An Introduction to Bayesian Data Analysis for Correlations

Nuzzo, Regina

doi:10.1016/j.pmrj.2017.11.003

Cited by 48 publications

(44 citation statements)

References 6 publications

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“…A BF 10 >3 is regarded as moderate evidence for the alternative hypothesis (with BF 10 >10 indicating strong evidence), and a BF 10 between 1 and 3 as merely anecdotal evidence. In contrast, a BF 10 <0.33 is regarded as moderate evidence for the null hypothesis (with BF 10 <0.1 indicating strong evidence), and a BF 10 between 1 and 0.33 as anecdotal evidence ( Dienes, 2011 ; Nuzzo, 2017 ). Results pertaining to the ANOVA interaction effects and regression analyses are presented in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Cognition in Motion: Evidence for Intact Action Control With Healthy Aging

Ruitenberg

Koppelmans

2020

The Journals of Gerontology: Series B

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Objectives Healthy aging is associated with impairments in motor functioning. Such functioning is not limited to the physical execution of actions, but also involves cognitive processes that allow for goal-directed behavior. The present study examined whether aging affects two of such cognitive components that control motor functioning, namely action planning and action adaptation, and whether age effects are associated across components. Method A group of 103 participants aged 18-82 years performed two tasks that have previously been linked to action planning and adaptation, respectively. Results Despite observations that aging was associated with slower and less accurate responses, Bayesian models showed evidence indicating that older age was not associated with poorer action planning and conflict adaptation. Discussion These findings challenge the view that healthy aging is associated with a general deficit in motor functioning, and suggest that some cognitive aspects of motor control may be relatively spared.

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Section: Methodsmentioning

confidence: 99%

Cognition in Motion: Evidence for Intact Action Control With Healthy Aging

Ruitenberg

Koppelmans

2020

The Journals of Gerontology: Series B

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“…BF 10 indicates the Bayes factor in favor of H 1 over H 0 , that is, gives the likelihood of the data under the alternative hypothesis divided by the likelihood of the data under null hypothesis. BF 01 indicates the Bayes factor in favor of H 0 over H 1 , that is, gives the likelihood of the data under the null hypothesis divided by the likelihood of the data under alternative hypothesis (Nuzzo, 2017; Halter, 2018; Wagenmakers et al, 2018b). According to Wagenmakers et al (2018a) a BF 10 > 100 indicates extreme evidence for H 1 , a BF 10 = 30–100 indicates very strong evidence for H 1 , a BF 10 = 10–30 indicates strong evidence for H 1 , a BF 10 = 3–10 indicates moderate evidence for H 1 , a BF 10 = 1–3 signals anecdotal evidence for H 1 , BF 10 = 1 indicates no evidence for H 1 , BF 10 = 0.3–1 signals anecdotal evidence for H 0 , BF 10 = 0.1–0.3 indicates moderate evidence for H 0 , BF 10 = 0.03–0.1 signals strong evidence for H 0 , BF 10 = 0.01–0.03 indicates very strong evidence for H 0 , and a BF 10 < 0.01 indicates extreme evidence for H 0 .…”

Section: Methodsmentioning

confidence: 99%

Better Than Its Reputation? Gossip and the Reasons Why We and Individuals With “Dark” Personalities Talk About Others

2019

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Gossip is an ubiquitous phenomenon. Hearing information about others serves important social functions such as learning without direct interaction and observation. Despite important social functions gossip has a rather negative reputation. Therefore, the present online study focuses on the reasons why people gossip and how these reasons are related to personality (i.e., dark triad) and situational settings. Six distinct motives were identified that underlie gossip behavior: information validation, information gathering, relationship building, protection, social enjoyment, and negative influence. The most important motive was validating information about the gossip target followed by the motive to acquire new information about the gossip target. The least important motive was harming the gossip target. The motivational pattern was highly similar between private and work context. Interestingly, the importance of motives mainly depends on the gossiper's narcissism both in work and in private settings. The findings suggest that the negative reputation of gossip is not justified. In fact, even “dark” personalities appear to use gossip to tune their picture of other humans and themselves and not to harm others.

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“…La estadística bayesiana permite cuantificar la evidencia asociada a las hipótesis y a sus modelos asociados, lo que refuerza la metodología estadística que permite estimar de forma más contundente, por ejemplo, el rechazo de la hipótesis nula en análisis correlaciónales 3 . Este enfoque utiliza el factor Bayes como método cuantificable del grado en que los datos respaldan a dos modelos que pueden nombrarse clásicamente como la hipótesis nula o a la hipótesis alterna, y cuyos valores interpretables 3,4,5 son sistematizados en: "débil", "moderado", "fuerte" y "muy fuerte" (tabla 1).…”

Section: Bayesian Inference As Replication and Quantification In Clinunclassified

La inferencia bayesiana como replicación y cuantificación en la investigación clínica

Ramos-Vera

2020

Rev Chil Pediatr

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An Introduction to Bayesian Data Analysis for Correlations

Cited by 48 publications

References 6 publications

Cognition in Motion: Evidence for Intact Action Control With Healthy Aging

Cognition in Motion: Evidence for Intact Action Control With Healthy Aging

Better Than Its Reputation? Gossip and the Reasons Why We and Individuals With “Dark” Personalities Talk About Others

La inferencia bayesiana como replicación y cuantificación en la investigación clínica

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