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A subset of data from the National Youth Survey (NYS) measuring tolerance of deviant behaviour in adolescents over time (Raudenbush & Chan, 1992).

Usage

deviant_tolerance_pp

deviant_tolerance_pl

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

Note

Raudenbush and Chan (1992) comment that exposure was a time-varying predictor in the original study; however, Singer and Willett (2003) provide exposure as a time-invariant predictor.