, - Kruschke - 2010 |

20 | Revised standards for statistical evidence - Johnson - 2013 |

19 | Prior sensitivity in theory testing: An apologia for the Bayes factor. - Vanpaemel - 2010 |

14 |
Bayes factors.
- Berger
- 2006
(Show Context)
Citation Context ...rd Bayesian solution to the hypothesis testing andsmodel selection problems” (Lewis & Raftery, 1997: 648) and “the primary tool used insBayesian inference for hypothesis testing and model selection” (=-=Berger, 2006-=-: 378).sNevertheless, Bayes factors come with a series of challenges, three of which stand out. Theseschallenges are discussed in the next section, which may be skipped by the reader who is notsintere... |

14 |
Bayes factors for independence in contingency tables
- Gûnel, Dickey
- 1974
(Show Context)
Citation Context ...in management research. Although the literature has remained somewhat scattered, defaultsBayes factors have been developed for a number of relevant models, for instance, (1)scontingency tables (e.g., =-=Gunel & Dickey, 1974-=-), (2) mixed analysis of variance designss(e.g., Rouder, Morey, Speckman, & Province, 2012), (3) mediation (Nuijten, Wetzels,sMatzke, Dolan, & Wagenmakers, in press), (4) structural equation modeling ... |

14 | UNIV on May 12, 2016jom.sagepub.comDownloaded from 50 D.M. De Carolis - STATE - 1993 |

13 | Model selection: Theoretical developments and applications [Special issue]. - Wagenmakers, Waldorp - 2006 |

12 | Avoiding model selection in Bayesian social research.
- Gelman, Rubin
- 1995
(Show Context)
Citation Context ...pothesis testing is whether hypothesis testing shouldsbe engaged in at all. Several statisticians and social scientists have argued that testing shouldsbe replaced by estimation (e.g., Cumming, 2014; =-=Gelman & Rubin, 1995-=-; Kruschke, 2010).sThis debate might never be settled, but it is our belief that hypothesis testing constitutes aslegitimate scientific endeavor that requires a proper statistical implementation (More... |

10 | Scientific inference (3rd ed - Jeffreys - 1973 |

10 | Bayes factor approaches for testing interval null hypotheses. - Morey, Rouder - 2011 |

8 | Criteria for Bayesian model choice with application to variable selection
- Bayarri, Berger, et al.
- 2012
(Show Context)
Citation Context ...tion. In linearsregression models, the most popular objective prior specification scheme is inspired by thespioneering work of Harold Jeffreys and Arnold Zellner. This JZS prior specification schemes(=-=Bayarri, Berger, Forte, & Garcia-Donato, 2012-=-; Jeffreys, 1961; Liang et al., 2008; Rouder &sMorey, 2012; Zellner & Siow, 1980) assigns a multivariate “fat-tail Normal” distribution tosthe regression coefficients.3 Detailed mathematical derivatio... |

8 | visibility, and the antecedents of corporate social performance: An investigation of the instrumental perspective - Chiu, Sharfman |

8 | The analysis of experimental data: The appreciation of tea and wine.
- Lindley
- 1993
(Show Context)
Citation Context ...01), and they dependson the sampling plan, that is, they depend on the intention with which the data were collected; consequently, identical data may yield different p values (Berger & Wolpert, 1988;s=-=Lindley, 1993-=-; a concrete example is given below). Bayesian hypothesis testing using Bayes factors provides a useful alternative to overcomesthese problems (e.g., Jeffreys, 1961; Kass & Raftery, 1995). Bayes facto... |

7 | The meaning of “significance” for different types of research [Eric-Jan Wagenmakers, Denny Borsboom, Josine - Groot - 2014 |

7 | Informative hypotheses: theory and practice for behavioral and social scientists. Chapman and Hall/CRC. - Hoijtink - 2011 |

7 | A default Bayesian hypothesis test for ANOVA designs. - Wetzels, Grasman, et al. - 2012 |

6 |
The Likelihood Principle (2nd
- Berger, Wolpert
- 1988
(Show Context)
Citation Context ...e, Bayarri, & Berger, 2001), and they dependson the sampling plan, that is, they depend on the intention with which the data were collected; consequently, identical data may yield different p values (=-=Berger & Wolpert, 1988-=-;sLindley, 1993; a concrete example is given below). Bayesian hypothesis testing using Bayes factors provides a useful alternative to overcomesthese problems (e.g., Jeffreys, 1961; Kass & Raftery, 199... |

