Factors Influencing Spousal Role Reform and Purchase Decision in Nigeria: A Study of Consumable and Durable Goods
Bibliographic record
Abstract
The relationship between spousal role and purchase behavior is drawing more research attention especially with the rapidly changing lifestyles and demographics in cities. This paper investigated inter-spousal role on consumer purchase behavior of consumables and durable goods in Port Harcourt. Cluster sampling was carried out in Port Harcourt city and 95 spouses (medical doctors, nurses, and lecturers) were surveyed through the questionnaire instrument in Port Harcourt. Spearman rank correlation coefficient and multiple regression were adopted for the hypotheses testing. It revealed that socio-cultural characteristics, income, product idea, gender role orientation, level of involvement reforms significantly and positively influenced purchase decision of interspousal role while age had the least influence on the purchase decision. It concluded that a spouse who possesses these factor(s) affects the kind of purchase decision on durable and consumable goods. The study recommended that marketers should proactively identify, segment, position and develop marketing programs that appeal to a spouse who possesses and wades influence during purchase decision so as to secure sustained patronage.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".