Socio-Psychological Impact of Indices of Spousal Incompatibility on Marital Stability Among Couples in Lagos Metropolis, Nigeria
Bibliographic record
Abstract
The study investigated the effects of spousal incompatibility on marital stability in Lagos metropolis. In carrying out the research, a descriptive survey research design was employed. Cluster sampling method was used to select a sample of 200 respondents from the population of all married women in Eti-Osa Local Government Area of Lagos State. Three research questions and hypotheses were formulated to guide the study. A researcher-designed questionnaire was the major instrument used in collecting the data which were analyzed using Pearson Product Moment Correlation coefficient statistical tool. Results showed that there is a statistically significant positive relationship between the educational levels of spouses and marital stability. The findings also suggest that age differences between couples and religion also impacted on marital stability of couples. Based on these findings, it was recommended that youth who intend to marry should seek the informed counsel of a professional marriage counselor to help them in making the right choices and exposing them to the indices of spousal compatibility in marriage.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".