dingeszakkou2019muchstakeknowledge
/data/papers/dingeszakkou2019muchstakeknowledge/out/tables/tabula_stream_p13_t1.csv
Unnamed: 0 Unnamed: 1 Unnamed: 2 #EP Unnamed: 3 Unnamed: 4
a = .81 b = -1.65
ab = -1.34
COND COMP
c’ = -2.65
FIGURE 3 Path diagram illustrating the direct and the indirect effect of condition (COND) on composite
"scores (COMP) as mediated by the number of generated error-possibilities (#EP). a b and c0 are the respective"
(unstandardized) path coefficients
TABLE 3 Summary of regression analyses for condition predicting number of generated error-possibilities
and condition and number of generated error-possibilities predicting composite scores
Error-possibilities Composite score
Coefficient p Coefficient p
Condition a 0.81 <.001 c0 −2.65 <.001
Error-possibilities – b −1.65 <.001
2R = .31 2 R = .33
"F(1 168) = 19.12 p < .001" "F(2 167) = 40.62 p < .001"