Psychological well-being among university students: Problem solving, career-decision-making attitudes, and program commitment.
Bibliographic record
Abstract
University administrators are becoming increasingly aware of the importance of the university experience on students' psychological well-being. Bivariate research studies have suggested that social problem solving orientation, career-decision-malting attitudes, and program commitment may be related to student's psychological well-being. Their role in psychological well-being, as suggested by the literature, may not have been investigated completely. For example, these antecedent variables may change as a function of years of university experience. Also, there may be structural relationships between these variables that are better explained by a mediational model. Accordingly, the goals of this study are threefold. First, the relationships among students' social problem solving orientation, career-decision-making attitudes, university program commitment and psychological well-being were investigated. Second, the role of years of university experience relative to social problem solving orientation and career-decision-making attitudes was explored. Third, a path analytic design was proposed to identify potential mediating relationships among the variables related to psychological well-being. Participants included 394 students from the faculties of Arts and Social Sciences at the University of Ottawa. The results confirmed that social problem solving orientation, career-decision-making attitudes, and university program commitment were all significantly positively correlated to students' psychological well-being. A one-way Anova and post-hoc analyses suggested that years of university experience was positively related to social problem solving orientation and career-decision-making attitudes. However, the hypothesized path model was not supported. Rather, the final cross-validated path design begins with years of university experience leading to social problem solving orientation and career-decision-making attitudes. Career-decision-making attitudes was, in turn, directly related to psychological well-being while social problem solving orientation's influence on psychological well-being was mediated by university program commitment and career-decision-making attitudes. These results point to two major implications. First, future research should adopt a multidimensional longitudinal strategy that takes into account the developmental sequence of variables related to students' psychological well-being. Second, university administrators, career counsellors, and academic advisors should consider ways to develop students' social problem solving orientation to facilitate their career-decision-making attitudes, program commitment, and psychological well-being.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".