Description Usage Format Details References Examples

Includes six pre-registered replication studies testing whether participants feel more powerful if they adopt expansive as opposed to constrictive body postures. In the data set `power_pose_unfamiliar`

, only those participants are included who were unfamiliar with the power pose effect.

1 2 3 |

A data frame with three variables:

`study`

Authors of original study

`n_high_power`

number of participants in high-power condition

`n_low_power`

number of participants in low-power condition

`mean_high_power`

mean rating in high-power condition on a 5-point Likert scale

`mean_low_power`

mean rating in low-power condition on a 5-point Likert scale

`sd_high_power`

standard deviation of ratings in high-power condition

`sd_low_power`

standard deviation of ratings in low-power condition

`t_value`

t-value for two-sample t-test

`df`

degrees of freedom for two-sample t-test

`two_sided_p_value`

two-sided p-value of two-sample t-test

`one_sided_p_value`

one-sided p-value of two-sample t-test

`effectSize`

Cohen's d, the standardized effect size (high vs. low power)

`SE`

Standard error of Cohen's d

Data frame with 6 rows and 13 variables

An object of class `data.frame`

with 6 rows and 13 columns.

See Carney, Cuddy, and Yap (2010) for more details.

Carney, D. R., Cuddy, A. J. C., & Yap, A. J. (2010). Power posing: Brief nonverbal displays affect neuroendocrine levels and risk tolerance. Psychological Science, 21, 1363–1368.

Gronau, Q. F., Erp, S. V., Heck, D. W., Cesario, J., Jonas, K. J., & Wagenmakers, E.-J. (2017). A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: the case of felt power. Comprehensive Results in Social Psychology, 2(1), 123-138. doi: 10.1080/23743603.2017.1326760

1 2 3 4 5 6 7 8 9 | ```
data(power_pose)
head(power_pose)
# Simple fixed-effects meta-analysis
mfix <- meta_fixed(effectSize, SE, study,
data = power_pose
)
mfix
plot_posterior(mfix)
``` |

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