6 | Why hypothesis tests are essential for psychological science: A comment on cumming - Morey, Rouder, et al. - 2014 |

6 |
A Tutorial on the Bayesian Approach for Analyzing Structural Equation Models,
- Song, Lee
- 2012
(Show Context)
Citation Context ... variance designss(e.g., Rouder, Morey, Speckman, & Province, 2012), (3) mediation (Nuijten, Wetzels,sMatzke, Dolan, & Wagenmakers, in press), (4) structural equation modeling (e.g., S.-Y.sLee, 2007; =-=Song & Lee, 2012-=-), and (5) generalized linear mixed models (Overstall &sForster, 2010). A general approach that applies across a wide range of models is to use the Bayesian information criterion (BIC; Schwarz, 1978) ... |

5 | Self-concept clarity and the management of social conflict - Bechtoldt, Dreu, et al. - 2010 |

5 |
Bayesian modeling for cognitive science: A practical course.
- Lee, Wagenmakers
- 2014
(Show Context)
Citation Context ...ayesian inference, probability is used to quantifysuncertainty or degree of belief. The many aspects of Bayesian inference are explained in detail elsewhere (e.g., Dienes,s2008; Kruschke, 2010; M. D. =-=Lee & Wagenmakers, 2013-=-; and the articles in this specialsissue, such as Zyphur & Oswald, 2015). Here we explain the essentials in as far as they aresrequired to understand, at a conceptual level, the material covered in la... |

5 | Guest editors’ introduction: Special issue on model selection - Myung, Forster, et al. - 2000 |

5 | Optional stopping: No problem for Bayesians. - Rouder - 2014 |

4 | The growth of Bayesian methods in statistics and economics since - Poirier - 2006 |

4 |
Default bayes factors for model selection in regression.Multivariate
- Rouder, Morey
- 2012
(Show Context)
Citation Context ...onceptual support for the theory that postulated the importance ofsthose variables. The Bayesian principles outlined in the previous section also hold for regression modelss(e.g., Liang et al., 2008; =-=Rouder & Morey, 2012-=-). Suppose model MX includes x predictors,sand model MY includes x predictors plus one additional predictor. The evidence for the inclusion of this additional predictor is then given by BFYX = p(D | M... |

3 | A 250-year argument: Belief, behavior, and the bootstrap - Efron - 2013 |

3 | Bayesian statistics then and now - Gelman |

2 |
Role Expectations as Antecedents of Citizenship and the Moderating Effects of Work Context
- Dierdorff, Rubin, et al.
- 2010
(Show Context)
Citation Context ...ssindustry visibility is positively associated with its corporate social performance” (Chiu &sSharfman, 2011: 1564), that “prosocial role expectations are positively related to citizenshipsbehavior” (=-=Dierdorff, Rubin, & Bachrach, 2012-=-: 577), or that “the relationship between competitive negotiation tactics and career or paid work effort will be moderated by gender suchsthat the relationship will be more strongly positive for men t... |

1 | Practical regression and ANOVA using R. http://www.maths.bath.ac.uk/~jjf23/book. Accessed November 28 - Faraway - 2012 |

1 | Comment on “Tests of significance in theory and practice” by D - Lindley - 1986 |

1 | Comment on “Why isn’t everyone a Bayesian?” by Bradley Efron - Lindley - 1986 |

1 | Bargaining behind the scenes: Spousal negotiation, labor, and work-family burnout - Livingston |

1 | in press. A default Bayesian hypothesis test for mediation. Behavior Research Methods - Nuijten, Wetzels, et al. - 2014 |

1 |
Intake of wine, beer, and spirits and the risk of clinical common cold
- Takkouche, Regueira-Mendez, et al.
- 2002
(Show Context)
Citation Context ...ssat PENNSYLVANIA STATE UNIV on May 12, 2016jom.sagepub.comDownloaded froms528sJournal of Management / February 2015 wishes to study whether the consumption of red wine helps prevent the common colds(=-=Takkouche, Regueira-Mendez, Garcia-Closas, Figueiras, Gestal-Otero, & Hernan, 2002-=-).sAfter the data have been collected, the immediate, intuitive, and legitimate scientific question is, does the consumption of red wine help prevent the common cold or does it not? Ifsthere is any be... |