A Study of the Marketing Mindset: Undergraduate Student Choice of Marketing Major in a Business-Biased Public University in Ghana
Bibliographic record
Abstract
Motivations for undergraduate student choice of marketing major have critical strategic human resource planningand long-term career satisfaction importance. Yet few studies have been devoted to it. Based on four hypotheses,this study examined the correlation between job, personal, educational and gender factors, and undergraduatestudents’ choice of marketing major, and influential relationship of various close affinities (individuals) with thatchoice in a business biased Public University in Ghana. A cross-sectional quantitative study based on apopulation sample size of 527, this research examined 21 variables captured in a closed-ended questionnaireadministered to a sampled student population of marketing major students for three-month duration. Descriptiveanalysis, Chi-Square test, multiple linear regressions, Pearson correlation, factorial and component analyses werecalculated of data. Whiles results indicated the female gender is not correlated to choice of marketing profession,personal interest factors was positively related to the choice, followed by the nature of marketing, quality andreputation of lecturers, and job related factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".