Quantifying the qualitative: exploring epistemic network analysis as a method to study work system interactions.

Studying interactions faces methodological challenges and existing methods, such as configural diagramming, have limitations. This work demonstrates Epistemic Network Analysis (ENA) as an analytical method to construct configural diagrams. We demonstrated ENA as an analytical tool by applying this method to study dementia caregiver work systems. We conducted 20 semi-structured interviews with caregivers to collect caregiving experiences. Guided by the Patient Work System model, we conducted a directed content analysis to identify work system components and used ENA to study interactions between components. By using ENA to create configural diagrams, we identified five frequently occurring interactions, compared work system configurations of caregivers providing care at home and away from home. Although we were underpowered to determine statistically significant differences, we identified visual and qualitative differences. Our results demonstrate the capability of ENA as an analytical method for studying work system interactions through configural diagramming. Practitioner summary: A new methodology, Epistemic Network Analysis (ENA), was presented to better support the study of work system interactions through configural diagramming. ENA was applied to qualitative data to demonstrate the capabilities of this method to construct configural diagrams of the work system. This study successfully demonstrated that ENA can visually represent and describe work system configurations.

"I Felt Like a Hero:" Adolescents' Understanding of Resolution-Promoting and Vengeful Actions on Behalf of Their Peers.

Bystander intervention on behalf of victims of peer aggression is credited with reducing victimization, yet little is known about how bystanders evaluate their intervention efforts. African-, European-, Mexican-, and Native-American adolescents (N = 266) between 13 and 18 years (Mage = 15.0, 54% female) recounted vengeful and peaceful responses to a peer's victimization. For comparison, they also described acts of personal revenge. Youth's explanations of how they evaluated each action were coded for goals and outcomes. Befitting its moral complexity, self-evaluative rationales for third-party revenge cited more goals than the other two conditions. References to benevolence and lack thereof were more frequent after third-party revenge compared to personal revenge. Concerns that security was compromised and that actions contradicted self-direction were high after both types of revenge. Third-party resolution promoted benevolence, competence, self-direction, and security more than third-party revenge. Epistemic network analyses and thematic excerpts revealed the centrality of benevolence goals in adolescents' self-evaluative thinking. Self-focused and identity-relevant goals were cited in concert with benevolence after third-party intervention.

Third-Party Intervention in Peer Victimization: Self-Evaluative Emotions and Appraisals of a Diverse Adolescent Sample.

African American, European American, Mexican American, and Native American adolescents (N = 270) described how they felt and appraised their own actions in response to a peer's victimization. Analyses compared times they had calmed victim emotions, amplified anger, avenged, and resolved conflicts peacefully. Adolescents felt prouder, more helpful, more like a good friend, and expected more peer approval after calming and resolving than after amplifying anger or avenging peers. They also felt less guilt and shame after calming and resolving. Avenging elicited more positive self-evaluation than amplifying. Epistemic network analyses explored links between self-evaluative and other emotions. Pride was linked to relief after efforts to calm or resolve. Third-party revenge reflected its antisocial and prosocial nature with connections between pride, relief, anger, and guilt.