Elationship between Work-life Balance and Work Performance among Working Women in West Malaysia
Bibliographic record
Abstract
The purpose of the study is to examine the relationship between women's work-family balance and work performance among working women in West Malaysia.With the purpose of accomplishing the aforesaid objectives, a survey is carried out within West Malaysia among 11 states in West Malaysia.A quantitative technique is used for data collection.For this purpose, 395 questionnaire was distributed to working women from different working organisations and 384 questionnaires were returned back.Statistical package for social sciences (SPSS) were used for data analysis by assuming ANOVA, coefficient, correlation, normality, reliability, and regression analysis testings.Hence, the study found a statistically significant positive relationship between work-family and job performance among working women.It also found that a significant positive relationship exists between work-family balance dimension and job performance.Further, satisfaction balance is identified as the major contributor to job performance.It is anticipated that improving the work performance of women will not only increase organizational productivity but will also boost financial performance.As a result, the corporation and female employees have recommended that individuals focus on their engagement and satisfaction balance to improve their productivity or job performance.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".