The political solidarity measure: development and validation in University student samples
| dc.contributor.author | Neufeld, Katelin Helene Siemens | |
| dc.contributor.examiningcommittee | Cameron, Jessica (Psychology) | en_US |
| dc.contributor.examiningcommittee | Vorauer, Jacquie (Psychology) | en_US |
| dc.contributor.examiningcommittee | Neville, Lukas (Business Administration) | en_US |
| dc.contributor.examiningcommittee | Hafer, Carolyn (Brock University) | en_US |
| dc.contributor.supervisor | Starzyk, Katherine B. (Psychology) Gaucher, Danielle (Psychology; University of Winnipeg) | en_US |
| dc.date.accessioned | 2018-09-11T13:40:19Z | |
| dc.date.available | 2018-09-11T13:40:19Z | |
| dc.date.issued | 2018 | en_US |
| dc.date.submitted | 2018-08-22T22:58:56Z | en |
| dc.degree.discipline | Psychology | en_US |
| dc.degree.level | Doctor of Philosophy (Ph.D.) | en_US |
| dc.description.abstract | Political solidarity is often key to addressing societal inequities and injustice (Mallett, Huntsinger, Sinclair, & Swim, 2008; Scholz, 2009). Yet social psychology is without a common definition or comprehensive measure of this construct, complicating advancements in this burgeoning field. To address these gaps, across five computer-based studies of Canadian university student samples, I created and validated the Political Solidarity Measure (PSM). I conceptualized political solidarity as consisting of three factors: allyship with a disadvantaged outgroup, a connection to their cause, and a commitment to working with them to achieve social change. In Study 1, 1,594 participants completed the initial 30-item pool. A series of exploratory factor analyses, along with indices of factor retention (e.g., when m = 3, RMSEA.LB < .06, AIC Δi < 1), supported the three-factor model. I retained three items per factor to create the 9-item PSM used in subsequent studies. Confirming this factor structure, a three-factor model adequately fit data collected for Study 2 (N = 273; Robust RMSEA = 08; Robust CFI = .97); I thus retained the three-factor model. In Study 3 (N = 259), I found evidence of the PSM’s convergent validity (rs > |.19|, ps < .03), discriminant validity (rs < |.10|, ps > .23), and its medium-term (three to six month) retest reliability, r(254) = .62, p < .001. Study 4 (N = 130) also assessed retest reliability, but in the short-term (a three-week period), r(121) = .60, p < .001. Finally, I demonstrate the PSM’s predictive validity in Study 5 (N = 221). Controlling for modern racism, PSM scores predicted collective action intentions and behavior benefitting the outgroup: Participants who reported higher political solidarity donated more to the outgroup’s cause, β = .25, t(215) = 3.21, p = .002, and were more likely to agree to create a message of support, than not agree, b(SE) = 1.09 (0.27), p < .001, OR = 2.98, 95% CI [1.76, 5.05]. The PSM will enable measurement of political solidarity across issues and time, facilitate comparisons of interventions to shift political solidarity, and add to knowledge of intergroup relations and social change. | en_US |
| dc.description.note | October 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/33293 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Political solidarity | en_US |
| dc.subject | Collective action | en_US |
| dc.subject | Scale development | en_US |
| dc.subject | Scale validation | en_US |
| dc.title | The political solidarity measure: development and validation in University student samples | en_US |
| dc.type | doctoral thesis | en_US |
| local.subject.manitoba | yes | en_US |