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Record W7065376496

The Effect of the COVID-19 Pandemic on Loneliness, Life Meaning, and Resilience among Indigenous and Non-Indigenous Post-Secondary Students: Improving Academic Success, Inclusion, and Stress Recovery

2022· dissertation· en· W7065376496 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessIndigenousPsychological resilienceSocial supportWell-beingVulnerability (computing)Curriculum
DOInot available

Abstract

fetched live from OpenAlex

Background Research: The COVID-19 pandemic has likely impacted the resilience of Indigenous and non-Indigenous post-secondary students in Canada. Resilience may be negatively impacted by psychological experiences such as emotional loneliness, social loneliness, and a lack of life meaning. These three psychological experiences are exacerbated by lock down measures, quarantining, and cancelled events such as weddings and funerals. Young adults in post-secondary education must already manage challenging developmental milestones, often with unstable social and familial networks. Furthermore, Indigenous students must manage potentially discriminatory post-secondary environments, as well as school curriculums that challenge Indigenous values. Understanding this, school environments require decolonizing improvements that meet the psychological needs of their students in a changing social, economic, and political climate. Improvements to loneliness and life meaning may subsequently improve resilience, in addition to academic success, inclusion, and stress recovery. Objectives: This thesis aims to provide solution-focused data using Indigenous research methodologies. This thesis specifically explores the statistical relations between emotional loneliness, social loneliness, life meaning, and resilience. Barriers to social support options (i.e., counselling, group therapy, clubs, family, friends, etc.) and university-endorsed activities (i.e., jobs, volunteering, leadership roles, etc.) are also explored for their respective impact on experiences of loneliness and life meaning. Students’ response rates and Indigenous written responses are then analysed (1) to better understand students’ lived experiences, and (2) to uncover decolonizing approaches to improving both on campus social support options and university-endorsed activities. Hypotheses: (H1) Students will report higher scores on measures of emotional loneliness than social loneliness. (H2) Lower scores on measures of emotional loneliness, as well as higher scores on measures of life meaning, will predict higher scores on measures of resilience. (H3) Lower scores on measures of perceived barriers when accessing social support options will predict lower scores on measures of loneliness. (H4) Lower scores on measures of perceived barriers when accessing university-endorsed activities will predict higher scores on measures of life meaning. Method: This thesis incorporates a decolonizing methodology outlined by Hayward et al. (2021). This study utilizes 676 participant responses (3.30% of which identified as Indigenous) from students attending the University of Victoria in a full- or part-time program (Ages: 16-56 years, M = 20.13, SD = 3.84). Data collection occurred between September to December 2021, allowing for responses over the course of one semester. During this period, students were in the process of returning to campus, with daily national COVID-19 cases around roughly 3,000-4000 individuals (Worldometer, n.d.). Online recruitment methods were completed through the Department of Psychology SONA Research Participation System, and through a listserv utilized by the IACE at the University of Victoria. Demographic Questions included employment, financial stability, living situation, social circumstances, school status, workload, and the impact of the COVID-19 pandemic on wellbeing. Standardized Questionnaires included the de Jong Gierveld Loneliness Scale, the Life Engagement Test, and the Brief Resiliency Questionnaire. Additional Questionnaires were created to assess student experiences when accessing both social support options (i.e., the source for support, the method and frequency of contact, and barriers when accessing) and university-endorsed activities (i.e., valued activities, valued aspects of activities, and barriers when accessing). Analysis: At the broadest level, t-tests and hierarchical regression analyses are used to demonstrate a theoretical relation between various predictors and predicted variables. To provide more detail, student response rates for various questionnaires are used to contextualize student experiences when seeking social support options and meaningful activities. For an in-depth account of student experiences, four separate thematic analyses are conducted on Indigenous written responses. Results: All four hypotheses were supported. Scores of emotional loneliness were higher than scores of social loneliness (H1). Scores of resilience were significantly predicted by scores of emotional loneliness and life meaning (H2). These findings justified an exploratory analysis, which demonstrated that only scores of life meaning, and not resilience, emotional loneliness, or social loneliness, predicted scores of school satisfaction. More frequent experiences of barriers to social support options or university-endorsed activities respectively predicted higher scores of loneliness (H3) and lower scores of life meaning (H4). These results are complemented and expanded upon by notable response rates and themes identified from Indigenous student written responses. Discussion: These results suggest the importance of resolving emotional loneliness and a lack of life meaning among post-secondary students, which may be feasible with the use of social support services and university endorsed activities. This may subsequently improve experiences of resilience and school satisfaction. Social Support Options: The Indigenous and general sample both preferred informal, offline, and known sources of support; they also preferred face-to-face, texting, video calling, and phone calling as methods of communication. Common barriers to social support options included issues of cost, the perceived severity of their needs, availability, and a perceived lack of closeness with supports. Across all domains, Indigenous participants were more likely to experience barriers when seeking support. Indigenous written responses specifically identified a need for (1) more considerate services, (2) more culturally and racially specialized services, (3) increased time and availability for each student, and (4) lowered costs. University-Endorsed Activities: The Indigenous and general sample were both more likely to value paid jobs, volunteering, research assistant positions, and off-campus employment, when compared to teaching assistant positions, on-campus employment, or other unpaid positions. They were also most likely to value meeting people with similar interests and gaining knowledge. Students were most likely to face barriers related to a lack of relevant or remote university-endorsed activities. Indigenous written responses suggest an increased need for meaningful, accessible, culturally relevant, and financially rewarding activities. Twenty-one recommendations are offered to decolonize and improve post-secondary settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.280
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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