TBD
Usage
indexSelfConstruction(
x,
self,
ideal,
others = c(-self, -ideal),
method = "euclidean",
p = 2,
normalize = TRUE,
round = FALSE
)Arguments
- x
A
repgridobject.- self
Numeric. Index of self element.
- ideal
Numeric. Index of ideal element.
- others
Numeric. Index(es) of self related "other" elements (e.g. father, friend).
- method
The distance or correlation measure:
Distances:
euclidean,manhattan,maximum,canberra,binary,minkowskiCorrelations:
pearson,kendall,spearman
- p
The power of the Minkowski distance, in case
minkowskiis used as argument formethod, otherwise it is ignored.- normalize
Normalize values?
- round
Round average rating scores for 'others' to closest integer?
Value
List object of class indexSelfConstruction, containing the results from the calculations:
grid: Reduced grid with self, ideal and othersmethod_type: method type (correlation or distance)method: correlation or distance method usedself_element: name of the self elementideal_element: name of the ideal elementother_elements: name(s) of other elementsself_ideal: measure between self and idealself_others: measure between self and othersideal_others: measure betwen ideal and others
Examples
# using distance measures
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "euclidean")
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> normalized euclidean distance
#>
#> COMPARISONS
#>
#> * Self - Ideal: 0.38
#> * Self - Others: 0.3
#> * Ideal - Others: 0.36
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "manhattan")
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> normalized manhattan distance
#>
#> COMPARISONS
#>
#> * Self - Ideal: 0.29
#> * Self - Others: 0.26
#> * Ideal - Others: 0.33
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "minkowski", p = 3)
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> normalized minkowski distance
#>
#> COMPARISONS
#>
#> * Self - Ideal: 0.44
#> * Self - Others: 0.34
#> * Ideal - Others: 0.39
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
# using correlation measures
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "pearson")
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> normalized pearson correlation
#> Note: All correlations use Cohen's rc version which is invariant to
#> construct reflections
#>
#> COMPARISONS
#>
#> * Self - Ideal: 0.48
#> * Self - Others: 0.12
#> * Ideal - Others: 0.6
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "spearman")
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> normalized spearman correlation
#> Note: All correlations use Cohen's rc version which is invariant to
#> construct reflections
#>
#> COMPARISONS
#>
#> * Self - Ideal: 0.48
#> * Self - Others: 0.12
#> * Ideal - Others: 0.6
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
# using not-normalized distances
indexSelfConstruction(boeker, 1, 2, c(3:11), method = "euclidean", normalize = FALSE)
#> =================
#> SELF CONSTRUCTION
#> =================
#>
#> Mean ratings for 'others' rounded to closest integer: FALSE
#>
#> MEASURE
#>
#> euclidean distance
#>
#> COMPARISONS
#>
#> * Self - Ideal: 7.07
#> * Self - Others: 5.63
#> * Ideal - Others: 6.72
#>
#> ELEMENTS
#>
#> * self: self
#> * ideal: ideal self
#> * others: mother, father, kurt, karl, george, martin, elizabeth, therapist,
#> irene
# printing the results (biplot only works with)
cp <- indexSelfConstruction(boeker, 1, 2, c(3:11))
cp$grid # grid with self, ideal and others
#>
#> META DATA:
#> Number of constructs: 14
#> Number of elements: 3
#>
#> SCALE INFO:
#> The grid is rated on a scale from 1 (left pole) to 6 (right pole)
#>
#> RATINGS:
#> 2 - ideal self
#> self - 1 | 3 - others
#> | | |
#> balanced (1) 1 4 3.44444444444444 (1) get along wit
#> isolated (2) 3 6 4.33333333333333 (2) sociable
#> ely integrated (3) 2 2 2.88888888888889 (3) excluded
#> discursive (4) 4 1 2.55555555555556 (4) passive
#> open minded (5) 2 1 3 (5) indifferent
#> dreamy (6) 4 5 4.44444444444444 (6) dispassionate
#> cally oriented (7) 2 1 2.55555555555556 (7) depressed
#> playful (8) 4 5 3.55555555555556 (8) serious
#> ocially minded (9) 2 1 3.33333333333333 (9) selfish
#> quarrelsome (10) 5 5 3.66666666666667 (10) peaceful
#> artistic (11) 5 1 3.22222222222222 (11) technical
#> scientific (12) 2 1 3.88888888888889 (12) emotional
#> introvert (13) 4 5 4.22222222222222 (13) extrovert
#> wanderlust (14) 1 1 4 (14) home oriente
#>
biplot2d(cp$grid, center = 4) # midopoint centering
