VerbalAggression {psychotools}R Documentation

Situation-Response Questionnaire on Verbal Aggression

Description

Responses of 316 subjects to 24 items describing possible reactions to 4 different frustrating situations.

Usage

data("VerbalAggression")

Format

A data frame containing 316 observations on 4 variables.

resp

Item response matrix with values 0/1/2 coding no/perhaps/yes, respectively.

resp2

Dichotomized item response matrix with perhaps/yes merged to 1.

gender

Factor coding gender.

anger

Trait anger, assessed by the Dutch adaptation of the state-trait anger scale (STAS).

Details

The 24 items are constructed by factorial combination of four different frustrating situations (see below), three possible verbally aggressive responses (curse, scold, shout), and two behavioural models (want, do). The four situations are

S1: A bus fails to stop for me.
S2: I miss a train because a clerk gave me faulty information.
S3: The grocery store closes just as I am about to enter.
S4: The operator disconnects me when I used up my last 10 cents for a call.

Note that the first two situations are other-to-blame situations, and the latter two are self-to-blame situations.

The subjects were 316 first-year psychology students from a university in the Dutch speaking part of Belgium. Participation was a partial fulfillment of the requirement to participate in research. The sample consists of 73 males and 243 females, reflecting the gender proportion among psychology students. The average age was 18.4.

Source

Online materials accompanying De Boeck and Wilson (2004).

References

De Boeck, P., Wilson, M. (eds) (2004). Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach. New York: Springer-Verlag.

Smits, D.J.M., De Boeck, P., Vansteelandt, K. (2004). The Inhibition of Verbally Aggressive Behaviour European Journal of Personality, 18, 537-555. doi:10.1002/per.529

See Also

raschmodel

Examples

data("VerbalAggression", package = "psychotools")

## Rasch model for the self-to-blame situations
m <- raschmodel(VerbalAggression$resp2[, 1:12])
plot(m)

## IGNORE_RDIFF_BEGIN
summary(m)
## IGNORE_RDIFF_END

[Package psychotools version 0.7-3 Index]