A subset of data from the National Youth Survey (NYS) measuring tolerance of deviant behaviour in adolescents over time (Raudenbush & Chan, 1992).
Format
deviant_tolerance_pp
A person-period data frame with 80 rows and 5 columns:
id
Participant ID.
age
Adolescent age in years.
tolerance
Average score across a 9-item scale assessing attitudes favourable to deviant behaviour. Each item used a four point scale (1 = very wrong, 2 = wrong, 3 = a little bit wrong, 4 = not wrong at all).
male
Binary indicator for whether the adolescent is a male.
exposure
Average score across a 9-item scale assessing level of exposure to deviant peers. Each item used a five point Likert score (ranging from 0 = none, to 4 = all).
deviant_tolerance_pl
A person-level data frame with 16 rows and 8 columns:
id
Participant ID.
tolerance_11
,tolerance_12
,tolerance_13
,tolerance_14
,tolerance_15
,Average score across a 9-item scale assessing attitudes favourable to deviant behaviour at ages 11, 12, 13, 14, and 15. Each item used a four point scale (1 = very wrong, 2 = wrong, 3 = a little bit wrong, 4 = not wrong at all).
male
Binary indicator for whether the adolescent is a male.
exposure
Average score across a 9-item scale assessing level of exposure to deviant peers. Each item used a five point Likert score (ranging from 0 = none, to 4 = all).
Source
Raudenbush, S. W., & Chan, W. S. (1992). Growth curve analysis in accelerated longitudinal designs. Journal of Research in Crime and Delinquency, 29, 387–411. https://doi.org/10.1177/0022427892029004001