data.DAPCS.Rd
This dataset contains responses to a 20-item Dependency-Oriented and Achievement-Oriented Psychological Control Scale (DAPCS), measuring four distinct factors of psychological control perceived by adolescents from their parents.
The data were collected in 2022 from a sample of 987 general high school students in China. Among the participants, 406 were male and 581 were female, with a mean age of 15.823 years (SD = 0.793).
The DAPCS scale was developed by Soenens and Vansteenkiste (2010). It consists of 20 items that are grouped into four distinct dimensions, each with demonstrated internal consistency:
Autonomy – Negative Reaction: Measures the extent of negative parental responses to adolescents' autonomy. Reliability: Cronbach's \(\alpha\) = 0.857
Dependence – Positive Reaction: Measures the extent of positive parental responses to adolescents' dependence. Reliability: Cronbach's \(\alpha\) = 0.817
Low Achievement – Negative Reaction: Measures the extent of negative parental responses to adolescents' low academic achievement. Reliability: Cronbach's \(\alpha\) = 0.885
High Achievement – Positive Reaction: Measures the extent of positive parental responses to adolescents' high academic achievement. Reliability: Cronbach's \(\alpha\) = 0.889
The scale contains 20 items rated on a 5-point Likert scale, ranging from 1 = strongly disagree to 5 = strongly agree.
In the dataset in this EFAfactors
package, the total scale
demonstrated a Cronbach's \(\alpha\) of 0.923, and the four subscales showed
Cronbach's \(\alpha\) ranging from 0.817 to 0.889, indicating good reliability.
Soenens, B., & Vansteenkiste, M. (2010). A theoretical upgrade of the concept of parental psychological control: Proposing new insights on the basis of self-determination theory. Developmental Review, 30(1), 74–99.
data(data.DAPCS)
response <- data.DAPCS[, -c(1, 2)]
head(response)
#> i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 i16 i17 i18 i19 i20
#> 1 2 2 2 4 2 4 4 4 4 4 2 4 2 4 2 3 4 4 4 4
#> 2 4 3 4 5 4 2 4 2 3 2 1 1 1 5 1 4 1 1 5 5
#> 3 3 3 2 3 2 3 3 2 3 2 2 3 3 3 2 3 3 3 3 4
#> 4 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3
#> 5 3 3 4 4 2 1 1 4 2 1 1 1 1 4 1 3 2 2 3 4
#> 6 1 4 1 1 1 2 4 2 2 2 2 2 2 4 2 4 4 4 4 4