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This dataframe can be converted into a repgrid object via importDataframe(). The dataframe column names are the minimum of the rating scale (1), the element names (element_1 to element_4), the maximum of the rating scale (5), and optionally a column indicating the preferred pole. Each row contains the constructs' entries (left pole, ratings, right pole, preferred pole). The preferred pole must be one of left, right, none, NA (see preferredPoles()). See sample data df_element_columns.

Details

1element_1element_2element_3element_45preferred
left_pole_11534right_pole_1left
left_pole_23113right_pole_2right
left_pole_34251right_pole_3none

See also

Examples

df_element_columns
#>             1 element 1 element 2 element 3 element 4            5
#> 1 left pole 1         5         3         1         4 right pole 1
#> 2 left pole 2         3         3         5         3 right pole 2
#> 3 left pole 3         2         4         2         3 right pole 3
#>   preferred_pole
#> 1           left
#> 2          right
#> 3           none
importDataframe(df_element_columns)
#> 
#> META DATA:
#> Number of elements:  4 
#> Number of constructs:  3 
#> Preferred poles defined:  3/3 
#> 
#> SCALE INFO:
#> The grid is rated on a scale from 1 (left pole) to 5 (right pole)
#> 
#> RATINGS:
#>          element 2 - 2 3 - element 3          
#>        element 1 - 1 | | 4 - element 4        
#>                    | | | |                    
#> left pole 1 (+1)   5 3 1 4   (1-) right pole 1
#> left pole 2 (-2)   3 3 5 3   (2+) right pole 2
#> left pole 3 (/3)   2 4 2 3   (3/) right pole 3
#> 
#> Poles: (+) = preferred , (-) = non-preferred , (/) = none , (.) = not defined