data_powerperformance_ma: PowerPerformance ma - Ch9 - from Burgmer and Englich (2012),...
In rcalinjageman/esci: Estimation Statistics with Confidence Intervals
data_powerperformance_ma R Documentation
PowerPerformance ma - Ch9 - from Burgmer and Englich (2012), and Cusack et al. (2015)
Description
To what extent could feeling powerful affect your performance at motor
skills? To investigate, Burgmer and Englich (2012) assigned German
participants to either power or control conditions and then asked them to
play golf (Experiment 1) or darts (Experiment 2). They found that
participants manipulated to feel powerful performed substantially better than
those in the control condition. To study this finding further, Cusack et al.
(2015) conducted five replications in the United States. Across these
replications they tried different ways of manipulating power, different types
of tasks (golf, mirror tracing, and a cognitive task), different levels of
difficulty, and different types of participant pools (undergraduates and
online). Summary data from all seven studies are available in
PowerPerformance ma.
Usage
data_powerperformance_ma
Format
data_powerperformance_ma
A data frame with 8 rows and 12 columns:
- StudyName
factor
- Country
factor
- Population
factor
- Difficulty
factor
- Task
factor
- M Control
numeric
- s Control
numeric
- M Power
numeric
- s Power
numeric
- Cohen d unb
numeric
- n Control
integer
- n Power
integer
Source
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pone.0140806")}
rcalinjageman/esci documentation built on Dec. 23, 2024, 2:37 p.m.
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| data_powerperformance_ma | R Documentation |
PowerPerformance ma - Ch9 - from Burgmer and Englich (2012), and Cusack et al. (2015)
Description
To what extent could feeling powerful affect your performance at motor skills? To investigate, Burgmer and Englich (2012) assigned German participants to either power or control conditions and then asked them to play golf (Experiment 1) or darts (Experiment 2). They found that participants manipulated to feel powerful performed substantially better than those in the control condition. To study this finding further, Cusack et al. (2015) conducted five replications in the United States. Across these replications they tried different ways of manipulating power, different types of tasks (golf, mirror tracing, and a cognitive task), different levels of difficulty, and different types of participant pools (undergraduates and online). Summary data from all seven studies are available in PowerPerformance ma.
Usage
data_powerperformance_ma
Format
data_powerperformance_ma
A data frame with 8 rows and 12 columns:
- StudyName
factor
- Country
factor
- Population
factor
- Difficulty
factor
- Task
factor
- M Control
numeric
- s Control
numeric
- M Power
numeric
- s Power
numeric
- Cohen d unb
numeric
- n Control
integer
- n Power
integer
Source
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pone.0140806")}R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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