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Hurt Feelings in Women: The Interaction of Social and Individual Difference Factors

Published online by Cambridge University Press:  27 January 2016

Jodie L. Burchell
Affiliation:
University of Melbourne, Victoria, Australia
Alexandra Gorelik
Affiliation:
University of Melbourne, Victoria, Australia
Ross B. Wilkinson*
Affiliation:
University of Newcastle, New South Wales, Australia
*
ADDRESS FOR CORRESPONDENCE: Dr Ross Wilkinson, School of Psychology, University of Newcastle NSW 2308, Australia. Email: Ross.Wilkinson@newcastle.edu.au

Abstract

Research into the causes of hurt feelings has generally examined the impact of single predictors. The current article builds on previous literature by examining the interactive effects of several key elements of hurtful events in predicting the intensity of hurt. Two studies using community samples of women examined interactions between the type of hurtful event, the importance of the perpetrator, and victim hurt-proneness in predicting variance in hurt intensity. Study 1 (n = 475) used a series of scenarios as the hurtful stimulus while Study 2 (n = 380) used a number of recalled hurtful events. Both studies replicated previous bivariate relationships between perpetrator importance and hurt-proneness and the intensity of hurt, while the first study also demonstrated a significant effect for type of hurtful event. Both studies also found a significant three-way interaction between these variables, indicating that victim hurt-proneness only predicted the intensity of hurt at lower levels of event severity and perpetrator importance. It is concluded that the experience of hurt is multidimensional and contextual. Future directions for research involving gender differences and interventions for individuals and couples are discussed.

Information

Type
Research Article
Copyright
Copyright © The Author(s) 2016 
Figure 0

TABLE 1 Bivariate Relationships Between Hurt Intensity (Outcome Variable) and the Predictor Variables Type of Hurtful Event, Importance of the Perpetrator and Hurt-Proneness (HPS), Study 1 (N = 475)

Figure 1

FIGURE 1 Linear regression slopes between victim hurt-proneness and the intensity of hurt feelings when perpetrators are of low importance to the victim, plotted separately for ill-conceived humour and relational denigration and humiliation scenarios, Study 1 (n = 225).

Figure 2

FIGURE 2 Linear regression slopes between victim hurt-proneness and the intensity of hurt feelings when perpetrators are of high importance to the victim, plotted separately for ill-conceived humour and relational denigration and humiliation scenarios, Study 1 (n = 250).

Figure 3

FIGURE 3 The mean levels of hurt reported for each of the types of hurtful events in Study 2 (N = 380). Error bars represent the standard error of the mean.

Figure 4

TABLE 3 Frequency Per Cell For Type of Hurtful Event and Relationship for the 7 Category Hurtful Events Typology, Study 1 (N = 380).

Figure 5

TABLE 4 Bivariate Relationships Between Hurt at the Time of the Event (Outcome Variable), the Predictor Variables Type of Hurtful Event, Relationship with the Perpetrator and Hurt-Proneness and the Covariates Time Since Event and Length of Relationship, Study 2 (N = 380)

Figure 6

FIGURE 4 Linear regression slopes between victim hurt-proneness and the intensity of hurt feelings when perpetrators are of low importance to the victim, plotted separately for ill-conceived humour and relational denigration and intrinsic flaw events, Study 2 (n = 170).

Figure 7

FIGURE 5 Linear regression slopes between victim hurt-proneness and the intensity of hurt feelings when perpetrators are of high importance to the victim, plotted separately for ill-conceived humour and relational denigration and intrinsic flaw events, Study 2 (n = 194).