Biomedical subjects

Michelle Inness

Publications and source records attributed to Michelle Inness.

4 recordsLinked to original sources

PubMed2007

Predicting workplace aggression: a meta-analysis.

The authors conducted a meta-analysis of 57 empirical studies (59 samples) concerning enacted workplace aggression to answer 3 research questions. First, what are the individual and situational predictors of interpersonal and organizational aggression? Second, within interpersonal aggression, are there different predictors of supervisor- and coworker-targeted aggression? Third, what are the relative contributions of individual (i.e., trait anger, negative affectivity, and biological sex) and situational (i.e., injustice, job dissatisfaction, interpersonal conflict, situational constraints, and poor leadership) factors in explaining interpersonal and organizational aggression? Results show that both individual and situational factors predict aggression and that the pattern of predictors is target specific. Implications for future research are discussed.

Aggression↗

PubMed2006

Workplace aggression in teenage part-time employees.

Among adult employees, interpersonal injustice and abusive supervision predict aggression toward supervisors at work. The aim of this study was to assess whether similar relationships exist among teenage employees and, further, whether teenagers' reasons for working moderate these relationships. Multiple regression analyses on data from 119 teenage employees showed that financial and personal fulfillment reasons for working moderate the impact of interpersonal injustice and abusive supervision on aggression directed at workplace supervisors. These findings contribute to the understanding of workplace aggression by demonstrating that (a) teenagers engage in this workplace behavior, (b) the predictors are similar to those of adult aggression, and (c) reasons for working play a moderating role among this particular cohort. The possible long-term consequences of teenagers' use of aggression at work are discussed.

Adolescent↗

PubMed2005

Understanding supervisor-targeted aggression: a within-person, between-jobs design.

The authors investigated predictors of supervisor-targeted workplace aggression among 105 "moonlighters" (employed adults who work 2 jobs, each with a different supervisor), as a way of examining the relative role played by within-subject situational differences and between-subjects individual differences. Individual difference variables (self-esteem, history of aggression) explained a similar level of variance in aggression across both jobs, whereas situational factors (interactional injustice, abusive supervision) were job specific and explained proportionally more variance than did individual differences.

Adult↗

PubMed2005

Gender, mood state, and justice preference: do mood states moderate gender-based norms of justice?

The present study extends research on distributive justice by investigating whether a person's mood state moderates the robust effects of gender norms on allocation decisions. One hundred and eighty undergraduates (90 men: 90 women) were asked to undergo a mood induction procedure in which they were randomly assigned to a positive, negative, or neutral mood condition, and to work on a task with either a male or female co-worker (confederate). This resulted in a 2 (gender of participant) x 2 (gender of confederate) x 3 (positive vs. neutral vs. negative mood) between-subjects factorial design. Following completion of the task, participants were informed that they did 60% of the work and their co-worker did 40%. They were then asked to divide money between themselves and their co-worker in a way that they considered fair. The analysis revealed a three-way interaction in participants self-payment whereby men in a negative mood, working with other men took more pay for themselves than did participants in all other conditions. Specifically, 60% of the participants in this condition, allocated the payment either equitably or in a manner suggesting even greater self-interest. These results support the view that gender effects are strongly influenced by the presence of other relevant contextual cues.

Affect↗